Stephen M. Soisson

4.3k citations
50 papers · 3.6k · h-index 30

Impact in

Papers in

    • Receptor Mechanisms and Signaling 9
    • RNA and protein synthesis mechanisms 5
    • Protein Kinase Regulation and GTPase Signaling 4
    • Cancer therapeutics and mechanisms 4
    • Antibiotic Resistance in Bacteria 5

Stephen M. Soisson

50 papers receiving 3.5k citations

Peers

Stephen M. Soisson
Comparison fields: 5 of 122
  • Molecular Medicine 344
  • Pharmacology 645
  • Molecular Biology 2.1k
  • Toxicology 101
  • Organic Chemistry 681
Replace Seungil Han with:
Seungil Han United States
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Karen L. Leach United States
Kevin J. Lumb United States
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Glenn E. Dale Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Stephen M. Soisson

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Soisson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen M. Soisson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen M. Soisson Line = papers co-authored together Stephen M. Soisson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006722
2 2004256
3 2012222
4 1998192
5 1997186
6 2017180
7 2017163
8 2014126
9 2019123
10 2012119
11 201588
12 200881
13 202177
14 200477
15 201776
16 201971
17 201469
18 199757
19 201154
20 201654

About Stephen M. Soisson

Stephen M. Soisson is a scholar working on Molecular Biology, Molecular Medicine, Pharmacology, Oncology and Cellular and Molecular Neuroscience, having authored 50 papers that have together received 3.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Enzyme Structure and Function (7 papers), Microbial Natural Products and Biosynthesis (5 papers), RNA and protein synthesis mechanisms (5 papers), Antibiotic Resistance in Bacteria (5 papers), Bacterial Genetics and Biotechnology (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Cancer therapeutics and mechanisms (4 papers). The work is most often cited by research in Molecular Medicine (344 citations), Pharmacology (645 citations), Molecular Biology (2.1k citations), Toxicology (101 citations) and Organic Chemistry (681 citations). Stephen M. Soisson has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Dafna Bar‐Sagi, John Kuriyan, Cynthia Wolberger, Robert Schleif, Holger Sondermann, Kevin J. Lumb, Shaosong Yang, Anjaruwee S. Nimnual, Jun Lu and John C. Reid. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Nature Communications, Journal of Medicinal Chemistry, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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