Timothy Poterba

25.2k total citations
4 papers, 19 citations indexed

About

Timothy Poterba is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Timothy Poterba has authored 4 papers receiving a total of 19 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Cancer Research. Recurrent topics in Timothy Poterba's work include Genomics and Rare Diseases (2 papers), Genetic Associations and Epidemiology (2 papers) and Genomics and Phylogenetic Studies (2 papers). Timothy Poterba is often cited by papers focused on Genomics and Rare Diseases (2 papers), Genetic Associations and Epidemiology (2 papers) and Genomics and Phylogenetic Studies (2 papers). Timothy Poterba collaborates with scholars based in United States, Finland and Italy. Timothy Poterba's co-authors include Laura D. Gauthier, Daniel King, Mark J. Daly, Mehrtash Babadi, Andrey N. Smirnov, Benjamin M. Neale, Samuel K. Lee, Lee Lichtenstein, Daniel P. Howrigan and Konrad J. Karczewski and has published in prestigious journals such as Bioinformatics, Cancer Research and The American Journal of Human Genetics.

In The Last Decade

Timothy Poterba

4 papers receiving 19 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy Poterba United States 3 12 7 5 5 2 4 19
Allison Faber Brazil 2 13 1.1× 6 0.9× 5 1.0× 3 0.6× 1 0.5× 3 19
Rami Mehio United States 2 11 0.9× 12 1.7× 2 0.4× 7 1.4× 2 1.0× 2 20
Severine Catreux United States 2 11 0.9× 12 1.7× 2 0.4× 7 1.4× 2 1.0× 2 20
Chang Bum Hong South Korea 2 9 0.8× 7 1.0× 5 1.0× 2 0.4× 2 14
Arveen Kamath United Kingdom 3 22 1.8× 18 2.6× 5 1.0× 4 0.8× 4 33
Caleb Choo Canada 2 8 0.7× 11 1.6× 2 0.4× 8 1.6× 1 0.5× 2 19
Jordi Corominas Galbany Netherlands 2 20 1.7× 11 1.6× 2 0.4× 6 1.2× 5 2.5× 5 33
Catherine S. Novak United States 3 8 0.7× 23 3.3× 4 0.8× 3 0.6× 4 29
Sophie Seidel Switzerland 3 7 0.6× 18 2.6× 3 0.6× 3 0.6× 5 20
Elysa Marco United States 2 25 2.1× 13 1.9× 7 1.4× 2 0.4× 2 32

Countries citing papers authored by Timothy Poterba

Since Specialization
Citations

This map shows the geographic impact of Timothy Poterba'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 Timothy Poterba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy Poterba more than expected).

Fields of papers citing papers by Timothy Poterba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy Poterba. 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 Timothy Poterba. The network helps show where Timothy Poterba may publish in the future.

Co-authorship network of co-authors of Timothy Poterba

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy Poterba. A scholar is included among the top collaborators of Timothy Poterba 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 Timothy Poterba. Timothy Poterba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Poterba, Timothy, Christopher Vittal, Daniel King, et al.. (2024). The scalable variant call representation: enabling genetic analysis beyond one million genomes. Bioinformatics. 41(1). 1 indexed citations
2.
Lu, Wenhan, Laura D. Gauthier, Timothy Poterba, et al.. (2023). CHARR efficiently estimates contamination from DNA sequencing data. The American Journal of Human Genetics. 110(12). 2068–2076. 4 indexed citations
3.
Venkataraman, Guhan, Christopher DeBoever, Yosuke Tanigawa, et al.. (2021). Bayesian model comparison for rare-variant association studies. The American Journal of Human Genetics. 108(12). 2354–2367. 5 indexed citations
4.
Babadi, Mehrtash, Samuel K. Lee, Andrey N. Smirnov, et al.. (2018). Abstract 2287: Precise common and rare germline CNV calling with GATK. Cancer Research. 78(13_Supplement). 2287–2287. 9 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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Breakdown of academic impact, for papers by Allison Faber Breakdown of academic impact, for papers by Rami Mehio Breakdown of academic impact, for papers by Severine Catreux Breakdown of academic impact, for papers by Chang Bum Hong Breakdown of academic impact, for papers by Arveen Kamath Breakdown of academic impact, for papers by Caleb Choo Breakdown of academic impact, for papers by Jordi Corominas Galbany Breakdown of academic impact, for papers by Catherine S. Novak Breakdown of academic impact, for papers by Sophie Seidel Breakdown of academic impact, for papers by Elysa Marco
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