Jason Flannick

29.2k total citations · 2 hit papers
48 papers, 2.7k citations indexed

About

Jason Flannick is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Jason Flannick has authored 48 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 23 papers in Molecular Biology and 9 papers in Surgery. Recurrent topics in Jason Flannick's work include Genetic Associations and Epidemiology (20 papers), Bioinformatics and Genomic Networks (10 papers) and Pancreatic function and diabetes (8 papers). Jason Flannick is often cited by papers focused on Genetic Associations and Epidemiology (20 papers), Bioinformatics and Genomic Networks (10 papers) and Pancreatic function and diabetes (8 papers). Jason Flannick collaborates with scholars based in United States, United Kingdom and Finland. Jason Flannick's co-authors include Johannes Gehrke, José C. Florez, Balaji S. Srinivasan, Serafim Batzoglou, Antal Novak, David Altshuler, Harley H. McAdams, Manuel Calimlim, Pål R. Njølstad and Stefan Johansson and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jason Flannick

41 papers receiving 2.6k citations

Hit Papers

Sequential PAttern mining using a bitmap representation 2002 2026 2010 2018 2002 2018 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jason Flannick United States 24 959 784 767 534 459 48 2.7k
Amir Ben‐Dor United States 24 2.9k 3.0× 897 1.1× 250 0.3× 218 0.4× 796 1.7× 53 4.7k
Kevin Y. Yip Hong Kong 33 2.2k 2.3× 433 0.6× 297 0.4× 210 0.4× 521 1.1× 106 3.4k
Won Suk Lee South Korea 29 817 0.9× 169 0.2× 426 0.6× 190 0.4× 457 1.0× 121 3.3k
Felix Agakov United Kingdom 21 549 0.6× 391 0.5× 249 0.3× 77 0.1× 463 1.0× 44 2.3k
Pietro Hiram Guzzi Italy 29 1.7k 1.8× 165 0.2× 223 0.3× 332 0.6× 400 0.9× 221 3.2k
Lucia Sacchi Italy 26 587 0.6× 138 0.2× 195 0.3× 61 0.1× 593 1.3× 129 2.5k
Chun‐Nan Hsu Taiwan 26 871 0.9× 210 0.3× 639 0.8× 81 0.2× 1.2k 2.5× 103 2.6k
Stefan Krämer Germany 22 1.0k 1.1× 405 0.5× 335 0.4× 413 0.8× 374 0.8× 70 2.3k
Aris Floratos United States 15 1.1k 1.1× 474 0.6× 95 0.1× 185 0.3× 222 0.5× 26 2.5k
Corrado Priami Italy 23 1.5k 1.6× 236 0.3× 128 0.2× 480 0.9× 328 0.7× 182 2.4k

Countries citing papers authored by Jason Flannick

Since Specialization
Citations

This map shows the geographic impact of Jason Flannick's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jason Flannick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Flannick more than expected).

Fields of papers citing papers by Jason Flannick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason Flannick. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jason Flannick. The network helps show where Jason Flannick may publish in the future.

