Stephen L. Mathias

3.6k total citations · 1 hit paper
20 papers, 1.8k citations indexed

About

Stephen L. Mathias is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Stephen L. Mathias has authored 20 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Genetics. Recurrent topics in Stephen L. Mathias's work include Computational Drug Discovery Methods (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Chromosomal and Genetic Variations (4 papers). Stephen L. Mathias is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Chromosomal and Genetic Variations (4 papers). Stephen L. Mathias collaborates with scholars based in United States, Denmark and Sweden. Stephen L. Mathias's co-authors include Alan F. Scott, Haig H. Kazazian, Jef D. Boeke, Abram Gabriel, Beth A. Dombroski, Elizabeth Nanthakumar, Tudor I. Oprea, Jeremy J. Yang, Cristian Bologa and Oleg Ursu and has published in prestigious journals such as Science, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Stephen L. Mathias

20 papers receiving 1.8k citations

Hit Papers

Reverse Transcriptase Encoded by a Human Transposable Ele... 1991 2026 2002 2014 1991 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
Stephen L. Mathias United States 14 1.5k 902 348 219 114 20 1.8k
Xiaotian Zhang China 20 1.6k 1.1× 374 0.4× 365 1.0× 169 0.8× 92 0.8× 46 2.3k
Scott W Doniger United States 10 1.1k 0.8× 128 0.1× 125 0.4× 306 1.4× 94 0.8× 11 1.6k
Ann E. Cleves United States 19 1.7k 1.2× 175 0.2× 368 1.1× 58 0.3× 134 1.2× 37 2.2k
Andrew A. Carmen United States 10 1.8k 1.2× 353 0.4× 36 0.1× 119 0.5× 40 0.4× 15 1.9k
Michael Kohl Germany 12 1.1k 0.7× 192 0.2× 65 0.2× 87 0.4× 112 1.0× 26 1.6k
Robert Petryszak United Kingdom 9 973 0.7× 103 0.1× 136 0.4× 133 0.6× 85 0.7× 11 1.3k
Huiyun Liu China 20 1.5k 1.0× 359 0.4× 48 0.1× 320 1.5× 144 1.3× 44 2.0k
Lara O’Donnell Canada 6 2.5k 1.7× 119 0.1× 381 1.1× 254 1.2× 147 1.3× 7 2.9k
Thuy D. Vo United States 13 2.8k 1.9× 94 0.1× 128 0.4× 290 1.3× 44 0.4× 18 3.1k
Uma Mudunuri United States 14 755 0.5× 116 0.1× 75 0.2× 137 0.6× 57 0.5× 24 1.1k

Countries citing papers authored by Stephen L. Mathias

Since Specialization
Citations

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

Fields of papers citing papers by Stephen L. Mathias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen L. Mathias

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen L. Mathias. A scholar is included among the top collaborators of Stephen L. Mathias 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 Stephen L. Mathias. Stephen L. Mathias 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.
Metzger, Vincent T., Daniel C. Cannon, Jeremy J. Yang, et al.. (2024). TIN-X version 3: update with expanded dataset and modernized architecture for enhanced illumination of understudied targets. PeerJ. 12. e17470–e17470. 1 indexed citations
2.
Oprea, Tudor I., Cristian Bologa, Jayme Holmes, et al.. (2024). Overview of the Knowledge Management Center for Illuminating the Druggable Genome. Drug Discovery Today. 29(3). 103882–103882. 5 indexed citations
3.
Kelleher, Keith J., Timothy Sheils, Stephen L. Mathias, et al.. (2022). Pharos 2023: an integrated resource for the understudied human proteome. Nucleic Acids Research. 51(D1). D1405–D1416. 50 indexed citations
4.
Yang, Jeremy J., Christophe G Lambert, Cristian Bologa, et al.. (2021). TIGA: target illumination GWAS analytics. Bioinformatics. 37(21). 3865–3873. 8 indexed citations
5.
Sheils, Timothy, Stephen L. Mathias, Keith J. Kelleher, et al.. (2020). TCRD and Pharos 2021: mining the human proteome for disease biology. Nucleic Acids Research. 49(D1). D1334–D1346. 90 indexed citations
6.
Sheils, Timothy, Stephen L. Mathias, Vishal B. Siramshetty, et al.. (2020). How to Illuminate the Druggable Genome Using Pharos. Current Protocols in Bioinformatics. 69(1). e92–e92. 25 indexed citations
7.
Ursu, Oleg, Jayme Holmes, Cristian Bologa, et al.. (2018). DrugCentral 2018: an update. Nucleic Acids Research. 47(D1). D963–D970. 98 indexed citations
8.
Mani, Subramani, Daniel C. Cannon, Robin K. Ohls, et al.. (2017). Protein biomarker druggability profiling. Journal of Biomedical Informatics. 66. 241–247. 2 indexed citations
9.
Nelson, Stuart J., Tudor I. Oprea, Oleg Ursu, et al.. (2017). Formalizing drug indications on the road to therapeutic intent. Journal of the American Medical Informatics Association. 24(6). 1169–1172. 6 indexed citations
10.
Cannon, Daniel C., Jeremy J. Yang, Stephen L. Mathias, et al.. (2017). TIN-X: target importance and novelty explorer. Bioinformatics. 33(16). 2601–2603. 22 indexed citations
11.
Ursu, Oleg, Jayme Holmes, Jeffrey Knockel, et al.. (2016). DrugCentral: online drug compendium. Nucleic Acids Research. 45(D1). D932–D939. 202 indexed citations
12.
Mathias, Stephen L., et al.. (2013). The CARLSBAD Database: A Confederated Database of Chemical Bioactivities. Database. 2013. 21 indexed citations
13.
Oprea, Tudor I., Oleg Ursu, Jeremy J. Yang, et al.. (2011). Associating Drugs, Targets and Clinical Outcomes into an Integrated Network Affords a New Platform for Computer‐Aided Drug Repurposing. Molecular Informatics. 30(2-3). 100–111. 85 indexed citations
14.
Mathias, Stephen L.. (1999). New genes? Possibly, MABy.... Trends in Genetics. 15(1). 13–13. 1 indexed citations
15.
Dombroski, Beth A., Qinghua Feng, Stephen L. Mathias, et al.. (1994). An In Vivo Assay for the Reverse Transcriptase of Human Retrotransposon L1 in Saccharomyces cerevisiae. Molecular and Cellular Biology. 14(7). 4485–4492. 33 indexed citations
16.
Dombroski, Beth A., Qinghua Feng, Stephen L. Mathias, et al.. (1994). An in vivo assay for the reverse transcriptase of human retrotransposon L1 in Saccharomyces cerevisiae.. Molecular and Cellular Biology. 14(7). 4485–4492. 80 indexed citations
17.
Mathias, Stephen L. & Alan F. Scott. (1993). Promoter Binding Proteins of an Active Human L1 Retrotransposon. Biochemical and Biophysical Research Communications. 191(2). 625–632. 16 indexed citations
18.
Mathias, Stephen L., Alan F. Scott, Haig H. Kazazian, Jef D. Boeke, & Abram Gabriel. (1991). Reverse Transcriptase Encoded by a Human Transposable Element. Science. 254(5039). 1808–1810. 626 indexed citations breakdown →
19.
Dombroski, Beth A., Stephen L. Mathias, Elizabeth Nanthakumar, Alan F. Scott, & Haig H. Kazazian. (1991). Isolation of an Active Human Transposable Element. Science. 254(5039). 1805–1808. 366 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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