Yoav Soen

2.7k citations
42 papers · 2.0k · h-index 24

Impact in

  • Aging top 5%
    • Pluripotent Stem Cells Research
    • Gut microbiota and health
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 6
    • CRISPR and Genetic Engineering 4
    • Pluripotent Stem Cells Research 4
    • Gut microbiota and health 3

Yoav Soen

40 papers receiving 1.9k citations

Peers

Yoav Soen
Comparison fields: 5 of 139
  • Aging 64
  • Molecular Biology 1.1k
  • Insect Science 122
  • Immunology 183
  • Cell Biology 140
Replace Chiou‐Hwa Yuh with:
Chiou‐Hwa Yuh Taiwan
Eli Eisenberg Israel
Laura C. Giojalas Argentina
Shoji A. Baba Japan
Hiroaki Takagi Japan
Christopher R. Brown United States
Christopher P. Garnham Canada
David Juan Spain
Agnes Telling United States
James B. Brown United States
Yoav Soen relative to Chiou‐Hwa Yuh Taiwan Chiou‐Hwa Yuh's profile →
Citations per field
00.5×2×3×4×4.7×
Chiou‐Hwa Yuh · 1×
Citations per year

Countries citing papers authored by Yoav Soen

Since Specialization
Citations

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

Fields of papers citing papers by Yoav Soen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yoav Soen, 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 Soen Line = papers co-authored together Yoav Soen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006195
2 2018178
3 2003126
4 2011108
5 2012102
6 201293
7 201292
8 200883
9 201680
10 200778
11 200578
12 200875
13 201266
14 201448
15 201348
16 201446
17 200240
18 201540
19 201737
20 199937

About Yoav Soen

Yoav Soen is a scholar working on Aging, Molecular Biology, Genetics, Insect Science and Statistical and Nonlinear Physics, having authored 42 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (4 papers), Insect symbiosis and bacterial influences (4 papers), Evolution and Genetic Dynamics (4 papers), Cosmology and Gravitation Theories (3 papers), Neural dynamics and brain function (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Aging (64 citations), Molecular Biology (1.1k citations), Insect Science (122 citations), Immunology (183 citations) and Cell Biology (140 citations). Yoav Soen has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Patrick O. Brown, Michael Elgart, Erez Braun, Theo D. Palmer, Akiko Mori, Amit Zeisel, Shay Stern, Natali Molotski, Noam Shental and Daniel S. Chen. Their work appears in journals such as Physical Review Letters, Frontiers in Genetics, PLoS Biology, Molecular Systems Biology and Biology Direct.

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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