David Gela
Impact in
- Physiology top 0.05%
- Reproductive biology and impacts on aquatic species
- Aquatic Science top 0.2%
- Aquaculture Nutrition and Growth
- Fish Biology and Ecology Studies
Papers in
- Physiology 75
- Reproductive biology and impacts on aquatic species 75
-
- Aquaculture Nutrition and Growth 49
- Fish Biology and Ecology Studies 10
- Co-authors
- Otomar LinhartMarek RodinaMartin KocourMartin FlajšhansSayyed Mohammad Hadi AlaviMarc VandeputteMartin PšeničkaMartin Hulák
- Journals
- Aquaculture (22 papers)Aquaculture International (10 papers)Reviews in Fish Biology and Fisheries (6 papers)Cryobiology (5 papers)Fish Physiology and Biochemistry (4 papers)
- Partner nations
- CzechiaFranceUnited States
In The Last Decade
David Gela
109 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 82
- Physiology 1.5k
- Aquatic Science 1.2k
- Reproductive Medicine 725
- Nature and Landscape Conservation 924
- Genetics 937
Countries citing papers authored by David Gela
This map shows the geographic impact of David Gela'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 David Gela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gela more than expected).
Fields of papers citing papers by David Gela
This network shows the impact of papers produced by David Gela. 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 David Gela. The network helps show where David Gela may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Gela, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 4 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 21 | |
| 11 | 2019 | 9 | |
| 12 | 2018 | 20 | |
| 13 | 2017 | 24 | |
| 14 | 2013 | 20 | |
| 15 | 2012 | 11 | |
| 16 | 2011 | 6 | |
| 17 | 2009 | 31 | |
| 18 | 2007 | 55 | |
| 19 | 2005 | 58 | |
| 20 | Evaluation of slaughter value of common carp from diallel crossings. | 2000 | 12 |
About David Gela
David Gela is a scholar working on Physiology, Aquatic Science, Nature and Landscape Conservation, Reproductive Medicine and Genetics, having authored 112 papers that have together received 2.5k indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (75 papers), Aquaculture Nutrition and Growth (49 papers), Fish Ecology and Management Studies (48 papers), Sperm and Testicular Function (31 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (24 papers), Aquaculture disease management and microbiota (15 papers), Genetic and phenotypic traits in livestock (12 papers) and Fish Biology and Ecology Studies (10 papers). The work is most often cited by research in Physiology (1.5k citations), Aquatic Science (1.2k citations), Reproductive Medicine (725 citations), Nature and Landscape Conservation (924 citations) and Genetics (937 citations). David Gela has collaborated with scholars based in Czechia, France and United States. Frequent co-authors include Otomar Linhart, Marek Rodina, Martin Kocour, Martin Flajšhans, Sayyed Mohammad Hadi Alavi, Marc Vandeputte, Marek Rodina, Martin Pšenička, Martin Hulák and J. Cosson. Their work appears in journals such as Aquaculture, Aquaculture International, Reviews in Fish Biology and Fisheries, Cryobiology and Fish Physiology and Biochemistry.
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.