Mark Anderson

447 citations
29 papers · 239 · h-index 8

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing

Papers in

    • SARS-CoV-2 and COVID-19 Research 13
    • COVID-19 Clinical Research Studies 9
    • SARS-CoV-2 detection and testing 7
    • Hepatitis B Virus Studies 11
    • Liver Disease Diagnosis and Treatment 8

Mark Anderson

26 papers receiving 230 citations

Peers

Mark Anderson
Comparison fields: 5 of 30
  • Hepatology 123
  • Infectious Diseases 96
  • Modeling and Simulation 21
  • Epidemiology 152
  • Health 14
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Citations per field
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Samir Dervisevic · 1×
Citations per year

Countries citing papers authored by Mark Anderson

Since Specialization
Citations

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

Fields of papers citing papers by Mark Anderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202062
2 202132
3 202121
4 202115
5 202214
6 202012
7 202212
8 202110
9 20237
10 20147
11 20227
12 20216
13 20236
14 20225
15 20234
16 20224
17 20223
18 20232
19 20222
20 20212

About Mark Anderson

Mark Anderson is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Surgery and Modeling and Simulation, having authored 29 papers that have together received 239 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (13 papers), Hepatitis B Virus Studies (11 papers), Hepatitis C virus research (11 papers), COVID-19 Clinical Research Studies (9 papers), Liver Disease Diagnosis and Treatment (8 papers), SARS-CoV-2 detection and testing (7 papers), COVID-19 epidemiological studies (3 papers) and Heparin-Induced Thrombocytopenia and Thrombosis (3 papers). The work is most often cited by research in Hepatology (123 citations), Infectious Diseases (96 citations), Modeling and Simulation (21 citations), Epidemiology (152 citations) and Health (14 citations). Mark Anderson has collaborated with scholars based in United States, Cameroon and Germany. Frequent co-authors include Gavin Cloherty, Vera Holzmayer, Mary C. Kuhns, James N. Moy, Alan Landay, Valentin Cebotarescu, Lilia Cojuhari, Ulf Dittmer, Andrew Vaillant and Victor Pântea. Their work appears in journals such as Hepatology Communications, The Journal of Infectious Diseases, Journal of Clinical Virology, Viruses and Journal of Nephrology.

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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