Michael Pfleiderer

555 citations
30 papers · 456 · h-index 14

Impact in

Papers in

    • Influenza Virus Research Studies 7
    • Respiratory viral infections research 4
    • Herpesvirus Infections and Treatments 3
    • SARS-CoV-2 and COVID-19 Research 9

Michael Pfleiderer

29 papers receiving 439 citations

Peers

Michael Pfleiderer
Comparison fields: 5 of 66
  • Virology 63
  • Animal Science and Zoology 115
  • Infectious Diseases 177
  • Health 37
  • Epidemiology 137
Replace Fusako Ikeda with:
Fusako Ikeda Japan
Lucas J. Adams United States
Santiago Dueñas‐Carrera Cuba
Gregory Hodge United States
Rafael Fernández-Muñoz Spain
Lisa M. Esolen United States
Giada Mattiuzzo United Kingdom
J Peetermans Belgium
Sudhanshu Vrati India
Michael Pfleiderer relative to Fusako Ikeda Japan Fusako Ikeda's profile →
Citations per field
00.5×3.1×
Fusako Ikeda · 1×
Citations per year

Countries citing papers authored by Michael Pfleiderer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pfleiderer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199157
2 199852
3 201533
4 201331
5 199931
6 201026
7 198624
8 201222
9 199320
10 200020
11 199119
12 201618
13 199515
14 200113
15 199511
16 199011
17 200911
18 201410
19 20085
20 20175

About Michael Pfleiderer

Michael Pfleiderer is a scholar working on Epidemiology, Infectious Diseases, Genetics, Health and Molecular Biology, having authored 30 papers that have together received 456 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Virus-based gene therapy research (8 papers), Influenza Virus Research Studies (7 papers), Vaccine Coverage and Hesitancy (5 papers), Poxvirus research and outbreaks (4 papers), Respiratory viral infections research (4 papers), Herpesvirus Infections and Treatments (3 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Virology (63 citations), Animal Science and Zoology (115 citations), Infectious Diseases (177 citations), Health (37 citations) and Epidemiology (137 citations). Michael Pfleiderer has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Stuart G. Siddell, E. G. Routledge, Falko G. Falkner, Friedrich Dorner, Roland H. Stauber, Christian K. Schneider, Michael A. Skinner, Herbert C. Morse, Egbert Flory and Yasushi Okada. Their work appears in journals such as Vaccine, Journal of Virology, Protein Expression and Purification, Advances in experimental medicine and biology and Journal of General Virology.

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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