Frank Miedema

22.9k citations
217 papers · 18.5k indexed · 11 hit papers · h-index 68
  • Virology top 0.01%
    • HIV Research and Treatment 141
  • Immunology top 0.05%
    • Immune Cell Function and Interaction 105
    • T-cell and B-cell Immunology 58
    • T-cell and Retrovirus Studies 15
    • Immunotherapy and Immune Responses 14
    • HIV/AIDS Research and Interventions 47
    • HIV/AIDS drug development and treatment 41
  • Epidemiology top 0.5%
    • Cytomegalovirus and herpesvirus research 39

Frank Miedema

215 papers receiving 18.0k citations

Hit Papers

Assessing scient...2321987202620002013250500750

Peers

Frank Miedema
Comparison fields: 5 of 178
  • Virology 12.1k
  • Immunology 10.2k
  • Infectious Diseases 6.2k
  • Epidemiology 4.2k
  • Emergency Medicine 1.1k
Replace Rafick‐Pierre Sékaly with:
Rafick‐Pierre Sékaly United States
Warner C. Greene United States
Giuseppe Pantaleo Switzerland
Paul R. Clapham United Kingdom
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Olivier Schwartz France
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Brigitte Autran France
Ashley T. Haase United States
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Frank Miedema relative to Rafick‐Pierre Sékaly United States Rafick‐Pierre Sékaly's profile →
Citations per field
00.5×1.5×
Rafick‐Pierre Sékaly · 1×
Citations per year

Countries citing papers authored by Frank Miedema

Since Specialization
Citations

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

Fields of papers citing papers by Frank Miedema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20201
2 200848
3 200853
4 200775
5 20078
6 200773
7 200563
8 20056
9 200523
10 200524
11 200443
12 200466
13 200265
14 2002132
15 19957
16 199313
17 199226
18 1988102
19 198882
20 19831

About Frank Miedema

Frank Miedema is a scholar working on Virology, Immunology and Infectious Diseases, having authored 217 papers that have together received 18.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (141 papers), Immune Cell Function and Interaction (105 papers), T-cell and B-cell Immunology (58 papers), HIV/AIDS Research and Interventions (47 papers), HIV/AIDS drug development and treatment (41 papers), Cytomegalovirus and herpesvirus research (39 papers), T-cell and Retrovirus Studies (15 papers) and Immunotherapy and Immune Responses (14 papers). The work is most often cited by research in Virology (12.1k citations), Immunology (10.2k citations) and Infectious Diseases (6.2k citations). Frank Miedema has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Hanneke Schuitemaker, M Tersmette, Sigrid A. Otto, Dörte Hamann, Mette D. Hazenberg, Joep M. A. Lange, Neeltje A. Kootstra, R E de Goede, Linde Meyaard and Marijke Roos. Their work appears in journals such as Nature, Science 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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