Introduction
This report shows citation-based and other bibliometric results from iCite for PRIMED publications.
All citations
View the full iCite report for all PRIMED publications. The full iCite report contains information about citations to PRIMED publications by any other publication.
Citations within PRIMED only
The PRIMED CC has also generated metrics for citations by PRIMED publications to other PRIMED publications.
Total citations by publication year
The following figure shows the publication year of the cited publication, for PRIMED publications that were cited by another PRIMED publication.
Total citations by year cited
The following figure shows the publication year of the citing publication, for PRIMED publications that cited another PRIMED publication.
Most cited publications
The following table shows the 10 PRIMED publications that were most cited by other PRIMED publications. The “number of citations” columns shows the number of other PRIMED publications citing this publication.
| pmid | number of citations | year | title | authors |
|---|---|---|---|---|
| 35513724 | 33 | 2022 | Improving polygenic prediction in ancestrally diverse populations. | Ruan , Lin , Feng , Chen , Lam , Guo , NA , He , Sawa , Martin , Qin , Huang , Ge , Ruan, Yunfeng , Lin, Yen-Feng , Feng, Yen-Chen Anne , Chen, Chia-Yen , Lam, Max , Guo, Zhenglin , Stanley Global Asia Initiatives, He, Lin , Sawa, Akira , Martin, Alicia R , Qin, Shengying , Huang, Hailiang , Ge, Tian , Yunfeng , Yen-Feng , Yen-Chen Anne , Chia-Yen , Max , Zhenglin , NA , Lin , Akira , Alicia R , Shengying , Hailiang , Tian |
| 35354965 | 11 | 2022 | Polygenic scores in biomedical research. | Kullo , Lewis , Inouye , Martin , Ripatti , Chatterjee , Kullo, Iftikhar J , Lewis, Cathryn M , Inouye, Michael , Martin, Alicia R , Ripatti, Samuli , Chatterjee, Nilanjan, Iftikhar J , Cathryn M , Michael , Alicia R , Samuli , Nilanjan |
| 35437332 | 10 | 2022 | Development of a clinical polygenic risk score assay and reporting workflow. | Hao , Kraft , Berriz , Hynes , Koch , Korategere V Kumar , Parpattedar , Steeves , Yu , Antwi , Brunette , Danowski , Gala , Green , Jones , Lewis , Lubitz , Natarajan , Vassy , Lebo , Hao, Limin , Kraft, Peter , Berriz, Gabriel F , Hynes, Elizabeth D , Koch, Christopher , Korategere V Kumar, Prathik, Parpattedar, Shruti S , Steeves, Marcie , Yu, Wanfeng , Antwi, Ashley A , Brunette, Charles A , Danowski, Morgan , Gala, Manish K , Green, Robert C , Jones, Natalie E , Lewis, Anna C F , Lubitz, Steven A , Natarajan, Pradeep , Vassy, Jason L , Lebo, Matthew S , Limin , Peter , Gabriel F , Elizabeth D , Christopher , Prathik , Shruti S , Marcie , Wanfeng , Ashley A , Charles A , Morgan , Manish K , Robert C , Natalie E , Anna C F , Steven A , Pradeep , Jason L , Matthew S |
| 35765100 | 10 | 2022 | Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations. | Ge , Irvin , Patki , Srinivasasainagendra , Lin , Tiwari , Armstrong , Benoit , Chen , Choi , Cimino , Davis , Dikilitas , Etheridge , Feng , Gainer , Huang , Jarvik , Kachulis , Kenny , Khan , Kiryluk , Kottyan , Kullo , Lange , Lennon , Leong , Malolepsza , Miles , Murphy , Namjou , Narayan , O’Connor , Pacheco , Perez , Rasmussen-Torvik , Rosenthal , Schaid , Stamou , Udler , Wei , Weiss , Ng , Smoller , Lebo , Meigs , Limdi , Karlson , Ge, Tian , Irvin, Marguerite R , Patki, Amit , Srinivasasainagendra, Vinodh, Lin, Yen-Feng , Tiwari, Hemant K , Armstrong, Nicole D , Benoit, Barbara , Chen, Chia-Yen , Choi, Karmel W , Cimino, James J , Davis, Brittney H , Dikilitas, Ozan , Etheridge, Bethany , Feng, Yen-Chen Anne , Gainer, Vivian , Huang, Hailiang , Jarvik, Gail P , Kachulis, Christopher , Kenny, Eimear E , Khan, Atlas , Kiryluk, Krzysztof , Kottyan, Leah , Kullo, Iftikhar J , Lange, Christoph , Lennon, Niall , Leong, Aaron , Malolepsza, Edyta , Miles, Ayme D , Murphy, Shawn , Namjou, Bahram , Narayan, Renuka , O’Connor, Mark J , Pacheco, Jennifer A , Perez, Emma , Rasmussen-Torvik, Laura J , Rosenthal, Elisabeth