Ivan Černý
Impact in
- Physiology top 10%
- Reproductive biology and impacts on aquatic species
- Behavioral Neuroscience top 10%
Papers in
-
- Steroid Chemistry and Biochemistry 48
-
- Carbohydrate Chemistry and Synthesis 13
- Synthesis and biological activity 3
- Co-authors
- Vladimı́r Pouzar (60 shared papers)Pavel Drašar (37 shared papers)Martin Hill (12 shared papers)Helena Havlı́ková (7 shared papers)Dávid Ernst (4 shared papers)Marek Kolenčík (3 shared papers)Qian Yu (3 shared papers)Gabriela Kratošová (3 shared papers)
- Journals
- Steroids (18 papers)Nanomaterials (3 papers)The Journal of Steroid Biochemistry and Molecular Biology (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Carbohydrate Research (2 papers)
- Partner nations
- CzechiaUnited StatesSlovakia
In The Last Decade
Ivan Černý
77 papers receiving 917 citations
Peers
Comparison fields: 5 of 80
- Physiology 42
- Behavioral Neuroscience 21
- Cellular and Molecular Neuroscience 75
- Materials Chemistry 195
- Organic Chemistry 150
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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 111 | |
| 2 | 2019 | 91 | |
| 3 | 2005 | 52 | |
| 4 | 2022 | 52 | |
| 5 | 2005 | 48 | |
| 6 | 2003 | 45 | |
| 7 | 2006 | 43 | |
| 8 | 2003 | 42 | |
| 9 | 1999 | 32 | |
| 10 | 2004 | 28 | |
| 11 | 2002 | 24 | |
| 12 | 2003 | 24 | |
| 13 | 2010 | 23 | |
| 14 | 2005 | 20 | |
| 15 | 2005 | 15 | |
| 16 | 1976 | 13 | |
| 17 | 2008 | 12 | |
| 18 | 1996 | 11 | |
| 19 | 2000 | 11 | |
| 20 | 1984 | 10 |
About Ivan Černý
Ivan Černý is a scholar working on Molecular Biology, Organic Chemistry, Genetics, Biomaterials and Plant Science, having authored 81 papers that have together received 939 indexed citations. Recurring topics across this work include Steroid Chemistry and Biochemistry (48 papers), Carbohydrate Chemistry and Synthesis (13 papers), Estrogen and related hormone effects (7 papers), Sunflower and Safflower Cultivation (4 papers), Adrenal Hormones and Disorders (3 papers), Nanoparticles: synthesis and applications (3 papers), Synthesis and biological activity (3 papers) and Plant Micronutrient Interactions and Effects (3 papers). The work is most often cited by research in Physiology (42 citations), Behavioral Neuroscience (21 citations), Cellular and Molecular Neuroscience (75 citations), Materials Chemistry (195 citations) and Organic Chemistry (150 citations). Ivan Černý has collaborated with scholars based in Czechia, United States and Slovakia. Frequent co-authors include Vladimı́r Pouzar, Pavel Drašar, Martin Hill, Helena Havlı́ková, Dávid Ernst, Marek Kolenčík, Qian Yu, Gabriela Kratošová, Luboslav Stárka and Lyudmila Kancheva. Their work appears in journals such as Steroids, Nanomaterials, The Journal of Steroid Biochemistry and Molecular Biology, The Journal of Clinical Endocrinology & Metabolism and Carbohydrate 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.