Ranabir Das
Impact in
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- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Protein Structure and Dynamics
- CRISPR and Genetic Engineering
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
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- Ubiquitin and proteasome pathways 20
- Protein Structure and Dynamics 6
- Glycosylation and Glycoproteins Research 4
- RNA and protein synthesis mechanisms 4
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- Autophagy in Disease and Therapy 5
- Co-authors
- R. Andrew Byrd (8 shared papers)Jess Li (6 shared papers)Allan M. Weissman (4 shared papers)Xinhua Ji (3 shared papers)Jennifer Mariano (3 shared papers)Jayant B. Udgaonkar (4 shared papers)Sergey G. Tarasov (4 shared papers)Zlatka Kostova (2 shared papers)
- Journals
- Protein Science (4 papers)Journal of Biological Chemistry (4 papers)Journal of Molecular Biology (3 papers)eLife (3 papers)Structure (2 papers)
- Partner nations
- IndiaUnited StatesIsrael
In The Last Decade
Ranabir Das
37 papers receiving 760 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 662
- Cell Biology 135
- Oncology 132
- Genetics 125
- Neurology 31
Countries citing papers authored by Ranabir Das
This map shows the geographic impact of Ranabir Das'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 Ranabir Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranabir Das more than expected).
Fields of papers citing papers by Ranabir Das
This network shows the impact of papers produced by Ranabir Das. 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 Ranabir Das. The network helps show where Ranabir Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Ranabir Das, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 141 | |
| 2 | 2013 | 77 | |
| 3 | 2013 | 64 | |
| 4 | 2011 | 49 | |
| 5 | 2012 | 47 | |
| 6 | 2019 | 44 | |
| 7 | 2015 | 40 | |
| 8 | 2012 | 28 | |
| 9 | 2017 | 25 | |
| 10 | 2017 | 24 | |
| 11 | 2007 | 21 | |
| 12 | 2020 | 17 | |
| 13 | 2019 | 17 | |
| 14 | 2020 | 14 | |
| 15 | 2020 | 13 | |
| 16 | 2020 | 13 | |
| 17 | 2017 | 13 | |
| 18 | 2019 | 13 | |
| 19 | 2017 | 12 | |
| 20 | 2016 | 11 |
About Ranabir Das
Ranabir Das is a scholar working on Molecular Biology, Epidemiology, Materials Chemistry, Oncology and Cell Biology, having authored 40 papers that have together received 763 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (20 papers), Enzyme Structure and Function (8 papers), Protein Structure and Dynamics (6 papers), Autophagy in Disease and Therapy (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Glycosylation and Glycoproteins Research (4 papers), Cancer-related Molecular Pathways (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Molecular Biology (662 citations), Cell Biology (135 citations), Oncology (132 citations), Genetics (125 citations) and Neurology (31 citations). Ranabir Das has collaborated with scholars based in India, United States and Israel. Frequent co-authors include R. Andrew Byrd, Jess Li, Allan M. Weissman, Xinhua Ji, Jennifer Mariano, Jayant B. Udgaonkar, Sergey G. Tarasov, Zlatka Kostova, Yu‐He Liang and Amanda S. Altieri. Their work appears in journals such as Protein Science, Journal of Biological Chemistry, Journal of Molecular Biology, eLife and Structure.
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.