Katalin Kauser

4.2k citations
72 papers · 3.4k · h-index 28

Impact in

Papers in

Katalin Kauser

71 papers receiving 3.4k citations

Peers

Katalin Kauser
Comparison fields: 5 of 114
  • Physiology 1.2k
  • Endocrinology, Diabetes and Metabolism 689
  • Biochemistry 286
  • Cardiology and Cardiovascular Medicine 721
  • Immunology 598
Replace Laurent Loufrani with:
Laurent Loufrani France
Toshiro Sugimoto Japan
Kouichi Inukai Japan
Murielle M. Véniant United States
Yves Gorin United States
Gavin I. Welsh United Kingdom
Stephen B. Wheatcroft United Kingdom
Jonathan D. Brown United States
Takeshi Marumo Japan
Praveen Chander United States
Katalin Kauser relative to Laurent Loufrani France Laurent Loufrani's profile →
Citations per field
00.5×1.5×2.3×
Laurent Loufrani · 1×
Citations per year

Countries citing papers authored by Katalin Kauser

Since Specialization
Citations

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

Fields of papers citing papers by Katalin Kauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006449
2 2000303
3 2005272
4 1997226
5 2002130
6 1995129
7 2000127
8 1990124
9 1994122
10 1998113
11 1991112
12 2005105
13 199798
14 200096
15 200271
16 200270
17 199967
18 198950
19 199847
20 199047

About Katalin Kauser

Katalin Kauser is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Molecular Biology, Genetics and Surgery, having authored 72 papers that have together received 3.4k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (27 papers), Estrogen and related hormone effects (10 papers), Atherosclerosis and Cardiovascular Diseases (7 papers), Menopause: Health Impacts and Treatments (7 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers), Renin-Angiotensin System Studies (6 papers), Hemophilia Treatment and Research (6 papers) and Hormonal Regulation and Hypertension (6 papers). The work is most often cited by research in Physiology (1.2k citations), Endocrinology, Diabetes and Metabolism (689 citations), Biochemistry (286 citations), Cardiology and Cardiovascular Medicine (721 citations) and Immunology (598 citations). Katalin Kauser has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Gabor M. Rubanyi, Christian Beauséjour, Judith Campisi, Jean‐Philippe Coppé, Anthony Johns, David R. Harder, Michael E. Rosenfeld, Patti Polinsky, Stephen M. Schwartz and Ana D. Freay. Their work appears in journals such as Blood, American Journal of Physiology-Heart and Circulatory Physiology, Arteriosclerosis Thrombosis and Vascular Biology, Nitric Oxide and Circulation Research.

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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