Ivan Černý
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Physiology top 10%
Papers in
-
- Steroid Chemistry and Biochemistry 44
- Chemical Synthesis and Analysis 9
- Genetics 32
- Estrogen and related hormone effects 31
- Co-authors
- Vladimı́r Pouzar (66 shared papers)Pavel Drašar (41 shared papers)Martin Hill (12 shared papers)Helena Havlı́ková (7 shared papers)Lyudmila Kancheva (5 shared papers)Dávid Ernst (11 shared papers)L Stárka (5 shared papers)Radmila Kancheva (5 shared papers)
- Journals
- Steroids (18 papers)Nanomaterials (3 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)The Journal of Steroid Biochemistry and Molecular Biology (2 papers)Agronomy (2 papers)
- Partner nations
- CzechiaSlovakiaUnited States
In The Last Decade
Ivan Černý
97 papers receiving 893 citations
Peers
Comparison fields: 5 of 99
- Behavioral Neuroscience 53
- Physiology 33
- Organic Chemistry 179
- Endocrinology, Diabetes and Metabolism 89
- Plant Science 200
Countries citing papers authored by Ivan Černý
This map shows the geographic impact of Ivan Černý'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 Ivan Černý with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Černý more than expected).
Fields of papers citing papers by Ivan Černý
This network shows the impact of papers produced by Ivan Černý. 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 Ivan Černý. The network helps show where Ivan Černý may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Černý, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 80 | |
| 2 | 2019 | 68 | |
| 3 | 2005 | 49 | |
| 4 | 2022 | 45 | |
| 5 | 2003 | 43 | |
| 6 | 2006 | 42 | |
| 7 | 2005 | 42 | |
| 8 | 2003 | 41 | |
| 9 | 1999 | 32 | |
| 10 | 2002 | 24 | |
| 11 | 2010 | 23 | |
| 12 | 2004 | 22 | |
| 13 | 2005 | 20 | |
| 14 | 2003 | 19 | |
| 15 | 2010 | 17 | |
| 16 | 2005 | 15 | |
| 17 | 1976 | 12 | |
| 18 | 2000 | 11 | |
| 19 | 2008 | 11 | |
| 20 | 1996 | 11 |
About Ivan Černý
Ivan Černý is a scholar working on Molecular Biology, Genetics, Organic Chemistry, Plant Science and Spectroscopy, having authored 113 papers that have together received 923 indexed citations. Recurring topics across this work include Steroid Chemistry and Biochemistry (44 papers), Estrogen and related hormone effects (31 papers), Analytical Chemistry and Chromatography (11 papers), Hormonal and reproductive studies (10 papers), Sunflower and Safflower Cultivation (10 papers), Organic Chemistry Cycloaddition Reactions (9 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Chemical Synthesis and Analysis (9 papers). The work is most often cited by research in Behavioral Neuroscience (53 citations), Physiology (33 citations), Organic Chemistry (179 citations), Endocrinology, Diabetes and Metabolism (89 citations) and Plant Science (200 citations). Ivan Černý has collaborated with scholars based in Czechia, Slovakia and United States. Frequent co-authors include Vladimı́r Pouzar, Pavel Drašar, Martin Hill, Helena Havlı́ková, Lyudmila Kancheva, Dávid Ernst, L Stárka, Radmila Kancheva, Vladimı́r Král and Miloš Buděšı́nský. Their work appears in journals such as Steroids, Nanomaterials, The Journal of Clinical Endocrinology & Metabolism, The Journal of Steroid Biochemistry and Molecular Biology and Agronomy.
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.