Paul L. Auer

24.2k total citations · 1 hit paper
42 papers, 1.4k citations indexed

About

Paul L. Auer is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Paul L. Auer has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 13 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Paul L. Auer's work include Genetic Associations and Epidemiology (19 papers), Genomics and Rare Diseases (5 papers) and Gene expression and cancer classification (5 papers). Paul L. Auer is often cited by papers focused on Genetic Associations and Epidemiology (19 papers), Genomics and Rare Diseases (5 papers) and Gene expression and cancer classification (5 papers). Paul L. Auer collaborates with scholars based in United States, Canada and France. Paul L. Auer's co-authors include R. W. Doerge, Guillaume Lettre, Alex P. Reiner, Anne C. Roulin, Marc Libault, Jessica A. Schlueter, Andrew Farmer, Scott A. Jackson, Greg May and Gary Stacey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Paul L. Auer

41 papers receiving 1.4k citations

Hit Papers

Principles and methods for transferring polygenic risk sc... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul L. Auer United States 17 716 466 288 184 76 42 1.4k
Weihua Chang China 14 680 0.9× 698 1.5× 237 0.8× 223 1.2× 61 0.8× 26 1.4k
Hanxin Lin Canada 19 558 0.8× 300 0.6× 145 0.5× 192 1.0× 63 0.8× 39 1.3k
Marcia M. Nizzari United States 4 676 0.9× 804 1.7× 112 0.4× 160 0.9× 103 1.4× 4 1.5k
Lucía Conde United States 20 1.2k 1.7× 390 0.8× 199 0.7× 226 1.2× 85 1.1× 48 2.0k
Aaron Isaacs Netherlands 13 505 0.7× 936 2.0× 188 0.7× 181 1.0× 102 1.3× 16 1.8k
Shilin Zhao United States 20 788 1.1× 265 0.6× 119 0.4× 387 2.1× 101 1.3× 36 1.4k
J. Saadi Imam United States 12 1.4k 1.9× 204 0.4× 133 0.5× 332 1.8× 70 0.9× 15 1.9k
Geoffrey B. Nilsen United States 5 694 1.0× 982 2.1× 137 0.5× 142 0.8× 54 0.7× 5 1.5k
Jun Zhu China 21 783 1.1× 460 1.0× 274 1.0× 340 1.8× 76 1.0× 183 1.9k
Paolo Enrico Maltese Italy 18 679 0.9× 238 0.5× 114 0.4× 151 0.8× 50 0.7× 92 1.7k

Countries citing papers authored by Paul L. Auer

Since Specialization
Citations

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

Fields of papers citing papers by Paul L. Auer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul L. Auer. 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 Paul L. Auer. The network helps show where Paul L. Auer may publish in the future.

