Yoav Soen

2.6k citations
45 papers · 1.8k · h-index 25

Impact in

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

Papers in

    • CRISPR and Genetic Engineering 4
    • Gut microbiota and health 4
    • Pluripotent Stem Cells Research 4
    • Evolution and Genetic Dynamics 4

Yoav Soen

44 papers receiving 1.8k citations

Peers

Yoav Soen
Comparison fields: 5 of 136
  • Aging 55
  • Molecular Biology 1.0k
  • Insect Science 117
  • Immunology 194
  • Cell Biology 133
Replace Christopher D. Wood with:
Christopher D. Wood Mexico
Martin Klingler Germany
Shoji A. Baba Japan
Louise Williams United States
Erez Lieberman-Aiden United States
Timothy T. Harkins United States
Eli Eisenberg Israel
Christopher P. Garnham Canada
D A Goodenough United States
Tobias Ragoczy United States
Yoav Soen relative to Christopher D. Wood Mexico Christopher D. Wood's profile →
Citations per field
00.5×
Christopher D. Wood · 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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006173
2 2018157
3 2003119
4 2011106
5 201299
6 201287
7 201287
8 200576
9 201673
10 200870
11 200767
12 200865
13 201252
14 201346
15 201444
16 201440
17 200239
18 201539
19 199935
20 201731

About Yoav Soen

Yoav Soen is a scholar working on Molecular Biology, Genetics, Aging, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Insect symbiosis and bacterial influences (4 papers), CRISPR and Genetic Engineering (4 papers), Evolution and Genetic Dynamics (4 papers), Gut microbiota and health (4 papers), Pluripotent Stem Cells Research (4 papers), Cosmology and Gravitation Theories (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Aging (55 citations), Molecular Biology (1.0k citations), Insect Science (117 citations), Immunology (194 citations) and Cell Biology (133 citations). Yoav Soen has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Patrick O. Brown, Michael Elgart, Erez Braun, Amit Zeisel, Akiko Mori, Theo D. Palmer, Shay Stern, Natali Molotski, Mark M. Davis and Daniel S. Chen. Their work appears in journals such as Journal of Clinical Oncology, Physical Review Letters, Nature Communications, Cell Reports and PLoS Biology.

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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