Ronit Weisman
Impact in
- Aging top 5%
- Molecular Biology top 10%
- Fungal and yeast genetics research
- PI3K/AKT/mTOR signaling in cancer
- Polyamine Metabolism and Applications
- RNA Research and Splicing
Papers in
-
- Fungal and yeast genetics research 19
- PI3K/AKT/mTOR signaling in cancer 12
- Polyamine Metabolism and Applications 4
- Signaling Pathways in Disease 3
-
- Fungal Plant Pathogen Control 4
- Co-authors
- Mordechai Choder (3 shared papers)Martin Kupiec (13 shared papers)Adiel Cohen (10 shared papers)Peter A. Fantes (2 shared papers)Dana Laor Bar‐Yosef (5 shared papers)Y. Koltin (1 shared paper)J. Creanor (1 shared paper)R. Nicholas Laribee (1 shared paper)
- Journals
- Journal of Biological Chemistry (7 papers)PLoS Genetics (2 papers)Genetics (2 papers)Molecular and Cellular Biology (2 papers)Yeast (1 paper)
- Partner nations
- IsraelUnited KingdomUnited States
In The Last Decade
Ronit Weisman
25 papers receiving 934 citations
Peers
Comparison fields: 5 of 54
- Aging 56
- Molecular Biology 871
- Cell Biology 132
- Pharmacology 109
- Plant Science 151
Countries citing papers authored by Ronit Weisman
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
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.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 169 | |
| 2 | 2006 | 96 | |
| 3 | 2004 | 69 | |
| 4 | 1998 | 56 | |
| 5 | 1997 | 54 | |
| 6 | 2009 | 50 | |
| 7 | 1996 | 48 | |
| 8 | 2001 | 43 | |
| 9 | 2016 | 41 | |
| 10 | 2014 | 38 | |
| 11 | 2015 | 31 | |
| 12 | 2014 | 28 | |
| 13 | 2013 | 26 | |
| 14 | 2020 | 25 | |
| 15 | 2016 | 24 | |
| 16 | 2004 | 23 | |
| 17 | 2018 | 21 | |
| 18 | 2019 | 20 | |
| 19 | 2013 | 19 | |
| 20 | 2014 | 17 |
About Ronit Weisman
Ronit Weisman is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Plant Science, Pharmacology and Cell Biology, having authored 25 papers that have together received 938 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (19 papers), PI3K/AKT/mTOR signaling in cancer (12 papers), Plant Molecular Biology Research (4 papers), Fungal Plant Pathogen Control (4 papers), Polyamine Metabolism and Applications (4 papers), Microtubule and mitosis dynamics (3 papers), Signaling Pathways in Disease (3 papers) and Fungal Biology and Applications (3 papers). The work is most often cited by research in Aging (56 citations), Molecular Biology (871 citations), Cell Biology (132 citations), Pharmacology (109 citations) and Plant Science (151 citations). Ronit Weisman has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Mordechai Choder, Martin Kupiec, Adiel Cohen, Peter A. Fantes, Dana Laor Bar‐Yosef, Y. Koltin, J. Creanor, R. Nicholas Laribee, Shaun Mackie and Itaru Samejima. Their work appears in journals such as Journal of Biological Chemistry, PLoS Genetics, Genetics, Molecular and Cellular Biology and Yeast.
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.