James E. Monroe

632 citations
12 papers · 555 · h-index 11

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Poxvirus research and outbreaks
  • Epidemiology top 10%
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments
    • Respiratory viral infections research

Papers in

    • HIV Research and Treatment 4
    • Cytomegalovirus and herpesvirus research 3
    • Respiratory viral infections research 2
    • Herpesvirus Infections and Treatments 1

James E. Monroe

12 papers receiving 521 citations

Peers

James E. Monroe
Comparison fields: 5 of 35
  • Virology 111
  • Epidemiology 260
  • Oncology 90
  • Immunology 45
  • Infectious Diseases 30
Replace Tanja Fisch with:
Tanja Fisch Germany
Pilar Najarro United Kingdom
Michelle E. Brown United States
Peggy Farness United States
Elisa Saba Italy
Béatrice Labrosse France
Anne B. Kristensen Australia
Alexander Kotelkin United States
Paul A. van de Wiel Netherlands
Amy L. Ellis-Connell United States
James E. Monroe relative to Tanja Fisch Germany Tanja Fisch's profile →
Citations per field
00.5×2×3.5×
Tanja Fisch · 1×
Citations per year

Countries citing papers authored by James E. Monroe

Since Specialization
Citations

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

Fields of papers citing papers by James E. Monroe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. Monroe. 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 James E. Monroe. The network helps show where James E. Monroe may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2015113
2 201182
3 198477
4 201470
5 198846
6 200840
7 201237
8 201731
9 200824
10 198714
11 199612
12 19959

About James E. Monroe

James E. Monroe is a scholar working on Virology, Epidemiology, Oncology, Computational Theory and Mathematics and Immunology, having authored 12 papers that have together received 555 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Viral-associated cancers and disorders (2 papers), Respiratory viral infections research (2 papers), interferon and immune responses (1 paper), Computational Drug Discovery Methods (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Virology (111 citations), Epidemiology (260 citations), Oncology (90 citations), Immunology (45 citations) and Infectious Diseases (30 citations). James E. Monroe has collaborated with scholars based in United States, South Africa and Belgium. Frequent co-authors include Carel Mulder, Andrea Carfı́, Alain Calender, Sumana Chandramouli, Kara A. Balabanis, Peter G. Medveczky, John L. Sullivan, Stephen J. Forman, Giuseppe Palladino and Peter W. Mason. Their work appears in journals such as Nature Communications, Vaccine, AIDS Research and Human Retroviruses, Antiviral Research and Journal of Medicinal Chemistry.

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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