Eric A. Sigel

827 total citations
7 papers, 402 citations indexed

About

Eric A. Sigel is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Eric A. Sigel has authored 7 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Organic Chemistry. Recurrent topics in Eric A. Sigel's work include Chemical Synthesis and Analysis (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Cancer therapeutics and mechanisms (1 paper). Eric A. Sigel is often cited by papers focused on Chemical Synthesis and Analysis (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Cancer therapeutics and mechanisms (1 paper). Eric A. Sigel collaborates with scholars based in United States, Switzerland and India. Eric A. Sigel's co-authors include Matthew Clark, Anthony D. Keefe, John W. Cuozzo, Diana Gikunju, Sevan Habeshian, Marie-Aude Guié, Heather A. Thomson, Christoph E. Dumelin, Christopher D. Hupp and Spyros Artavanis‐Tsakonas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Cell Science.

In The Last Decade

Eric A. Sigel

7 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric A. Sigel United States	6	353	139	101	53	25	7	402
Cynthia Hess Kenny United States	10	270 0.8×	107 0.8×	51 0.5×	55 1.0×	20 0.8×	17	420
Víctor J. Somovilla Spain	11	350 1.0×	231 1.7×	124 1.2×	14 0.3×	20 0.8×	19	449
Gregory B. Craven United Kingdom	10	262 0.7×	195 1.4×	31 0.3×	39 0.7×	19 0.8×	17	397
Joseph Rebehmed France	12	287 0.8×	74 0.5×	28 0.3×	32 0.6×	80 3.2×	23	402
László Petri Hungary	11	286 0.8×	231 1.7×	33 0.3×	104 2.0×	23 0.9×	25	408
Rong‐Sheng Yang United States	7	221 0.6×	36 0.3×	27 0.3×	32 0.6×	13 0.5×	19	277
Juan Pablo Arcon Argentina	10	329 0.9×	39 0.3×	23 0.2×	106 2.0×	52 2.1×	15	407
Fandi Sutanto Netherlands	6	204 0.6×	163 1.2×	23 0.2×	69 1.3×	21 0.8×	9	343
Kaname Kimura Japan	10	195 0.6×	99 0.7×	49 0.5×	33 0.6×	55 2.2×	15	364
Nicholas Simmons United States	17	462 1.3×	410 2.9×	90 0.9×	15 0.3×	15 0.6×	24	691

Countries citing papers authored by Eric A. Sigel

Since Specialization

Citations

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

Fields of papers citing papers by Eric A. Sigel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric A. Sigel. 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 Eric A. Sigel. The network helps show where Eric A. Sigel may publish in the future.

Co-authorship network of co-authors of Eric A. Sigel

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

All Works

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7 of 7 papers shown

Iqbal, Sumaiya, Wei Jiang, Eric R. Hansen, et al.. (2025). Evaluation of DNA encoded library and machine learning model combinations for hit discovery. 2(1). 2 indexed citations

McCloskey, Kevin, Eric A. Sigel, Steven Kearnes, et al.. (2020). Machine Learning on DNA-Encoded Libraries: A New Paradigm for Hit Finding. Journal of Medicinal Chemistry. 63(16). 8857–8866. 85 indexed citations

Cuozzo, John W., Matthew Clark, Anthony D. Keefe, et al.. (2020). Novel Autotaxin Inhibitor for the Treatment of Idiopathic Pulmonary Fibrosis: A Clinical Candidate Discovered Using DNA-Encoded Chemistry. Journal of Medicinal Chemistry. 63(14). 7840–7856. 79 indexed citations

Cuozzo, John W., Diana Gikunju, Sevan Habeshian, et al.. (2017). Discovery of a Potent BTK Inhibitor with a Novel Binding Mode by Using Parallel Selections with a DNA‐Encoded Chemical Library. ChemBioChem. 18(9). 864–871. 51 indexed citations

Soutter, Holly H., Matthew Clark, John W. Cuozzo, et al.. (2016). Discovery of cofactor-specific, bactericidal Mycobacterium tuberculosis InhA inhibitors using DNA-encoded library technology. Proceedings of the National Academy of Sciences. 113(49). E7880–E7889. 46 indexed citations

Litovchick, Alexander, Christoph E. Dumelin, Sevan Habeshian, et al.. (2015). Encoded Library Synthesis Using Chemical Ligation and the Discovery of sEH Inhibitors from a 334-Million Member Library. Scientific Reports. 5(1). 10916–10916. 87 indexed citations

Frankel, Stewart, Eric A. Sigel, Carolyn A. Craig, et al.. (1997). An actin-related protein in Drosophila colocalizes with heterochromatin protein 1 in pericentric heterochromatin. Journal of Cell Science. 110(17). 1999–2012. 52 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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