Peter Presek

2.4k citations
49 papers · 2.0k · h-index 25

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 7
    • Receptor Mechanisms and Signaling 4
    • Platelet Disorders and Treatments 14

Peter Presek

49 papers receiving 1.9k citations

Peers

Peter Presek
Comparison fields: 5 of 117
  • Hematology 476
  • Internal Medicine 106
  • Immunology and Allergy 149
  • Cardiology and Cardiovascular Medicine 335
  • Immunology 294
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Monique Plantavid France
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Citations per field
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Citations per year

Countries citing papers authored by Peter Presek

Since Specialization
Citations

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

Fields of papers citing papers by Peter Presek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001344
2 1999188
3 1979124
4
Botulinum C2 toxin ADP-ribosylates actin and disorganizes the microfilament network in intact cells.
198785
5 197982
6 198867
7 200066
8 199363
9 199462
10 199258
11 198158
12 199857
13 200051
14
Similarities between a phosphoprotein (pp60src)-associated protein kinase of Rous sarcoma virus and a cyclic adenosine 3':5'-monophosphate-independent protein kinase that phosphorylates pyruvate kinase type M2.
198047
15 201042
16 200437
17 200037
18 199334
19 198030
20 199028

About Peter Presek

Peter Presek is a scholar working on Molecular Biology, Hematology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Immunology, having authored 49 papers that have together received 2.0k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (14 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Blood properties and coagulation (4 papers), Heparin-Induced Thrombocytopenia and Thrombosis (4 papers) and Occupational and environmental lung diseases (4 papers). The work is most often cited by research in Hematology (476 citations), Internal Medicine (106 citations), Immunology and Allergy (149 citations), Cardiology and Cardiovascular Medicine (335 citations) and Immunology (294 citations). Peter Presek has collaborated with scholars based in Germany, South Korea and France. Frequent co-authors include Hartmut Glossmann, Volker Henn, Sabine Steinbach, Kerstin Büchner, Richard A. Kroczek, Rainer Hornung, E. Eigenbrodt, U Liebenhoff, Duygu Fındık and Andreas Greinacher. Their work appears in journals such as Biochemical Journal, FEBS Letters, Naunyn-Schmiedeberg s Archives of Pharmacology, Thrombosis and Haemostasis and Blood.

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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