Mark Sharkey

3.5k citations
37 papers · 1.7k · h-index 17

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 22
    • HIV/AIDS drug development and treatment 8
    • HIV/AIDS Research and Interventions 6
    • SARS-CoV-2 detection and testing 5

Mark Sharkey

34 papers receiving 1.7k citations

Peers

Mark Sharkey
Comparison fields: 5 of 73
  • Virology 1.2k
  • Infectious Diseases 690
  • Immunology 495
  • Emergency Medicine 83
  • Epidemiology 313
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Citations per field
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Citations per year

Countries citing papers authored by Mark Sharkey

Since Specialization
Citations

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

Fields of papers citing papers by Mark Sharkey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997188
2 2008163
3 2005159
4 2000157
5 2008155
6 1998146
7 2015106
8 200591
9 200289
10 200283
11 201163
12 202045
13 200844
14 201531
15 199627
16 200321
17 202317
18 200116
19 202215
20 202012

About Mark Sharkey

Mark Sharkey is a scholar working on Virology, Infectious Diseases, Epidemiology, Immunology and Molecular Biology, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (22 papers), HIV/AIDS drug development and treatment (8 papers), HIV/AIDS Research and Interventions (6 papers), Immune Cell Function and Interaction (5 papers), SARS-CoV-2 detection and testing (5 papers), Biosensors and Analytical Detection (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Virology (1.2k citations), Infectious Diseases (690 citations), Immunology (495 citations), Emergency Medicine (83 citations) and Epidemiology (313 citations). Mark Sharkey has collaborated with scholars based in United States, Poland and Spain. Frequent co-authors include Mario Stevenson, Н. П. Шарова, Thomas E. Smithgall, Scott Briggs, Růžena Stránská, Katherine Luzuriaga, John L. Sullivan, Daniel R. Kuritzkes, Dunja Z. Babič and Karine Triques. Their work appears in journals such as Journal of Virology, Journal of Biomolecular Techniques JBT, JAIDS Journal of Acquired Immune Deficiency Syndromes, The Science of The Total Environment and Proceedings of the National Academy of Sciences.

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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