Stefan Pöhlmann

52.4k citations
231 papers · 30.8k indexed · 11 hit papers · h-index 64

Stefan Pöhlmann

226 papers receiving 30.3k citations

Hit Papers

SARS-...4920032026201020184.0k8.0k12.0k

Peers

Stefan Pöhlmann
Comparison fields: 5 of 176
  • Infectious Diseases 21.3k
  • Virology 2.4k
  • Neurology 4.5k
  • Immunology 5.5k
  • Animal Science and Zoology 2.3k
Replace Shibo Jiang with:
Shibo Jiang China
Andreas Nitsche Germany
Michael Farzan United States
Hyeryun Choe United States
Zheng‐Li Shi China
Michael Diamond United States
Barney S. Graham United States
Marcel A. Müller Germany
Bart L. Haagmans Netherlands
Stanley Perlman United States
Stefan Pöhlmann relative to Shibo Jiang China Shibo Jiang's profile →
Citations per field
00.5×2.6×
Shibo Jiang · 1×
Citations per year

Countries citing papers authored by Stefan Pöhlmann

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Pöhlmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20250
5 20242
6 20242
7 20240
8 20231
9 202338
10 20232
11 20221
12 202224
13 20221
14 202234
15 20221
16 202112
17 202115
18 202129
19 2021162
20
TMPRSS2 and ADAM17 Cleave ACE2 Differentially and Only Proteolysis by TMPRSS2 Augments Entry Driven by the Severe Acute Respiratory Syndrome Coronavirus Spike Proteinbreakdown →
2013647

About Stefan Pöhlmann

Stefan Pöhlmann is a scholar working on Virology, Infectious Diseases and Immunology, having authored 231 papers that have together received 30.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (92 papers), HIV Research and Treatment (58 papers), COVID-19 Clinical Research Studies (46 papers), Viral Infections and Outbreaks Research (44 papers), Immune Cell Function and Interaction (31 papers), Animal Virus Infections Studies (29 papers), Influenza Virus Research Studies (26 papers) and Viral Infections and Vectors (26 papers). The work is most often cited by research in Infectious Diseases (21.3k citations), Virology (2.4k citations) and Neurology (4.5k citations). Stefan Pöhlmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Markus Hoffmann, Hannah Kleine‐Weber, Christian Drosten, Nadine Krüger, Marcel A. Müller, Georg Herrler, Simon Schroeder, Andreas Nitsche, Tanja Herrler and Tobias S. Schiergens. Their work appears in journals such as Journal of Virology, Virology, PLoS ONE, Viruses and The Journal of Infectious Diseases.

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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