Dan E. Sturdevant

1.5k citations
18 papers · 910 · h-index 12

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
    • Immune Response and Inflammation 2
    • Liver Disease Diagnosis and Treatment 3
    • Hepatitis B Virus Studies 2

Dan E. Sturdevant

17 papers receiving 903 citations

Peers

Dan E. Sturdevant
Comparison fields: 5 of 84
  • Hepatology 287
  • Immunology 299
  • Endocrinology 50
  • Epidemiology 280
  • Virology 34
Replace Marcello Merola with:
Marcello Merola Italy
Congwen Wei China
Tobias Mueller Germany
Stephan Weber Germany
Annemarie Lekkerkerker United States
Marianna Hösel Germany
Malika Ait‐Goughoulte France
Yinghui Shi China
Frantisek Sandor Slovakia
Claudia Zannetti France
Dan E. Sturdevant relative to Marcello Merola Italy Marcello Merola's profile →
Citations per field
00.5×
Marcello Merola · 1×
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 2014155
2 2009141
3 2011119
4 2014118
5 201391
6 202183
7 201534
8 200733
9 201631
10 201030
11 201729
12 201418
13 20179
14 20088
15 20076
16 20234
17 20231
18 20190

About Dan E. Sturdevant

Dan E. Sturdevant is a scholar working on Immunology, Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 18 papers that have together received 910 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Hepatitis C virus research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Mosquito-borne diseases and control (2 papers), Cell Adhesion Molecules Research (2 papers), Hepatitis B Virus Studies (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Hepatology (287 citations), Immunology (299 citations), Endocrinology (50 citations), Epidemiology (280 citations) and Virology (34 citations). Dan E. Sturdevant has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Stephen F. Porcella, Kimmo Virtaneva, Henry Masur, Eric G. Meissner, John G. McHutchison, Wanhu Tang, Sun Saret, Ulrich Siebenlist, Søren Ulrik Sønder and Craig Martens. Their work appears in journals such as PLoS Pathogens, Scientific Reports, Journal of Bacteriology, Journal of Proteome Research and Science Advances.

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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