Götz Münch

2.8k citations
65 papers · 2.3k · h-index 27

Impact in

Papers in

Götz Münch

65 papers receiving 2.2k citations

Peers

Götz Münch
Comparison fields: 5 of 95
  • Internal Medicine 289
  • Hematology 746
  • Cardiology and Cardiovascular Medicine 1.1k
  • Immunology and Allergy 77
  • Molecular Biology 613
Replace Jane F. Arthur with:
Jane F. Arthur Australia
Nicholas F. Paoni United States
Wolfgang Bergmeier United States
Markus Bender Germany
Jan‐Willem N. Akkerman Netherlands
Pierre Zoldhelyi United States
Mauro Torti Italy
R W Colman United States
Magdalena L. Bochenek Germany
Roger van Kruchten Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Götz Münch

Since Specialization
Citations

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

Fields of papers citing papers by Götz Münch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999246
2 2011198
3 2003160
4 2013105
5 2010103
6 200078
7 201376
8 201273
9 200268
10 200966
11 201362
12
Myocardial technetium-99m-tetrofosmin and technetium-99m-sestamibi kinetics in normal subjects and patients with coronary artery disease.
199750
13 201146
14 201244
15 201543
16 201543
17 200638
18 200835
19 201233
20 200433

About Götz Münch

Götz Münch is a scholar working on Cardiology and Cardiovascular Medicine, Hematology, Molecular Biology, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 65 papers that have together received 2.3k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (20 papers), Cardiac electrophysiology and arrhythmias (17 papers), Ion channel regulation and function (13 papers), Antiplatelet Therapy and Cardiovascular Diseases (8 papers), Venous Thromboembolism Diagnosis and Management (7 papers), Cardiomyopathy and Myosin Studies (7 papers), Blood properties and coagulation (6 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Internal Medicine (289 citations), Hematology (746 citations), Cardiology and Cardiovascular Medicine (1.1k citations), Immunology and Allergy (77 citations) and Molecular Biology (613 citations). Götz Münch has collaborated with scholars based in Germany, United Kingdom and Israel. Frequent co-authors include Martin Ungerer, Meinrad Gawaz, Robert H. G. Schwinger, Andreas Bültmann, Peter Karczewski, Hans‐Peter Holthoff, Zhongmin Li, Erland Erdmann, Ernst‐Georg Krause and Birgit Bölck. Their work appears in journals such as Thrombosis and Haemostasis, Journal of Molecular Medicine, Circulation Research, Circulation and Journal of Molecular and Cellular Cardiology.

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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