V Kren

921 citations
218 papers · 5.4k · h-index 35

Impact in

  • Genetics top 1%
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic Associations and Epidemiology
    • Genetic and phenotypic traits in livestock
    • Blood Pressure and Hypertension Studies
    • Renin-Angiotensin System Studies
    • Lipid metabolism and disorders

Papers in

V Kren

209 papers receiving 5.1k citations

Peers

V Kren
Comparison fields: 5 of 107
  • Genetics 2.4k
  • Cardiology and Cardiovascular Medicine 1.6k
  • Biochemistry 191
  • Endocrinology, Diabetes and Metabolism 361
  • Molecular Biology 1k
Replace Toshio Murase with:
Toshio Murase Japan
William L. Duren United States
Jorge P. Ferrer Spain
Carol C. Shoulders United Kingdom
Benny Hung‐Junn Chang United States
Thomas E. Hughes United States
Kourosh R. Ahmadi United Kingdom
Martin McBride United Kingdom
Václav Zı́dek Czechia
Yukio Horikawa Japan
V Kren relative to Toshio Murase Japan Toshio Murase's profile →
Citations per field
00.5×2×2.6×
Toshio Murase · 1×
Citations per year

Countries citing papers authored by V Kren

Since Specialization
Citations

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

Fields of papers citing papers by V Kren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999622
2 2005420
3 1995404
4 2001169
5 2006167
6 1995150
7 2008149
8 2008140
9 1991135
10 1997132
11 1999102
12 199690
13 199786
14 200884
15 199781
16 199680
17 200966
18 199662
19 200361
20 199160

About V Kren

V Kren is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Developmental Biology, Transplantation and Immunology, having authored 218 papers that have together received 5.4k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (77 papers), Genetic Associations and Epidemiology (37 papers), Blood Pressure and Hypertension Studies (36 papers), T-cell and B-cell Immunology (21 papers), Renin-Angiotensin System Studies (20 papers), Congenital limb and hand anomalies (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers) and vaccines and immunoinformatics approaches (11 papers). The work is most often cited by research in Genetics (2.4k citations), Cardiology and Cardiovascular Medicine (1.6k citations), Biochemistry (191 citations), Endocrinology, Diabetes and Metabolism (361 citations) and Molecular Biology (1k citations). V Kren has collaborated with scholars based in Czechia, United States and Canada. Frequent co-authors include Michal Pravenec, Theodore W. Kurtz, Drahomíra Krenová, Elizabeth St. Lezin, Ludmila Kazdová, Václav Zı́dek, Timothy J. Aitman, Vlasta Bílá, Jaroslav Kuneš and Claude Szpirer. Their work appears in journals such as Hypertension, Mammalian Genome, Nature Genetics, Journal of Hypertension and Journal of Clinical Investigation.

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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