Co-authorship network of co-authors of Paul L. Auer

This figure shows the co-authorship network connecting the top 25 collaborators of Paul L. Auer. A scholar is included among the top collaborators of Paul L. Auer 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 Paul L. Auer. Paul L. Auer 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
2.
Sun, Quan, Jiawen Chen, Anna V. Mikhaylova, et al.. (2024). Improving polygenic risk prediction in admixed populations by explicitly modeling ancestral-differential effects via GAUDI. Nature Communications. 15(1). 1016–1016. 17 indexed citations
3.
Sun, Quan, Tyne W. Miller‐Fleming, Nancy J. Cox, et al.. (2023). Genetic examination of hematological parameters in SARS-CoV-2 infection and COVID-19. Blood Cells Molecules and Diseases. 103. 102782–102782. 1 indexed citations
4.
Kachuri, Linda, Nilanjan Chatterjee, Jibril Hirbo, et al.. (2023). Principles and methods for transferring polygenic risk scores across global populations. Nature Reviews Genetics. 25(1). 8–25. 103 indexed citations breakdown →
5.
Auer, Paul L., Gao Wang, Guangyou Li, Andrew T. DeWan, & Suzanne M. Leal. (2023). Comparison of multiple imputation and other methods for the analysis of imputed genotypes. BMC Genomics. 24(1). 303–303. 2 indexed citations
6.
Auer, Paul L., et al.. (2023). On asymptotic distributions of several test statistics for familial relatedness in linear mixed models. Statistics in Medicine. 42(17). 2962–2981. 1 indexed citations
7.
Woo, Jennifer M. P., Christine G. Parks, Paul L. Auer, et al.. (2022). Early life trauma and adult leucocyte telomere length. Psychoneuroendocrinology. 144. 105876–105876. 6 indexed citations
8.
Eastwood, Daniel C., et al.. (2022). Contemporary evaluation of estrogen receptor and progesterone receptor expression in breast cancer-associated stroma. Breast Cancer Research and Treatment. 196(3). 453–461. 1 indexed citations
9.
Stanislawski, Maggie A., Leslie A. Lange, Laura M. Raffield, et al.. (2021). Soluble CD14 Levels in the Jackson Heart Study: Associations With Cardiovascular Disease Risk and Genetic Variants. Arteriosclerosis Thrombosis and Vascular Biology. 41(6). e369–e378. 7 indexed citations
10.
Olson, Nels C., Laura M. Raffield, Tyne W. Miller‐Fleming, et al.. (2021). Soluble Urokinase Plasminogen Activator Receptor: Genetic Variation and Cardiovascular Disease Risk in Black Adults. Circulation Genomic and Precision Medicine. 14(6). e003421–e003421. 9 indexed citations
11.
Raffield, Laura M., Ake T. Lu, Mindy D Szeto, et al.. (2020). Coagulation factor VIII: Relationship to cardiovascular disease risk and whole genome sequence and epigenome‐wide analysis in African Americans. Journal of Thrombosis and Haemostasis. 18(6). 1335–1347. 14 indexed citations
12.
Zakai, Neil A., Paul L. Auer, Mary Cushman, et al.. (2020). Interferon gamma-induced protein 10 (IP-10) and cardiovascular disease in African Americans. PLoS ONE. 15(4). e0231013–e0231013. 16 indexed citations
13.
Rau, Andréa, Michael J. Flister, Hallgeir Rui, & Paul L. Auer. (2018). Exploring drivers of gene expression in the Cancer Genome Atlas. Bioinformatics. 35(1). 62–68. 22 indexed citations
14.
Mousas, Abdou, Georgios Ntritsos, Ming‐Huei Chen, et al.. (2017). Rare coding variants pinpoint genes that control human hematological traits. PLoS Genetics. 13(8). e1006925–e1006925. 25 indexed citations
15.
Laestadius, Linnea, et al.. (2016). All your data (effectively) belong to us: data practices among direct-to-consumer genetic testing firms. Genetics in Medicine. 19(5). 513–520. 53 indexed citations
16.
Auer, Paul L. & Guillaume Lettre. (2015). Rare variant association studies: considerations, challenges and opportunities. Genome Medicine. 7(1). 145 indexed citations
17.
Johnsen, Jill M., Paul L. Auer, Alanna C. Morrison, et al.. (2013). Common and rare von Willebrand factor (VWF) coding variants, VWF levels, and factor VIII levels in African Americans: the NHLBI Exome Sequencing Project. Blood. 122(4). 590–597. 50 indexed citations
18.
Reiner, Alex P., Sandra Beleza, Nora Franceschini, et al.. (2012). Genome-wide Association and Population Genetic Analysis of C-Reactive Protein in African American and Hispanic American Women. The American Journal of Human Genetics. 91(3). 502–512. 82 indexed citations
19.
Auer, Paul L. & R. W. Doerge. (2011). A Two-Stage Poisson Model for Testing RNA-Seq Data. Statistical Applications in Genetics and Molecular Biology. 10(1). 92 indexed citations
20.
Auer, Paul L. & R. W. Doerge. (2010). Statistical Design and Analysis of RNA Sequencing Data. Genetics. 185(2). 405–416. 281 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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