D Křenová

1.4k citations
82 papers · 1.2k · h-index 20

Impact in

Papers in

D Křenová

79 papers receiving 1.1k citations

Peers

D Křenová
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 292
  • Genetics 443
  • Physiology 347
  • Aging 18
  • Biochemistry 72
Replace Connie A. Marshall with:
Connie A. Marshall United States
Yunhua L. Muller United States
Anette P. Gjesing Denmark
Charles F. Howard United States
David S. Sinasac Canada
Hong Jiao Sweden
Amrita Kamat United States
Matthew G.F. Sharp United Kingdom
Fabiana Cornejo Maciel Argentina
Makoto Takenoshita Japan
D Křenová relative to Connie A. Marshall United States Connie A. Marshall's profile →
Citations per field
00.5×1.5×
Connie A. Marshall · 1×
Citations per year

Countries citing papers authored by D Křenová

Since Specialization
Citations

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

Fields of papers citing papers by D Křenová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999101
2 199779
3 199677
4 200962
5 199758
6 200742
7 200440
8 200136
9 199833
10 200531
11 200030
12 200230
13 200029
14 200529
15 200426
16 199923
17 200323
18 200220
19 201320
20 200720

About D Křenová

D Křenová is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Physiology and Pediatrics, Perinatology and Child Health, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (15 papers), Adipose Tissue and Metabolism (15 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers), Birth, Development, and Health (9 papers), Hormonal Regulation and Hypertension (8 papers), Congenital limb and hand anomalies (8 papers), Renin-Angiotensin System Studies (6 papers) and CRISPR and Genetic Engineering (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (292 citations), Genetics (443 citations), Physiology (347 citations), Aging (18 citations) and Biochemistry (72 citations). D Křenová has collaborated with scholars based in Czechia, United States and Canada. Frequent co-authors include Vladimı́r Křen, Michal Pravenec, Ludmila Kazdová, Ond⊘řej Šeda, Lucie Šedová, Václav Zı́dek, František Liška, Elizabeth St. Lezin, Pavel Hamet and Miroslava Šimáková. Their work appears in journals such as Hypertension, Physiological Genomics, Physiological Research, Lipids in Health and Disease 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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