Ron R. Kopito
- Cell Biology top 0.02%
- Endoplasmic Reticulum Stress and Disease 29
- Cellular transport and secretion 14
- Aging top 0.5%
- Cellular and Molecular Neuroscience top 0.2%
- Genetic Neurodegenerative Diseases 22
- Molecular Biology top 0.1%
- Ubiquitin and proteasome pathways 38
- Neurology top 0.2%
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- Erythrocyte Function and Pathophysiology 21
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- Cystic Fibrosis Research Advances 18
- Neonatal Respiratory Health Research 12
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- Autophagy in Disease and Therapy 14
- Co-authors
- Cristina L. WardJennifer JohnstonNeil BenceHarvey F. LodishSatoshi ŌMURAJohn C. ChristiansonJudith FrydmanJames A. Olzmann
- 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
- Cell Biology 7.3k
- Aging 406
- Cellular and Molecular Neuroscience 3.9k
- Molecular Biology 14.6k
- Neurology 2.5k
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
The 25 scholars most cited alongside Ron R. Kopito, 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 | 2025 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 38 | |
| 4 | 2019 | 130 | |
| 5 | 2017 | 31 | |
| 6 | 2012 | 131 | |
| 7 | 2012 | 74 | |
| 8 | 2012 | 63 | |
| 9 | 2011 | 18 | |
| 10 | 2008 | 15 | |
| 11 | Misfolded proteins partition between two distinct quality control compartmentsbreakdown → | 2008 | 747 |
| 12 | 2007 | 83 | |
| 13 | 2006 | 274 | |
| 14 | 2005 | 260 | |
| 15 | 2002 | 12 | |
| 16 | 2002 | 69 | |
| 17 | 1996 | 19 | |
| 18 | Glycerol Reverses the Misfolding Phenotype of the Most Common Cystic Fibrosis Mutationbreakdown → | 1996 | 439 |
| 19 | 1995 | 34 | |
| 20 | 1995 | 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), Genetic Neurodegenerative Diseases (22 papers), Erythrocyte Function and Pathophysiology (21 papers), Cystic Fibrosis Research Advances (18 papers), Cellular transport and secretion (14 papers), Autophagy in Disease and Therapy (14 papers) and Neonatal Respiratory Health Research (12 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.