Florian Puhm

1.3k citations
18 papers · 909 · 1 hit paper · h-index 11

Impact in

Papers in

Florian Puhm

17 papers receiving 898 citations

Florian Puhm's Hit Papers

Platelets Can Associate With SARS-CoV-2 RNA and Are Hyperactivated in COVID-19 2020 · 362 citations
3620+2+4Years since publication100200300

Peers

Florian Puhm
Comparison fields: 5 of 85
  • Internal Medicine 73
  • Infectious Diseases 295
  • Hematology 113
  • Neurology 121
  • Immunology 161
Replace César Sanz-Rodrı́guez with:
César Sanz-Rodrı́guez Spain
Paul Y. Kim Canada
Jieru Geng United States
Mara Giordano Italy
Antonios Bayas Germany
Catherine C. Robertson Canada
Robert M. Strieter United States
Alvin Han United States
Tomohiro Kawano Japan
Catherine Groden United States
Florian Puhm relative to César Sanz-Rodrı́guez Spain César Sanz-Rodrı́guez's profile →
Citations per field
00.5×8.6×
César Sanz-Rodrı́guez · 1×
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 →
2020362
2 2019220
3 201363
4 201654
5 202144
6 202241
7 202139
8 202027
9 202318
10 202215
11 202011
12 20244
13 20253
14 20173
15 20172
16 20222
17 20231
18 20160

About Florian Puhm

Florian Puhm is a scholar working on Molecular Biology, Infectious Diseases, Hematology, Dermatology and Oncology, having authored 18 papers that have together received 909 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), Dermatological and COVID-19 studies (3 papers), Inflammasome and immune disorders (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). The work is most often cited by research in Internal Medicine (73 citations), Infectious Diseases (295 citations), Hematology (113 citations), Neurology (121 citations) and Immunology (161 citations). Florian Puhm has collaborated with scholars based in Canada, Austria and United States. Frequent co-authors include Éric Boilard, Louis Flamand, Younes Zaid, Christoph J. Binder, Amine Cheikh, Fadila Guessous, Isabelle Allaeys, Marc‐André Langlois, Loubna Khalki and Taras Afonyushkin. Their work appears in journals such as Blood, Blood Advances, Circulation Research, Journal of Thrombosis and Haemostasis and Hepatology.

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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