Marjon Navis

1.7k citations
27 papers · 1.3k · h-index 19

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • HIV Research and Treatment 20
    • Immune Cell Function and Interaction 13
    • T-cell and B-cell Immunology 9

Marjon Navis

27 papers receiving 1.3k citations

Peers

Marjon Navis
Comparison fields: 5 of 72
  • Virology 607
  • Immunology 769
  • Infectious Diseases 182
  • Epidemiology 309
  • Oncology 228
Replace Kasinath Viswanathan with:
Kasinath Viswanathan United States
Marina Vaysburd United Kingdom
S Gartner United States
Diana L. Wallace United Kingdom
Ruth Rollason United Kingdom
Shaheen S. Sutterwala United States
Olivier Pleskoff France
Clarisa M. Buckner United States
Patricia J. Vance United States
María Rosa López‐Huertas Spain
Marjon Navis relative to Kasinath Viswanathan United States Kasinath Viswanathan's profile →
Citations per field
00.5×1.5×2.3×
Kasinath Viswanathan · 1×
Citations per year

Countries citing papers authored by Marjon Navis

Since Specialization
Citations

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

Fields of papers citing papers by Marjon Navis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001206
2 2003139
3 2012128
4 2011117
5 2011106
6 200284
7 200773
8 200758
9 201254
10 201444
11 201243
12 201132
13 200832
14 201127
15 200727
16 200826
17 201222
18 200819
19 201019
20 201418

About Marjon Navis

Marjon Navis is a scholar working on Virology, Immunology, Infectious Diseases, Molecular Biology and Oncology, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (20 papers), Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (9 papers), HIV/AIDS Research and Interventions (4 papers), HIV/AIDS drug development and treatment (4 papers), vaccines and immunoinformatics approaches (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Virology (607 citations), Immunology (769 citations), Infectious Diseases (182 citations), Epidemiology (309 citations) and Oncology (228 citations). Marjon Navis has collaborated with scholars based in Netherlands, Australia and United States. Frequent co-authors include Rob Leurs, Stephen J. Kent, Gamze Isitman, Ivan Stratov, Martine J. Smit, Amy W. Chung, Henk Timmerman, Dennis Verzijl, Paola Casarosa and Leia Wren. Their work appears in journals such as Journal of Virology, PLoS ONE, Virology, JAIDS Journal of Acquired Immune Deficiency Syndromes and AIDS.

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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