Ron Richman
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Molecular Biology top 5%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- Ubiquitin and proteasome pathways 2
- Epigenetics and DNA Methylation 2
- 14-3-3 protein interactions 1
- Insect Resistance and Genetics 1
- Genetics 3
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Yolanda Sánchez (1 shared paper)Richard S. Thoma (1 shared paper)Calvin Wong (1 shared paper)Helen Piwnica‐Worms (1 shared paper)Stephen J. Elledge (1 shared paper)Zhiqi Wu (1 shared paper)Mitzi I. Kuroda (3 shared papers)Richard L. Kelley (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Cell (1 paper)Mechanisms of Development (1 paper)Developmental Biology (1 paper)Science (1 paper)
- Partner nations
- United States
In The Last Decade
Ron Richman
6 papers receiving 1.9k citations
Ron Richman's Hit Papers
Peers
Comparison fields: 5 of 83
- Cell Biology 450
- Molecular Biology 1.7k
- Genetics 565
- Oncology 487
- Cancer Research 155
Countries citing papers authored by Ron Richman
This map shows the geographic impact of Ron Richman'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 Ron Richman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ron Richman more than expected).
Fields of papers citing papers by Ron Richman
This network shows the impact of papers produced by Ron Richman. 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 Ron Richman. The network helps show where Ron Richman may publish in the future.
Co-authors
The 24 scholars most cited alongside Ron Richman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Conservation of the Chk1 Checkpoint Pathway in Mammals: Linkage of DNA Damage to Cdk Regulation Through Cdc25 Hit paper breakdown → | 1997 | 1109 |
| 2 | 2005 | 395 | |
| 3 | 1995 | 273 | |
| 4 | 1998 | 108 | |
| 5 | 1995 | 64 | |
| 6 | 1985 | 22 |
About Ron Richman
Ron Richman is a scholar working on Molecular Biology, Genetics, Cell Biology, Ecology and Environmental Chemistry, having authored 6 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Ubiquitin and proteasome pathways (2 papers), Epigenetics and DNA Methylation (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), 14-3-3 protein interactions (1 paper), Microtubule and mitosis dynamics (1 paper) and Insect Resistance and Genetics (1 paper). The work is most often cited by research in Cell Biology (450 citations), Molecular Biology (1.7k citations), Genetics (565 citations), Oncology (487 citations) and Cancer Research (155 citations). Ron Richman has collaborated with scholars based in United States. Frequent co-authors include Yolanda Sánchez, Richard S. Thoma, Calvin Wong, Helen Piwnica‐Worms, Stephen J. Elledge, Zhiqi Wu, Mitzi I. Kuroda, Richard L. Kelley, Irina Solovyeva and Victor Solovyev. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell, Mechanisms of Development, Developmental Biology and Science.
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.