Mark Endsley

625 citations
20 papers · 464 · h-index 11

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Microbiology top 10%
    • Antimicrobial Peptides and Activities

Papers in

    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 2
    • interferon and immune responses 2
    • HIV/AIDS drug development and treatment 3
    • SARS-CoV-2 and COVID-19 Research 3
    • Tuberculosis Research and Epidemiology 3
    • COVID-19 Clinical Research Studies 3

Mark Endsley

17 papers receiving 458 citations

Peers

Mark Endsley
Comparison fields: 5 of 68
  • Virology 82
  • Microbiology 57
  • Immunology 159
  • Infectious Diseases 137
  • Drug Discovery 1
Replace Nicanor Obaldía with:
Nicanor Obaldía Panama
Agam Prasad Singh India
Pierre Daubersies France
Steven R. Fuhrmann United States
Lirong Shi United States
G. Subramanian United States
Louis J. Nkrumah United States
Zhenlong Liu China
P. Franken Netherlands
Mark Endsley relative to Nicanor Obaldía Panama Nicanor Obaldía's profile →
Citations per field
00.5×
Nicanor Obaldía · 1×
Citations per year

Countries citing papers authored by Mark Endsley

Since Specialization
Citations

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

Fields of papers citing papers by Mark Endsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200493
2 202185
3 201171
4 200551
5 201435
6 200931
7 201927
8 201919
9 201414
10 202014
11 202210
12 20216
13 20244
14 20241
15 20221
16 20221
17 20221
18 20250
19 20250
20 20260

About Mark Endsley

Mark Endsley is a scholar working on Immunology, Infectious Diseases, Virology, Epidemiology and Surgery, having authored 20 papers that have together received 464 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), HIV Research and Treatment (7 papers), HIV/AIDS drug development and treatment (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Tuberculosis Research and Epidemiology (3 papers), COVID-19 Clinical Research Studies (3 papers), T-cell and B-cell Immunology (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Virology (82 citations), Microbiology (57 citations), Immunology (159 citations), Infectious Diseases (137 citations) and Drug Discovery (1 citation). Mark Endsley has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Janice J. Endsley, D. Mark Estes, Monique R. Ferguson, James L. Murray, Guangyu Li, W. Ray Waters, Brian Friedrich, Mark A. McIntosh, David R. Lee and Natallia Dziuba. Their work appears in journals such as The Journal of Immunology, Retrovirology, npj Vaccines, Journal of Leukocyte Biology and Tropical Medicine and Infectious Disease.

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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