Mark A. Beilke

1.1k citations
35 papers · 743 · h-index 17

Impact in

Papers in

Mark A. Beilke

35 papers receiving 726 citations

Peers

Mark A. Beilke
Comparison fields: 5 of 87
  • Agronomy and Crop Science 307
  • Immunology 480
  • Virology 48
  • Ecology, Evolution, Behavior and Systematics 208
  • Microbiology 33
Replace Chris M. Olson with:
Chris M. Olson United States
Marija Brcic Switzerland
Oğuz Kul Türkiye
E. Weiss Germany
Roth Ja United States
Abdolamir Landi Canada
Amy Boyd United Kingdom
Monali Manohar United States
Anja Schröder Germany
Henson Jb
Mark A. Beilke relative to Chris M. Olson United States Chris M. Olson's profile →
Citations per field
00.5×7.0×
Chris M. Olson · 1×
Citations per year

Countries citing papers authored by Mark A. Beilke

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Beilke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Beilke. 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 Mark A. Beilke. The network helps show where Mark A. Beilke may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200492
2
Effects of dimethyl sulfoxide on the oxidative function of human neutrophils.
198774
3 198973
4 201159
5 199933
6 199833
7 199233
8 200532
9 201328
10 199427
11 200527
12 199725
13 200725
14 201124
15 199120
16 199616
17 200016
18 201513
19 201311
20 199211

About Mark A. Beilke

Mark A. Beilke is a scholar working on Immunology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 35 papers that have together received 743 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (24 papers), Animal Disease Management and Epidemiology (19 papers), Vector-Borne Animal Diseases (12 papers), Viral Infections and Immunology Research (5 papers), Antifungal resistance and susceptibility (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), HIV Research and Treatment (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Agronomy and Crop Science (307 citations), Immunology (480 citations), Virology (48 citations), Ecology, Evolution, Behavior and Systematics (208 citations) and Microbiology (33 citations). Mark A. Beilke has collaborated with scholars based in United States, Netherlands and Türkiye. Frequent co-authors include Cathleen Collins-Lech, P G Sohnle, Patricia Kissinger, Katherine P. Theall, Joshua L. Clayton, Christy S. Barrios, Sheryl Martin‐Schild, Chou‐Zen Giam, Clarence J. Gibbs and Vicki Traina‐Dorge. Their work appears in journals such as Clinical Infectious Diseases, Journal of Medical Virology, Retrovirology, AIDS Research and Human Retroviruses and Journal of Neuroimmunology.

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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