A , Schaid, Daniel , Stamou, Maria , Udler, Miriam S , Wei, Wei-Qi , Weiss, Scott T , Ng, Maggie C Y , Smoller, Jordan W , Lebo, Matthew S , Meigs, James B , Limdi, Nita A , Karlson, Elizabeth W , Tian , Marguerite R , Amit , Vinodh , Yen-Feng , Hemant K , Nicole D , Barbara , Chia-Yen , Karmel W , James J , Brittney H , Ozan , Bethany , Yen-Chen Anne , Vivian , Hailiang , Gail P , Christopher , Eimear E , Atlas , Krzysztof , Leah , Iftikhar J , Christoph , Niall , Aaron , Edyta , Ayme D , Shawn , Bahram , Renuka , Mark J , Jennifer A , Emma , Laura J , Elisabeth A , Daniel , Maria , Miriam S , Wei-Qi , Scott T , Maggie C Y , Jordan W , Matthew S , James B , Nita A , Elizabeth W |
| 37198491 | 10 | 2023 | Polygenic scoring accuracy varies across the genetic ancestry continuum. | Ding , Hou , Xu , Pimplaskar , Petter , Boulier , Privé , Vilhjálmsson , Olde Loohuis , Pasaniuc , Ding, Yi , Hou, Kangcheng , Xu, Ziqi , Pimplaskar, Aditya , Petter, Ella , Boulier, Kristin , Privé, Florian , Vilhjálmsson, Bjarni J, Olde Loohuis, Loes M , Pasaniuc, Bogdan , Yi , Kangcheng , Ziqi , Aditya , Ella , Kristin , Florian , Bjarni J , Loes M , Bogdan |
| 38310129 | 10 | 2024 | Improving polygenic risk prediction in admixed populations by explicitly modeling ancestral-differential effects via GAUDI. | Sun , Rowland , Chen , Mikhaylova , Avery , Peters , Lundin , Matise , Buyske , Tao , Mathias , Reiner , Auer , Cox , Kooperberg , Thornton , Raffield , Li , Sun, Quan , Rowland, Bryce T , Chen, Jiawen , Mikhaylova, Anna V , Avery, Christy , Peters, Ulrike , Lundin, Jessica , Matise, Tara , Buyske, Steve , Tao, Ran , Mathias, Rasika A , Reiner, Alexander P, Auer, Paul L , Cox, Nancy J , Kooperberg, Charles, Thornton, Timothy A, Raffield, Laura M , Li, Yun , Quan , Bryce T , Jiawen , Anna V , Christy , Ulrike , Jessica , Tara , Steve , Ran , Rasika A , Alexander P , Paul L , Nancy J , Charles , Timothy A , Laura M , Yun |
| 37414900 | 8 | 2023 | A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease. | Patel , Wang , Ruan , Koyama , Clarke , Yang , Tcheandjieu , Agrawal , Fahed , Ellinor , NA , Tsao , Sun , Cho , Wilson , Assimes , van Heel , Butterworth , Aragam , Natarajan , Khera , Patel, Aniruddh P , Wang, Minxian , Ruan, Yunfeng , Koyama, Satoshi , Clarke, Shoa L , Yang, Xiong , Tcheandjieu, Catherine , Agrawal, Saaket , Fahed, Akl C , Ellinor, Patrick T , Genes & Health Research Team; the Million Veteran Program, Tsao, Philip S , Sun, Yan V , Cho, Kelly , Wilson, Peter W F , Assimes, Themistocles L , van Heel, David A , Butterworth, Adam S , Aragam, Krishna G , Natarajan, Pradeep , Khera, Amit V , Aniruddh P , Minxian , Yunfeng , Satoshi , Shoa L , Xiong , Catherine , Saaket , Akl C , Patrick T , NA , Philip S , Yan V , Kelly , Peter W F , Themistocles L , David A , Adam S , Krishna G , Pradeep , Amit V |
| 37620596 | 8 | 2024 | Principles and methods for transferring polygenic risk scores across global populations. | Kachuri , Chatterjee , Hirbo , Schaid , Martin , Kullo , Kenny , Pasaniuc , NA , Witte , Ge , Kachuri, Linda , Chatterjee, Nilanjan , Hirbo, Jibril , Schaid, Daniel J , Martin, Iman , Kullo, Iftikhar J , Kenny, Eimear E , Pasaniuc, Bogdan , Polygenic Risk Methods in Diverse Populations (PRIMED) Consortium Methods Working Group, Witte, John S , Ge, Tian , Linda , Nilanjan , Jibril , Daniel J , Iman , Iftikhar J , Eimear E , Bogdan , NA , John S , Tian |
| 34811547 | 7 | 2022 | Clinical utility of polygenic risk scores for coronary artery disease. | Klarin , Natarajan , Klarin, Derek , Natarajan, Pradeep, Derek , Pradeep |
| 34931067 | 6 | 2022 | Large uncertainty in individual polygenic risk score estimation impacts PRS-based risk stratification. | Ding , Hou , Burch , Lapinska , Privé , Vilhjálmsson , Sankararaman , Pasaniuc , Ding, Yi , Hou, Kangcheng , Burch, Kathryn S , Lapinska, Sandra , Privé, Florian , Vilhjálmsson, Bjarni, Sankararaman, Sriram, Pasaniuc, Bogdan , Yi , Kangcheng , Kathryn S , Sandra , Florian , Bjarni , Sriram , Bogdan |