Scott Wadsworth

1.6k citations
30 papers · 1.3k indexed · h-index 20

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Virology top 10%

Papers in

    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 5

Scott Wadsworth

30 papers receiving 1.2k citations

Peers

Scott Wadsworth
Comparison fields: 5 of 96
  • Immunology 435
  • Virology 61
  • Cancer Research 186
  • Organic Chemistry 331
  • Oncology 226
Replace Alexander Golks with:
Alexander Golks Germany
Li‐Fan Zeng United States
Shankar Venkatraman United States
Charles E. Whitehurst United States
David Segal Australia
Julia M. Ayala United States
Gabriella Miklóssy United States
Eduardo Parra Chile
Eric N. Shiozaki United States
Sarkiz Daniel-Issakani United States
Scott Wadsworth relative to Alexander Golks Germany Alexander Golks's profile →
Citations per field
00.5×4.1×
Alexander Golks · 1×
Citations per year

Countries citing papers authored by Scott Wadsworth

Since Specialization
Citations

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

Fields of papers citing papers by Scott Wadsworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201329
2 201212
3 20085
4 20087
5 200714
6 200723
7 200615
8 200435
9 200434
10 2003233
11 200224
12 200150
13 200124
14 1999133
15 199965
16 199954
17 199834
18 199026
19 19888
20 198831

About Scott Wadsworth

Scott Wadsworth is a scholar working on Immunology, Virology, Oncology, Toxicology and Cancer Research, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (11 papers), T-cell and B-cell Immunology (7 papers), Cytokine Signaling Pathways and Interactions (7 papers), Immune Cell Function and Interaction (5 papers), Synthesis and biological activity (4 papers), Intestinal and Peritoneal Adhesions (3 papers), Retinoids in leukemia and cellular processes (3 papers) and Surgical Sutures and Adhesives (3 papers). The work is most often cited by research in Immunology (435 citations), Virology (61 citations), Cancer Research (186 citations), Organic Chemistry (331 citations) and Oncology (226 citations). Scott Wadsworth has collaborated with scholars based in United States and Norway. Frequent co-authors include John J. Siekierka, Peter Schäfer, Druie Cavender, Gilbert C. Olini, Janet E. Davis, James R. Henry, John H. Dodd, Kenneth C. Rupert, Liwen Wang and Crafford A. Harris. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Immunological Reviews, The Journal of Immunology, Journal of Agricultural and Food Chemistry and Journal of Pharmacology and Experimental Therapeutics.

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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