Florian Puhm

1.3k citations
18 papers · 873 · 1 hit paper · h-index 11

Impact in

Papers in

Florian Puhm

17 papers receiving 861 citations

Florian Puhm's Hit Papers

Platelets Can Associate With SARS-CoV-2 RNA and Are Hyperactivated in COVID-19 2020 · 355 citations
3550+2+4Years since publication100200300

Peers

Florian Puhm
Comparison fields: 5 of 89
  • Internal Medicine 83
  • Infectious Diseases 338
  • Hematology 121
  • Neurology 149
  • Immunology 168
Replace JanWillem Duitman with:
JanWillem Duitman Netherlands
Jieru Geng United States
Paul Y. Kim Canada
Sujata Srikanth United States
Ran Wei China
Naoyasu Ueda Japan
Adolfo Sebastiani Italy
Lorenzo Bonaguro Germany
Catherine C. Robertson Canada
Ravi M. Rao India
Florian Puhm relative to JanWillem Duitman Netherlands JanWillem Duitman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Florian Puhm

Since Specialization
Citations

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

Fields of papers citing papers by Florian Puhm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Platelets Can Associate With SARS-CoV-2 RNA and Are Hyperactivated in COVID-19
Hit paper breakdown →
2020355
2 2019201
3 201360
4 201654
5 202143
6 202240
7 202138
8 202026
9 202318
10 202214
11 202011
12 20243
13 20173
14 20252
15 20172
16 20222
17 20231
18 20160

About Florian Puhm

Florian Puhm is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Oncology and Hematology, having authored 18 papers that have together received 873 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Extracellular vesicles in disease (5 papers), Platelet Disorders and Treatments (4 papers), Inflammasome and immune disorders (4 papers), Dermatological and COVID-19 studies (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Internal Medicine (83 citations), Infectious Diseases (338 citations), Hematology (121 citations), Neurology (149 citations) and Immunology (168 citations). Florian Puhm has collaborated with scholars based in Canada, Austria and United States. Frequent co-authors include Éric Boilard, Louis Flamand, Younes Zaid, Fadila Guessous, Christoph J. Binder, Isabelle Allaeys, Amine Cheikh, Marc‐André Langlois, Loubna Khalki and Abdallah Naya. Their work appears in journals such as Blood, Blood Advances, Circulation Research, Scientific Reports and Frontiers in Immunology.

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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