Rivka L. Isaacson
- Genetics top 2%
- Bacterial Genetics and Biotechnology 6
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease 10
- Cellular transport and secretion 3
- Molecular Biology top 10%
- Protein Structure and Dynamics 8
- RNA and protein synthesis mechanisms 6
- Ubiquitin and proteasome pathways 5
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- Enzyme Structure and Function 11
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- Bacteriophages and microbial interactions 3
- Co-authors
- Gene KopenDonald G. PhinneyDarwin J. ProckopPaul S. FreemontXiaodong ZhangStephen MatthewsP. J. SimpsonE. Krysztofinska
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of the American Chemical Society (3 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Rivka L. Isaacson
31 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Genetics 381
- Cell Biology 474
- Molecular Biology 969
- Developmental Neuroscience 29
- Aging 11
Countries citing papers authored by Rivka L. Isaacson
This map shows the geographic impact of Rivka L. Isaacson'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 Rivka L. Isaacson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rivka L. Isaacson more than expected).
Fields of papers citing papers by Rivka L. Isaacson
This network shows the impact of papers produced by Rivka L. Isaacson. 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 Rivka L. Isaacson. The network helps show where Rivka L. Isaacson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rivka L. Isaacson, 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 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2021 | 48 | |
| 4 | 2019 | 0 | |
| 5 | 2018 | 18 | |
| 6 | 2018 | 10 | |
| 7 | 2018 | 11 | |
| 8 | 2017 | 18 | |
| 9 | 2016 | 10 | |
| 10 | 2016 | 27 | |
| 11 | 2016 | 27 | |
| 12 | 2015 | 19 | |
| 13 | 2013 | 40 | |
| 14 | 2012 | 5 | |
| 15 | 2010 | 31 | |
| 16 | 2007 | 56 | |
| 17 | 2006 | 86 | |
| 18 | 2005 | 83 | |
| 19 | 2002 | 61 | |
| 20 | 1999 | 45 |
About Rivka L. Isaacson
Rivka L. Isaacson is a scholar working on Cell Biology, Molecular Biology and Materials Chemistry, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (11 papers), Endoplasmic Reticulum Stress and Disease (10 papers), Protein Structure and Dynamics (8 papers), Bacterial Genetics and Biotechnology (6 papers), RNA and protein synthesis mechanisms (6 papers), Ubiquitin and proteasome pathways (5 papers), Bacteriophages and microbial interactions (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Genetics (381 citations), Cell Biology (474 citations) and Molecular Biology (969 citations). Rivka L. Isaacson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Gene Kopen, Donald G. Phinney, Darwin J. Prockop, Paul S. Freemont, Xiaodong Zhang, Stephen Matthews, P. J. Simpson, E. Krysztofinska, Valerie E. Pye and Sunghyouk Park. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.