Ron R. Kopito
- Molecular Biology top 0.1%
- Cell Biology top 0.02%
- Epidemiology top 0.5%
- Cellular and Molecular Neuroscience top 0.2%
- Physiology top 0.5%
- Co-authors
- Cristina L. WardJennifer JohnstonNeil BenceHarvey F. LodishSatoshi ŌMURAJohn C. ChristiansonJudith FrydmanJames A. Olzmann
- Topics
- Ubiquitin and proteasome pathways (38 papers)Endoplasmic Reticulum Stress and Disease (29 papers)Genetic Neurodegenerative Diseases (22 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Ron R. Kopito
135 papers receiving 22.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 14.6k
- Cell Biology 7.3k
- Epidemiology 4.0k
- Cellular and Molecular Neuroscience 3.9k
- Physiology 3.6k
Countries citing papers authored by Ron R. Kopito
This map shows the geographic impact of Ron R. Kopito'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 R. Kopito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ron R. Kopito more than expected).
Fields of papers citing papers by Ron R. Kopito
This network shows the impact of papers produced by Ron R. Kopito. 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 R. Kopito. The network helps show where Ron R. Kopito may publish in the future.
Co-authorship network of co-authors of Ron R. Kopito
This figure shows the co-authorship network connecting the top 25 collaborators of Ron R. Kopito. A scholar is included among the top collaborators of Ron R. Kopito based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ron R. Kopito. Ron R. Kopito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 38 | |
| 4 | 130 | |
| 5 | 31 | |
| 6 | 131 | |
| 7 | 74 | |
| 8 | 63 | |
| 9 | 18 | |
| 10 | 15 | |
| 11 | Misfolded proteins partition between two distinct quality control compartmentsbreakdown → | 747 |
| 12 | 83 | |
| 13 | 274 | |
| 14 | 260 | |
| 15 | 12 | |
| 16 | 69 | |
| 17 | 19 | |
| 18 | Glycerol Reverses the Misfolding Phenotype of the Most Common Cystic Fibrosis Mutationbreakdown → | 439 |
| 19 | 34 | |
| 20 | 190 |
About Ron R. Kopito
Ron R. Kopito is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 136 papers that have together received 22.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (38 papers), Endoplasmic Reticulum Stress and Disease (29 papers) and Genetic Neurodegenerative Diseases (22 papers). The work is most often cited by research in Cell Biology (7.3k citations), Aging (406 citations) and Cellular and Molecular Neuroscience (3.9k citations). Ron R. Kopito has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Cristina L. Ward, Jennifer Johnston, Neil Bence, Harvey F. Lodish, Satoshi ŌMURA, John C. Christianson, Judith Frydman, James A. Olzmann, Ronald Melki and Thomas A. Shaler. Their work appears in journals such as Nature, Science and Cell.
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.