Dan E. Sturdevant

1.5k citations
18 papers · 956 · h-index 12

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Psoriasis: Treatment and Pathogenesis

Papers in

Dan E. Sturdevant

17 papers receiving 942 citations

Peers

Dan E. Sturdevant
Comparison fields: 5 of 83
  • Hepatology 262
  • Immunology 283
  • Endocrinology 48
  • Epidemiology 195
  • Virology 28
Replace Congwen Wei with:
Congwen Wei China
Marcello Merola Italy
Maud Michelet France
Simon H. Bridge United Kingdom
Marianna Hösel Germany
Annemarie Lekkerkerker United States
Kathy Keck United States
Souphalone Luangsay France
Kodjo Ayi Canada
John G. Chosay United States
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Citations per field
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Citations per year

Countries citing papers authored by Dan E. Sturdevant

Since Specialization
Citations

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

Fields of papers citing papers by Dan E. Sturdevant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan E. Sturdevant. 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 Dan E. Sturdevant. The network helps show where Dan E. Sturdevant may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2014157
2 2009144
3 2011124
4 2014118
5 201395
6 202188
7 200744
8 201041
9 201536
10 201632
11 201730
12 201418
13 201710
14 20088
15 20076
16 20234
17 20231
18 20190

About Dan E. Sturdevant

Dan E. Sturdevant is a scholar working on Immunology, Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 18 papers that have together received 956 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Hepatitis C virus research (3 papers), Hepatitis B Virus Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Mosquito-borne diseases and control (2 papers), Prion Diseases and Protein Misfolding (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Hepatology (262 citations), Immunology (283 citations), Endocrinology (48 citations), Epidemiology (195 citations) and Virology (28 citations). Dan E. Sturdevant has collaborated with scholars based in United States, Nigeria and United Kingdom. Frequent co-authors include Stephen F. Porcella, Kimmo Virtaneva, Henry Masur, Wanhu Tang, Eric G. Meissner, Søren Ulrik Sønder, John G. McHutchison, Sun Saret, Ulrich Siebenlist and Craig Martens. Their work appears in journals such as PLoS Pathogens, Journal of Virology, Journal of Bacteriology, Cellular Microbiology and The Journal of Infectious Diseases.

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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