Steven Watterson

3.0k citations
32 papers · 907 · h-index 13

Impact in

    • Acne and Rosacea Treatments and Effects
    • Dermatology and Skin Diseases
    • interferon and immune responses

Papers in

    • Bioinformatics and Genomic Networks 6
    • Gene Regulatory Network Analysis 5
    • Microbial Metabolic Engineering and Bioproduction 4
    • Cholesterol and Lipid Metabolism 4

Steven Watterson

29 papers receiving 890 citations

Peers

Steven Watterson
Comparison fields: 5 of 112
  • Dermatology 103
  • Immunology 167
  • Surgery 222
  • Cancer Research 61
  • Molecular Biology 281
Replace You-kyung Choi with:
You-kyung Choi United States
Paul W. Tebbey United States
Yue Luo China
Wolf‐Dieter Lehmann Germany
David W. A. Beno United States
Chunlan Feng China
Yawen Wang China
Toshikazu Hada Japan
Rui Benfeitas Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Steven Watterson

Since Specialization
Citations

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

Fields of papers citing papers by Steven Watterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Steven Watterson, 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 Steven Watterson Line = papers co-authored together Steven Watterson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011233
2 2019152
3 2016114
4 201366
5 202142
6 200839
7 202037
8 201528
9 201728
10 201027
11 201226
12 202015
13 201814
14 202212
15 202112
16 201012
17 201711
18 20216
19 20175
20 20234

About Steven Watterson

Steven Watterson is a scholar working on Molecular Biology, Surgery, Epidemiology, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine, having authored 32 papers that have together received 907 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Gene Regulatory Network Analysis (5 papers), Cholesterol and Lipid Metabolism (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Streptococcal Infections and Treatments (3 papers), Computational Drug Discovery Methods (3 papers), Infective Endocarditis Diagnosis and Management (3 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Dermatology (103 citations), Immunology (167 citations), Surgery (222 citations), Cancer Research (61 citations) and Molecular Biology (281 citations). Steven Watterson has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Peter Ghazal, Victoria McGilligan, Anthony J. Bjourson, Maurice O’Kane, Raymond Henderson, Andrew McDowell, Joseph McLaughlin, Emma Barnard, Alison Layton and Kevin A. Robertson. Their work appears in journals such as Bioinformatics, Biochemical Pharmacology, Biomolecules, British Journal of Pharmacology and Clinical and Experimental Rheumatology.

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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