Chakra S. Chennubhotla
- Sensory Systems top 5%
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- Protein Structure and Dynamics 8
- RNA and protein synthesis mechanisms 3
- Microbial Metabolic Engineering and Bioproduction 1
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- Mass Spectrometry Techniques and Applications 4
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- Force Microscopy Techniques and Applications 2
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- Computational Drug Discovery Methods 2
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- Data-Driven Disease Surveillance 2
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- Enzyme Structure and Function 2
- Co-authors
- Arvind RamanathanPratul K. AgarwalAndrej SavolJason B. CastroVirginia BurgerChristopher J. LangmeadDonald GagnéNicolas Doucet
- Journals
- PLoS ONE (2 papers)Journal of Chemical Theory and Computation (1 paper)Accounts of Chemical Research (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Chakra S. Chennubhotla
14 papers receiving 373 citations
Peers
Comparison fields: 5 of 83
- Sensory Systems 78
- Molecular Biology 235
- Cellular and Molecular Neuroscience 35
- Nutrition and Dietetics 28
- Experimental and Cognitive Psychology 22
Countries citing papers authored by Chakra S. Chennubhotla
This map shows the geographic impact of Chakra S. Chennubhotla'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 Chakra S. Chennubhotla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chakra S. Chennubhotla more than expected).
Fields of papers citing papers by Chakra S. Chennubhotla
This network shows the impact of papers produced by Chakra S. Chennubhotla. 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 Chakra S. Chennubhotla. The network helps show where Chakra S. Chennubhotla may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chakra S. Chennubhotla, 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 | 2019 | 20 | |
| 2 | 2018 | 36 | |
| 3 | 2015 | 1 | |
| 4 | 2015 | 3 | |
| 5 | 2015 | 10 | |
| 6 | 2014 | 6 | |
| 7 | 2013 | 103 | |
| 8 | 2013 | 83 | |
| 9 | 2012 | 28 | |
| 10 | 2012 | 12 | |
| 11 | 2011 | 5 | |
| 12 | 2011 | 50 | |
| 13 | 2011 | 16 | |
| 14 | 2011 | 8 |
About Chakra S. Chennubhotla
Chakra S. Chennubhotla is a scholar working on Spectroscopy, Sensory Systems, Molecular Biology, Computational Theory and Mathematics and Geometry and Topology, having authored 14 papers that have together received 381 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Mass Spectrometry Techniques and Applications (4 papers), RNA and protein synthesis mechanisms (3 papers), Force Microscopy Techniques and Applications (2 papers), Computational Drug Discovery Methods (2 papers), Data-Driven Disease Surveillance (2 papers), Enzyme Structure and Function (2 papers) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Sensory Systems (78 citations), Molecular Biology (235 citations), Cellular and Molecular Neuroscience (35 citations), Nutrition and Dietetics (28 citations) and Experimental and Cognitive Psychology (22 citations). Chakra S. Chennubhotla has collaborated with scholars based in United States and Canada. Frequent co-authors include Arvind Ramanathan, Pratul K. Agarwal, Andrej Savol, Jason B. Castro, Virginia Burger, Christopher J. Langmead, Donald Gagné, Nicolas Doucet, Khushboo Bafna and Chitra Narayanan. Their work appears in journals such as PLoS ONE, Journal of Chemical Theory and Computation, Accounts of Chemical Research, Proteins Structure Function and Bioinformatics and Frontiers in Public Health.
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.