Urmi Doshi
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Signaling Pathways in Disease
- RNA and protein synthesis mechanisms
- Receptor Mechanisms and Signaling
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- Advanced Physical and Chemical Molecular Interactions
Papers in
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- Protein Structure and Dynamics 17
- RNA and protein synthesis mechanisms 1
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- Advanced Physical and Chemical Molecular Interactions 2
- Co-authors
- Donald Hamelberg (12 shared papers)Víctor Muñoz (6 shared papers)Athi N. Naganathan (2 shared papers)Elan Zohar Eisenmesser (1 shared paper)Michael Holliday (1 shared paper)David De Sancho (1 shared paper)Mourad Sadqi (1 shared paper)Yao Xin (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (3 papers)The Journal of Physical Chemistry B (2 papers)Journal of the American Chemical Society (2 papers)Biochemistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesSpain
In The Last Decade
Urmi Doshi
19 papers receiving 869 citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 744
- Physical and Theoretical Chemistry 50
- Computational Theory and Mathematics 62
- Physiology 32
- Biophysics 8
Countries citing papers authored by Urmi Doshi
This map shows the geographic impact of Urmi Doshi'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 Urmi Doshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urmi Doshi more than expected).
Fields of papers citing papers by Urmi Doshi
This network shows the impact of papers produced by Urmi Doshi. 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 Urmi Doshi. The network helps show where Urmi Doshi may publish in the future.
Co-authors
The 13 scholars most cited alongside Urmi Doshi, 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 | 2016 | 141 | |
| 2 | 2007 | 110 | |
| 3 | 2006 | 79 | |
| 4 | 2009 | 79 | |
| 5 | 2009 | 70 | |
| 6 | 2012 | 68 | |
| 7 | 2014 | 51 | |
| 8 | 2004 | 48 | |
| 9 | 2004 | 34 | |
| 10 | 2012 | 31 | |
| 11 | 2010 | 27 | |
| 12 | 2015 | 25 | |
| 13 | 2011 | 24 | |
| 14 | 2011 | 24 | |
| 15 | 2010 | 23 | |
| 16 | 2014 | 20 | |
| 17 | 2004 | 18 | |
| 18 | 2013 | 6 | |
| 19 | 2008 | 3 |
About Urmi Doshi
Urmi Doshi is a scholar working on Molecular Biology, Physical and Theoretical Chemistry, Computational Theory and Mathematics, Physiology and Nuclear Energy and Engineering, having authored 19 papers that have together received 881 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), Advanced Physical and Chemical Molecular Interactions (2 papers), RNA and protein synthesis mechanisms (1 paper), Computational Drug Discovery Methods (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Molecular Biology (744 citations), Physical and Theoretical Chemistry (50 citations), Computational Theory and Mathematics (62 citations), Physiology (32 citations) and Biophysics (8 citations). Urmi Doshi has collaborated with scholars based in United States and Spain. Frequent co-authors include Donald Hamelberg, Víctor Muñoz, Athi N. Naganathan, Elan Zohar Eisenmesser, Michael Holliday, David De Sancho, Mourad Sadqi, Yao Xin, Mar Pérez and Fabiana Yolanda Oliva. Their work appears in journals such as Journal of Chemical Theory and Computation, The Journal of Physical Chemistry B, Journal of the American Chemical Society, Biochemistry and Proceedings of the National Academy of Sciences.
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.