Eva Jablonka
- Genetics top 0.5%
- Molecular Biology top 5%
- Sociology and Political Science top 1%
- Plant Science top 2%
- Ecology, Evolution, Behavior and Systematics top 1%
- Co-authors
- Marion J. LambGal RazSimona GinsburgMichael LachmannEytan AvitalKevin N. LalandGerd B. MüllerArmin P. Moczek
- Topics
- Evolutionary Game Theory and Cooperation (19 papers)Evolution and Genetic Dynamics (17 papers)Epigenetics and DNA Methylation (16 papers)
- Partner nations
- IsraelUnited KingdomUnited States
In The Last Decade
Eva Jablonka
124 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Genetics 2.3k
- Molecular Biology 2.2k
- Sociology and Political Science 1.3k
- Plant Science 954
- Ecology, Evolution, Behavior and Systematics 888
Countries citing papers authored by Eva Jablonka
This map shows the geographic impact of Eva Jablonka'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 Eva Jablonka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Jablonka more than expected).
Fields of papers citing papers by Eva Jablonka
This network shows the impact of papers produced by Eva Jablonka. 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 Eva Jablonka. The network helps show where Eva Jablonka may publish in the future.
Co-authorship network of co-authors of Eva Jablonka
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Jablonka. A scholar is included among the top collaborators of Eva Jablonka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Jablonka. Eva Jablonka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 14 | |
| 3 | Sentience in Plants: A Green Red Herring? | 4 |
| 4 | 43 | |
| 5 | Consciousness as a Mode of Being | 5 |
| 6 | 62 | |
| 7 | 17 | |
| 8 | 43 | |
| 9 | Transgenerational Epigenetic Inheritance: Prevalence, Mechanisms, and Implications for the Study of Heredity and Evolutionbreakdown → | 1028 |
| 10 | Le darwinisme evolue aussi | 0 |
| 11 | 23 | |
| 12 | 44 | |
| 13 | Biological evolution: processes and phenomena | 5 |
| 14 | Lamarckian inheritance systems in biology: a source of metaphors and models in technological evolution | 7 |
| 15 | 176 | |
| 16 | 56 | |
| 17 | 54 | |
| 18 | 36 | |
| 19 | 52 | |
| 20 | 47 |
About Eva Jablonka
Eva Jablonka is a scholar working on History and Philosophy of Science, Genetics and Cultural Studies, having authored 129 papers that have together received 7.4k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (19 papers), Evolution and Genetic Dynamics (17 papers) and Epigenetics and DNA Methylation (16 papers). The work is most often cited by research in History and Philosophy of Science (806 citations), Aging (244 citations) and Genetics (2.3k citations). Eva Jablonka has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Marion J. Lamb, Gal Raz, Simona Ginsburg, Michael Lachmann, Eytan Avital, Kevin N. Laland, Gerd B. Müller, Armin P. Moczek, Tobias Uller and John Odling‐Smee. Their work appears in journals such as Nature, The Lancet and Trends in Ecology & Evolution.
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.