Ronit Weisman

1.3k citations
29 papers · 1.0k · h-index 19

Impact in

  • Aging top 5%
    • Fungal and yeast genetics research
    • PI3K/AKT/mTOR signaling in cancer
    • Polyamine Metabolism and Applications
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms

Papers in

Ronit Weisman

29 papers receiving 1.0k citations

Peers

Ronit Weisman
Comparison fields: 5 of 57
  • Aging 58
  • Molecular Biology 912
  • Cell Biology 132
  • Pharmacology 106
  • Ecology, Evolution, Behavior and Systematics 90
Replace Yoko Otsubo with:
Yoko Otsubo Japan
Sofia Aronova United States
Françoise M. Roelants United States
Michael C. Schultz Canada
Isabelle Howald Switzerland
Marie-Pierre Péli-Gulli Switzerland
Eric R. Kalkman United Kingdom
Péter István Kulcsár Hungary
Junko Kanoh Japan
Magdalena Boguta Poland
Ronit Weisman relative to Yoko Otsubo Japan Yoko Otsubo's profile →
Citations per field
00.5×1.5×2×2.4×
Yoko Otsubo · 1×
Citations per year

Countries citing papers authored by Ronit Weisman

Since Specialization
Citations

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

Fields of papers citing papers by Ronit Weisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001178
2 2006102
3 200471
4 199858
5 199756
6 200954
7 199651
8 200145
9 201642
10 201441
11 201433
12 201531
13 202029
14 201327
15 201626
16 201824
17 200424
18 201923
19 201322
20 201417

About Ronit Weisman

Ronit Weisman is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Aging, Pharmacology and Cell Biology, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (19 papers), PI3K/AKT/mTOR signaling in cancer (15 papers), Fungal Plant Pathogen Control (5 papers), Polyamine Metabolism and Applications (5 papers), CRISPR and Genetic Engineering (3 papers), Fungal Biology and Applications (3 papers), Microtubule and mitosis dynamics (3 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Aging (58 citations), Molecular Biology (912 citations), Cell Biology (132 citations), Pharmacology (106 citations) and Ecology, Evolution, Behavior and Systematics (90 citations). Ronit Weisman has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Mordechai Choder, Martin Kupiec, Adiel Cohen, Peter A. Fantes, Dana Laor Bar‐Yosef, Yigal Koltin, James CREANOR, R. Nicholas Laribee, Shaun Mackie and Emma Warbrick. Their work appears in journals such as Journal of Biological Chemistry, Genetics, PLoS Genetics, Molecular and Cellular Biology and mBio.

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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