Yoav Ram

1.2k citations
37 papers · 531 · h-index 11

Impact in

    • COVID-19 epidemiological studies
  • Genetics top 10%
    • Evolution and Genetic Dynamics
    • Genetic diversity and population structure

Papers in

Yoav Ram

36 papers receiving 528 citations

Peers

Yoav Ram
Comparison fields: 5 of 105
  • Modeling and Simulation 41
  • Genetics 224
  • Molecular Medicine 21
  • Cultural Studies 30
  • Sociology and Political Science 127
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Teresa Rito Portugal
Christophe Boëte France
Nobuto Takeuchi Japan
Jenna Gallie Germany
Alma Dal Co Switzerland
Jordi van Gestel United States
Dave van Ditmarsch United States
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Gayle C. Ferguson New Zealand
Louise J. Johnson United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Yoav Ram

Since Specialization
Citations

This map shows the geographic impact of Yoav Ram'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 Yoav Ram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoav Ram more than expected).

Fields of papers citing papers by Yoav Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoav Ram. 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 Yoav Ram. The network helps show where Yoav Ram may publish in the future.

Co-authors

The 25 scholars most cited alongside Yoav Ram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yoav Ram Line = papers co-authored together Yoav Ram links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019106
2 201263
3 201855
4 202041
5 201641
6 202130
7 201827
8 201720
9 201318
10 201816
11 202213
12 20239
13 20189
14 20228
15 20218
16 20218
17 20207
18 20197
19 20176
20 20215

About Yoav Ram

Yoav Ram is a scholar working on Genetics, Sociology and Political Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Demography, having authored 37 papers that have together received 531 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (19 papers), Evolutionary Game Theory and Cooperation (16 papers), Culture, Economy, and Development Studies (6 papers), CRISPR and Genetic Engineering (4 papers), Genetic diversity and population structure (4 papers), COVID-19 epidemiological studies (4 papers), Language and cultural evolution (4 papers) and Animal Behavior and Reproduction (3 papers). The work is most often cited by research in Modeling and Simulation (41 citations), Genetics (224 citations), Molecular Medicine (21 citations), Cultural Studies (30 citations) and Sociology and Political Science (127 citations). Yoav Ram has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Lilach Hadany, Marcus W. Feldman, Uri Obolski, Yaniv Harari, Martin Kupiec, Uri Liberman, Judith Berman, Maayan Bibi, Tim F. Cooper and Eynat Dellus-Gur. Their work appears in journals such as Theoretical Population Biology, Proceedings of the National Academy of Sciences, Scientific Reports, Royal Society Open Science and Philosophical Transactions of the Royal Society B Biological Sciences.

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.

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