J. Hejnova
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Rehabilitation top 5%
- Exercise and Physiological Responses
Papers in
- Physiology 22
- Adipose Tissue and Metabolism 20
- Diet and metabolism studies 4
- Body Composition Measurement Techniques 3
- Epidemiology 11
- Adipokines, Inflammation, and Metabolic Diseases 11
- Co-authors
- Vladimír Štich (22 shared papers)M Berlan (13 shared papers)Dominique Langin (13 shared papers)Eva Klimčáková (12 shared papers)Nathalie Viguerie (10 shared papers)J. Polák (9 shared papers)F. Crampes (9 shared papers)Max Lafontan (7 shared papers)
In The Last Decade
J. Hejnova
24 papers receiving 945 citations
Peers
Comparison fields: 5 of 69
- Physiology 662
- Rehabilitation 84
- Cell Biology 199
- Complementary and alternative medicine 94
- Epidemiology 370
Countries citing papers authored by J. Hejnova
This map shows the geographic impact of J. Hejnova'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 J. Hejnova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Hejnova more than expected).
Fields of papers citing papers by J. Hejnova
This network shows the impact of papers produced by J. Hejnova. 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 J. Hejnova. The network helps show where J. Hejnova may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Hejnova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 135 | |
| 2 | 2010 | 87 | |
| 3 | 2007 | 81 | |
| 4 | 2002 | 74 | |
| 5 | 2000 | 73 | |
| 6 | 2010 | 63 | |
| 7 | 1998 | 61 | |
| 8 | 2011 | 60 | |
| 9 | 1999 | 56 | |
| 10 | 2005 | 44 | |
| 11 | 2008 | 42 | |
| 12 | 2005 | 40 | |
| 13 | 1999 | 39 | |
| 14 | 2002 | 27 | |
| 15 | 2001 | 22 | |
| 16 | 2009 | 22 | |
| 17 | 2008 | 21 | |
| 18 | 2002 | 11 | |
| 19 | 2007 | 8 | |
| 20 | 2001 | 5 |
About J. Hejnova
J. Hejnova is a scholar working on Physiology, Epidemiology, Cell Biology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 24 papers that have together received 981 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (20 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Muscle metabolism and nutrition (10 papers), Diet and metabolism studies (4 papers), Body Composition Measurement Techniques (3 papers), Lipid metabolism and biosynthesis (2 papers), Antioxidant Activity and Oxidative Stress (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Physiology (662 citations), Rehabilitation (84 citations), Cell Biology (199 citations), Complementary and alternative medicine (94 citations) and Epidemiology (370 citations). J. Hejnova has collaborated with scholars based in France, Czechia and Australia. Frequent co-authors include Vladimír Štich, M Berlan, Dominique Langin, Eva Klimčáková, Nathalie Viguerie, J. Polák, F. Crampes, Max Lafontan, Isabelle de Glisezinski and Cédric Moro. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Physiology-Endocrinology and Metabolism, International Journal of Obesity, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Diabetologia.
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.