Rama Ranganathan
- Molecular Biology top 0.5%
- Protein Structure and Dynamics 24
- RNA and protein synthesis mechanisms 12
- Photosynthetic Processes and Mechanisms 6
- Microbial Metabolic Engineering and Bioproduction 6
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- Neurobiology and Insect Physiology Research 9
- Photoreceptor and optogenetics research 8
- Biophysics top 1%
- Genetics top 1%
- Evolution and Genetic Dynamics 8
- Aging top 5%
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- Enzyme Structure and Function 11
- Co-authors
- Steve W. LocklessMichael SocolichMark A. WallWilliam P. RussOlivier RivoireCharles S. ZukerGürol M. SüelRichard N. McLaughlin
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Rama Ranganathan
88 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 7.2k
- Cellular and Molecular Neuroscience 1.6k
- Biophysics 284
- Genetics 1.3k
- Aging 72
Countries citing papers authored by Rama Ranganathan
This map shows the geographic impact of Rama Ranganathan'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 Rama Ranganathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rama Ranganathan more than expected).
Fields of papers citing papers by Rama Ranganathan
This network shows the impact of papers produced by Rama Ranganathan. 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 Rama Ranganathan. The network helps show where Rama Ranganathan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rama Ranganathan, 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 | 2024 | 2 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2020 | 166 | |
| 7 | 2017 | 70 | |
| 8 | 2017 | 10 | |
| 9 | 2016 | 71 | |
| 10 | 2016 | 101 | |
| 11 | 2016 | 7 | |
| 12 | 2012 | 336 | |
| 13 | 2011 | 275 | |
| 14 | CYP17 (T34C), CYP19 (Trp39Arg), and FGFR2 (C906T) polymorphisms and the risk of breast cancer in south Indian women. | 2009 | 14 |
| 15 | 2008 | 275 | |
| 16 | 2006 | 69 | |
| 17 | 2005 | 323 | |
| 18 | 2000 | 272 | |
| 19 | 1997 | 130 | |
| 20 | 1996 | 252 |
About Rama Ranganathan
Rama Ranganathan is a scholar working on Endocrine and Autonomic Systems, Molecular Biology and Cellular and Molecular Neuroscience, having authored 91 papers that have together received 9.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (24 papers), RNA and protein synthesis mechanisms (12 papers), Enzyme Structure and Function (11 papers), Neurobiology and Insect Physiology Research (9 papers), Photoreceptor and optogenetics research (8 papers), Evolution and Genetic Dynamics (8 papers), Photosynthetic Processes and Mechanisms (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). The work is most often cited by research in Molecular Biology (7.2k citations), Cellular and Molecular Neuroscience (1.6k citations) and Biophysics (284 citations). Rama Ranganathan has collaborated with scholars based in United States, India and France. Frequent co-authors include Steve W. Lockless, Michael Socolich, Mark A. Wall, William P. Russ, Olivier Rivoire, Charles S. Zuker, Gürol M. Süel, Richard N. McLaughlin, Stanislas Leibler and Kun Ping Lu.
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.