Dávid Jónás
Impact in
- Biotechnology top 10%
- Transgenic Plants and Applications
-
- Animal Genetics and Reproduction
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
Papers in ⓘ
- Co-authors
- Juliane Kleiner (2 shared papers)Karl‐Heinz Engel (1 shared paper)Knut J. Heller (1 shared paper)Ibrahim Elmadfa (1 shared paper)Wilfried Wackernagel (1 shared paper)D. Müller (1 shared paper)Ariane König (1 shared paper)G. Kozianowski (1 shared paper)
In The Last Decade
Dávid Jónás
23 papers receiving 413 citations
Peers
Comparison fields: 5 of 85
- Biotechnology 49
- Genetics 142
- Plant Science 180
- Molecular Biology 226
- Food Science 55
Countries citing papers authored by Dávid Jónás
This map shows the geographic impact of Dávid Jónás'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 Dávid Jónás with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Jónás more than expected).
Fields of papers citing papers by Dávid Jónás
This network shows the impact of papers produced by Dávid Jónás. 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 Dávid Jónás. The network helps show where Dávid Jónás may publish in the future.
Co-authors
The 25 scholars most cited alongside Dávid Jónás, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 129 | |
| 2 | 2007 | 72 | |
| 3 | 1996 | 68 | |
| 4 | 2014 | 32 | |
| 5 | 2012 | 20 | |
| 6 | 2000 | 20 | |
| 7 | 2017 | 15 | |
| 8 | 2016 | 15 | |
| 9 | 2013 | 14 | |
| 10 | 2018 | 11 | |
| 11 | 2017 | 9 | |
| 12 | 2016 | 6 | |
| 13 | Serological prevalence of leptospirosis: a survey of pigs and cattle in Rheinland-Pfalz (Germany) covering several years. | 1990 | 5 |
| 14 | 2020 | 5 | |
| 15 | 2013 | 5 | |
| 16 | 2013 | 4 | |
| 17 | Detection of Echinococcus multilocularis in foxes in Rheinland-Pfalz | 1984 | 3 |
| 18 | 2022 | 3 | |
| 19 | 1996 | 3 | |
| 20 | 1981 | 2 |
About Dávid Jónás
Dávid Jónás is a scholar working on Equine, Genetics, Virology, Agronomy and Crop Science and Biophysics, having authored 25 papers that have together received 445 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (4 papers), Epigenetics and DNA Methylation (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetically Modified Organisms Research (3 papers), Consumer Attitudes and Food Labeling (3 papers), CRISPR and Genetic Engineering (2 papers), Gut microbiota and health (2 papers) and Genetics and Plant Breeding (2 papers). The work is most often cited by research in Biotechnology (49 citations), Genetics (142 citations), Plant Science (180 citations), Molecular Biology (226 citations) and Food Science (55 citations). Dávid Jónás has collaborated with scholars based in Hungary, France and Germany. Frequent co-authors include Juliane Kleiner, Karl‐Heinz Engel, Knut J. Heller, Ibrahim Elmadfa, Wilfried Wackernagel, D. Müller, Ariane König, G. Kozianowski, J.F. Narbonne and László Nagy. Their work appears in journals such as Food and Chemical Toxicology, Journal of Dairy Science, GeroScience, Annals of Nutrition and Metabolism and International Journal of Food Science & Technology.
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.