J. Fulka
Impact in
- Reproductive Medicine top 0.5%
- Sperm and Testicular Function
- Ovarian function and disorders
-
- Reproductive Biology and Fertility
Papers in
-
- Reproductive Biology and Fertility 106
-
- Pluripotent Stem Cells Research 37
- Renal and related cancers 25
- CRISPR and Genetic Engineering 14
- Genomics and Chromatin Dynamics 12
- Co-authors
- Jan Motlík (24 shared papers)R. M. Moor (22 shared papers)Josef Fulka (35 shared papers)N. Crozet (3 shared papers)J.E. Fléchon (5 shared papers)Pasqualino Loi (23 shared papers)F. Jı́lek (5 shared papers)Jiří Kaňka (8 shared papers)
- Journals
- Reproduction (19 papers)Theriogenology (8 papers)Journal of Reproduction and Development (7 papers)Human Reproduction (5 papers)Animal Reproduction Science (4 papers)
- Partner nations
- CzechiaUnited KingdomItaly
In The Last Decade
J. Fulka
141 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 99
- Reproductive Medicine 1.3k
- Public Health, Environmental and Occupational Health 2.7k
- Genetics 830
- Molecular Biology 2.1k
- Aging 42
Countries citing papers authored by J. Fulka
This map shows the geographic impact of J. Fulka'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. Fulka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Fulka more than expected).
Fields of papers citing papers by J. Fulka
This network shows the impact of papers produced by J. Fulka. 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. Fulka. The network helps show where J. Fulka may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Fulka, 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 146 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 178 | |
| 2 | 2004 | 176 | |
| 3 | 1984 | 158 | |
| 4 | 1989 | 147 | |
| 5 | 1998 | 132 | |
| 6 | 1986 | 128 | |
| 7 | 2008 | 117 | |
| 8 | 1986 | 113 | |
| 9 | 1986 | 111 | |
| 10 | 2017 | 99 | |
| 11 | 1986 | 96 | |
| 12 | 2020 | 82 | |
| 13 | 1988 | 74 | |
| 14 | 1978 | 70 | |
| 15 | 2014 | 68 | |
| 16 | 1991 | 65 | |
| 17 | 1974 | 63 | |
| 18 | 1981 | 60 | |
| 19 | 2006 | 52 | |
| 20 | 2021 | 45 |
About J. Fulka
J. Fulka is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Reproductive Medicine, Genetics and Plant Science, having authored 146 papers that have together received 3.7k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (106 papers), Pluripotent Stem Cells Research (37 papers), Sperm and Testicular Function (37 papers), Renal and related cancers (25 papers), Animal Genetics and Reproduction (19 papers), CRISPR and Genetic Engineering (14 papers), Ovarian function and disorders (13 papers) and Genomics and Chromatin Dynamics (12 papers). The work is most often cited by research in Reproductive Medicine (1.3k citations), Public Health, Environmental and Occupational Health (2.7k citations), Genetics (830 citations), Molecular Biology (2.1k citations) and Aging (42 citations). J. Fulka has collaborated with scholars based in Czechia, United Kingdom and Italy. Frequent co-authors include Jan Motlík, R. M. Moor, Josef Fulka, N. Crozet, J.E. Fléchon, Pasqualino Loi, F. Jı́lek, Jiří Kaňka, M Mrázek and V. Kopečný. Their work appears in journals such as Reproduction, Theriogenology, Journal of Reproduction and Development, Human Reproduction and Animal Reproduction Science.
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.