Florian Puhm

1.3k total citations · 1 hit paper
18 papers, 873 citations indexed

About

Florian Puhm is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Florian Puhm has authored 18 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Infectious Diseases and 5 papers in Immunology. Recurrent topics in Florian Puhm's work include COVID-19 Clinical Research Studies (6 papers), Extracellular vesicles in disease (5 papers) and Platelet Disorders and Treatments (4 papers). Florian Puhm is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), Extracellular vesicles in disease (5 papers) and Platelet Disorders and Treatments (4 papers). Florian Puhm collaborates with scholars based in Canada, Austria and United States. Florian Puhm's co-authors include Éric Boilard, Louis Flamand, Younes Zaid, Christoph J. Binder, Fadila Guessous, Isabelle Allaeys, Amine Cheikh, Loubna Khalki, Marc‐André Langlois and Taras Afonyushkin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Circulation Research.

In The Last Decade

Florian Puhm

17 papers receiving 861 citations

Hit Papers

Platelets Can Associate With SARS-CoV-2 RNA and Are Hyper... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Florian Puhm Canada 11 378 338 168 149 135 18 873
JanWillem Duitman Netherlands 19 304 0.8× 121 0.4× 207 1.2× 57 0.4× 129 1.0× 57 1.1k
Jieru Geng United States 10 297 0.8× 240 0.7× 186 1.1× 98 0.7× 42 0.3× 15 805
Lorenzo Bonaguro Germany 8 221 0.6× 194 0.6× 394 2.3× 115 0.8× 129 1.0× 16 848
Paul Y. Kim Canada 18 155 0.4× 80 0.2× 118 0.7× 42 0.3× 110 0.8× 47 858
Naoyasu Ueda Japan 15 197 0.5× 113 0.3× 176 1.0× 73 0.5× 96 0.7× 41 950
Ravi M. Rao India 12 700 1.9× 61 0.2× 431 2.6× 44 0.3× 122 0.9× 19 1.5k
Hisaji Oshima Japan 21 319 0.8× 81 0.2× 146 0.9× 46 0.3× 104 0.8× 72 1.1k
Sujata Srikanth United States 16 225 0.6× 39 0.1× 158 0.9× 30 0.2× 60 0.4× 35 851
Zhaohui Tang China 17 353 0.9× 63 0.2× 184 1.1× 37 0.2× 61 0.5× 36 692
Ran Wei China 15 260 0.7× 63 0.2× 267 1.6× 17 0.1× 47 0.3× 36 717

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-authorship network of co-authors of Florian Puhm

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Puhm. A scholar is included among the top collaborators of Florian Puhm based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Florian Puhm. Florian Puhm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Dubuc, Isabelle, Annie Gravel, Florian Puhm, et al.. (2025). Deficiency in platelet 12-lipoxygenase exacerbates inflammation and disease severity during SARS-CoV-2 infection. Proceedings of the National Academy of Sciences. 122(12). e2420441122–e2420441122. 2 indexed citations
2.
Allaeys, Isabelle, Guillaume Lemaire, Mickaël Leclercq, et al.. (2024). SARS-CoV-2 infection modifies the transcriptome of the megakaryocytes in the bone marrow. Blood Advances. 8(11). 2777–2789. 3 indexed citations
3.
Puhm, Florian, Audrée Laroche, & Éric Boilard. (2023). Diversity of Megakaryocytes. Arteriosclerosis Thrombosis and Vascular Biology. 43(11). 2088–2098. 18 indexed citations
4.
Dubuc, Isabelle, Florian Puhm, Isabelle Allaeys, et al.. (2023). Loss of Platelet 12-Lipoxygenase Aggravates the Severity of Sars-Cov-2 Infection. Blood. 142(Supplement 1). 3938–3938. 1 indexed citations
5.
Puhm, Florian, Isabelle Allaeys, Isabelle Dubuc, et al.. (2022). Platelet activation by SARS-CoV-2 implicates the release of active tissue factor by infected cells. Blood Advances. 6(12). 3593–3605. 40 indexed citations
6.
Dubuc, Isabelle, Julien Prunier, Annie Gravel, et al.. (2022). Cytokines and Lipid Mediators of Inflammation in Lungs of SARS-CoV-2 Infected Mice. Frontiers in Immunology. 13. 893792–893792. 14 indexed citations
7.
Puhm, Florian & Éric Boilard. (2022). Megakaryocytes and platelets embrace diversity in face of adversity. Journal of Thrombosis and Haemostasis. 20(9). 1947–1950. 2 indexed citations
8.
Weiss, René, Tanja Eichhorn, Ingrid Linsberger, et al.. (2021). Extracellular vesicles are associated with C-reactive protein in sepsis. Scientific Reports. 11(1). 6996–6996. 38 indexed citations
9.
Zaid, Younes, Fadila Guessous, Florian Puhm, et al.. (2021). Platelet reactivity to thrombin differs between patients with COVID-19 and those with ARDS unrelated to COVID-19. Blood Advances. 5(3). 635–639. 43 indexed citations
10.
Zaid, Younes, Florian Puhm, Isabelle Allaeys, et al.. (2020). Platelets Can Associate With SARS-CoV-2 RNA and Are Hyperactivated in COVID-19. Circulation Research. 127(11). 1404–1418. 355 indexed citations breakdown →
11.
Mußbacher, Marion, Manuel Salzmann, Barbara Haigl, et al.. (2020). Ikk2-mediated inflammatory activation of arterial endothelial cells promotes the development and progression of atherosclerosis. Atherosclerosis. 307. 21–31. 11 indexed citations
12.
Obermayer, Georg, Taras Afonyushkin, Laura Göderle, et al.. (2020). Natural IgM antibodies inhibit microvesicle-driven coagulation and thrombosis. Blood. 137(10). 1406–1415. 26 indexed citations
13.
Puhm, Florian, Taras Afonyushkin, Ulrike Resch, et al.. (2019). Mitochondria Are a Subset of Extracellular Vesicles Released by Activated Monocytes and Induce Type I IFN and TNF Responses in Endothelial Cells. Circulation Research. 125(1). 43–52. 201 indexed citations
14.
Puhm, Florian & Christoph J. Binder. (2017). Characterization of Natural IgM Antibodies Recognizing Oxidation-Specific Epitopes on Circulating Microvesicles. Methods in molecular biology. 1643. 147–154. 2 indexed citations
15.
Yang, Qiong, Florian Puhm, Michael Freissmuth, & Christian Nanoff. (2017). Hyponatremia and V2 vasopressin receptor upregulation: a result of HSP90 inhibition. Cancer Chemotherapy and Pharmacology. 80(4). 673–684. 3 indexed citations
16.
Busch, Clara Jana‐Lui, Tim Hendrikx, David Weismann, et al.. (2016). Malondialdehyde epitopes are sterile mediators of hepatic inflammation in hypercholesterolemic mice. Hepatology. 65(4). 1181–1195. 54 indexed citations
17.
Obermayer, Georg, Taras Afonyushkin, Florian Puhm, et al.. (2016). Natural IgM Against Oxidation-Specific Epitopes Inhibit Microvesicle-Driven Coagulation. Blood. 128(22). 2562–2562.
18.
Collin, Caitlin, Frank Hauser, Ernesto González, et al.. (2013). Two types of muscarinic acetylcholine receptors in Drosophila and other arthropods. Cellular and Molecular Life Sciences. 70(17). 3231–3242. 60 indexed citations

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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