F Markwárdt

333 papers receiving 5.9k citations

Peers

F Markwárdt
Comparison fields: 5 of 138
  • Physiology 1.4k
  • Internal Medicine 661
  • Hematology 1.4k
  • Endocrine and Autonomic Systems 458
  • Cardiology and Cardiovascular Medicine 965
Replace Dongchon Kang with:
Dongchon Kang Japan
James S. Wiley Australia
Bernd Nürnberg Germany
Eduardo Rodolfo Lazarowski United States
Bernard Robaye Belgium
Brant E. Isakson United States
Hisanori Kato Japan
Rainer Schreiber Germany
Masahiro Nishibori Japan
Troy Stevens United States
F Markwárdt relative to Dongchon Kang Japan Dongchon Kang's profile →
Citations per field
00.5×2×4×6×8.9×
Dongchon Kang · 1×
Citations per year

Countries citing papers authored by F Markwárdt

Since Specialization
Citations

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

Fields of papers citing papers by F Markwárdt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 359 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970285
2 2018235
3 2010227
4 1994212
5 1968124
6 2002112
7 1957110
8 1991106
9 1989105
10 1983103
11 198498
12 198295
13 201093
14
Pharmacological survey of recombinant hirudin.
198880
15 198972
16 199271
17 200168
18 201768
19 195567
20
[The reaction between hirudin and thrombin].
195867

About F Markwárdt

F Markwárdt is a scholar working on Hematology, Physiology, Internal Medicine, Genetics and Organic Chemistry, having authored 359 papers that have together received 6.6k indexed citations. Recurring topics across this work include Heparin-Induced Thrombocytopenia and Thrombosis (56 papers), Blood Coagulation and Thrombosis Mechanisms (54 papers), Adenosine and Purinergic Signaling (42 papers), Venomous Animal Envenomation and Studies (34 papers), Venous Thromboembolism Diagnosis and Management (31 papers), Ion channel regulation and function (30 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (27 papers) and Protease and Inhibitor Mechanisms (23 papers). The work is most often cited by research in Physiology (1.4k citations), Internal Medicine (661 citations), Hematology (1.4k citations), Endocrine and Autonomic Systems (458 citations) and Cardiology and Cardiovascular Medicine (965 citations). F Markwárdt has collaborated with scholars based in Germany, Czechia and South Korea. Frequent co-authors include Peter Walsmann, Günther Schmalzing, Jörg Stürzebecher, G Nowak, Manuela Klapperstück, Brigitte Kaiser, Francesco Di Virgilio, J. Hauptmann, Erika Glusa and H.‐P. Klöcking. Their work appears in journals such as Thrombosis Research, Thrombosis and Haemostasis, Naunyn-Schmiedeberg s Archives of Pharmacology, Die Naturwissenschaften and Biophysical Journal.

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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