Co-authorship network of co-authors of Jason Flannick

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Flannick. A scholar is included among the top collaborators of Jason Flannick based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason Flannick. Jason Flannick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Costanzo, Maria C., et al.. (2025). Realizing the promise of genome-wide association studies for effector gene prediction. Nature Genetics. 57(7). 1578–1587. 2 indexed citations
2.
Kreienkamp, Raymond J., Aaron J. Deutsch, Alicia Huerta‐Chagoya, et al.. (2025). Type 1 Diabetes Polygenic Scores Improve Diagnostic Accuracy in Pediatric Diabetes Care. Hormone Research in Paediatrics. 1–17.
3.
Hu, Siqi, Rachel Y. Diao, Kimberly Glass, et al.. (2025). An Alternatively Translated Isoform of PPARG Suggests AF-1 Domain Inhibition as an Insulin Sensitization Target. Diabetes. 74(4). 651–663. 1 indexed citations
4.
Arnett, Anne B., Ryan Koesterer, Han Zhang, et al.. (2025). Common and rare genetic variants explain distinct diagnostic variance in pediatric attention deficit hyperactivity disorder. Genetics in Medicine. 27(12). 101598–101598.
5.
Kwak, Soo Heon, Shylaja Srinivasan, Ling Chen, et al.. (2024). Genetic architecture and biology of youth-onset type 2 diabetes. Nature Metabolism. 6(2). 226–237. 16 indexed citations
6.
Mercader, Josep M., Amy K. Mottl, Rachelle Gandica, et al.. (2024). Genetic architecture and biology of youth-onset type 2 diabetes. UNC Libraries.
7.
Wang, Yuqi, Jacqueline S. Dron, Ryan Koesterer, et al.. (2024). Genome-wide discovery and integrative genomic characterization of insulin resistance loci using serum triglycerides to HDL-cholesterol ratio as a proxy. Nature Communications. 15(1). 8068–8068. 6 indexed citations
8.
Han, Seong Kyu, Michelle T. McNulty, Christopher J. Benway, et al.. (2023). Mapping genomic regulation of kidney disease and traits through high-resolution and interpretable eQTLs. Nature Communications. 14(1). 2229–2229. 11 indexed citations
9.
Deaton, Aimée M., Aditi Dubey, Lucas D. Ward, et al.. (2022). Rare loss of function variants in the hepatokine gene INHBE protect from abdominal obesity. Nature Communications. 13(1). 4319–4319. 28 indexed citations
10.
Dornbos, Peter, Ryan Koesterer, Trang Thi Huyen Nguyen, et al.. (2022). A combined polygenic score of 21,293 rare and 22 common variants improves diabetes diagnosis based on hemoglobin A1C levels. Nature Genetics. 54(11). 1609–1614. 22 indexed citations
11.
Zhang, Jianhua, Weiping Chen, Guanjie Chen, et al.. (2022). Ancestry-specific high-risk gene variant profiling unmasks diabetes-associated genes. Human Molecular Genetics. 33(8). 655–666.
12.
Dornbos, Peter, Preeti Singh, Dongkeun Jang, et al.. (2022). Evaluating human genetic support for hypothesized metabolic disease genes. Cell Metabolism. 34(5). 661–666. 36 indexed citations
13.
Mejhert, Niklas, Katlyn R. Gabriel, Scott Frendo‐Cumbo, et al.. (2022). The Lipid Droplet Knowledge Portal: A resource for systematic analyses of lipid droplet biology. Developmental Cell. 57(3). 387–397.e4. 54 indexed citations
14.
Todd, Jennifer N., Jeffrey W. Kleinberger, Haichen Zhang, et al.. (2021). Monogenic Diabetes in Youth With Presumed Type 2 Diabetes: Results From the Progress in Diabetes Genetics in Youth (ProDiGY) Collaboration. Diabetes Care. 44(10). 2312–2319. 18 indexed citations
15.
Kayatekin, Can, Giorgio Gaglia, Jason Flannick, et al.. (2018). Translocon Declogger Ste24 Protects against IAPP Oligomer-Induced Proteotoxicity. Cell. 173(1). 62–73.e9. 41 indexed citations
16.
Lim, Elaine T., Yangfan P. Liu, Yingleong Chan, et al.. (2014). A Novel Test for Recessive Contributions to Complex Diseases Implicates Bardet-Biedl Syndrome Gene BBS10 in Idiopathic Type 2 Diabetes and Obesity. The American Journal of Human Genetics. 95(5). 509–520. 25 indexed citations
17.
Ito, Kaoru, Alexander G. Bick, Jason Flannick, et al.. (2013). Increased Burden of Cardiovascular Disease in Carriers of APOL1 Genetic Variants. Circulation Research. 114(5). 845–850. 110 indexed citations
18.
Flannick, Jason, Joshua M. Korn, Pierre Fontanillas, et al.. (2012). Efficiency and Power as a Function of Sequence Coverage, SNP Array Density, and Imputation. PLoS Computational Biology. 8(7). e1002604–e1002604. 21 indexed citations
19.
Srinivasan, Balaji S., Eric Evans, Jason Flannick, et al.. (2010). A universal carrier test for the long tail of Mendelian disease. Reproductive BioMedicine Online. 21(4). 537–551. 78 indexed citations
20.
Flannick, Jason, Antal Novak, Balaji S. Srinivasan, Harley H. McAdams, & Serafim Batzoglou. (2006). Græmlin: General and robust alignment of multiple large interaction networks. Genome Research. 16(9). 1169–1181. 208 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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