Chakra Chennubhotla
- Molecular Biology top 10%
- Materials Chemistry top 10%
- Computational Theory and Mathematics top 2%
- Cell Biology top 10%
- Spectroscopy top 10%
- Co-authors
- İvet BaharDror TobiLee‐Wei YangA.J. RaderEran EyalTimothy R. LezonZheng Rong YangWenzhi Mao
- Topics
- Protein Structure and Dynamics (15 papers)Enzyme Structure and Function (8 papers)Computational Drug Discovery Methods (4 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Chakra Chennubhotla
32 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 1.2k
- Materials Chemistry 369
- Computational Theory and Mathematics 227
- Cell Biology 149
- Spectroscopy 139
Countries citing papers authored by Chakra Chennubhotla
This map shows the geographic impact of Chakra 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 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 Chennubhotla more than expected).
Fields of papers citing papers by Chakra Chennubhotla
This network shows the impact of papers produced by Chakra 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 Chennubhotla. The network helps show where Chakra Chennubhotla may publish in the future.
Co-authorship network of co-authors of Chakra Chennubhotla
This figure shows the co-authorship network connecting the top 25 collaborators of Chakra Chennubhotla. A scholar is included among the top collaborators of Chakra Chennubhotla based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chakra Chennubhotla. Chakra Chennubhotla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 14 | |
| 3 | 55 | |
| 4 | 24 | |
| 5 | 173 | |
| 6 | Spectral Clustering Strategies for Heterogeneous Disease Data. | 2 |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 91 | |
| 10 | 112 | |
| 11 | 199 | |
| 12 | 5 | |
| 13 | 66 | |
| 14 | 256 | |
| 15 | 19 | |
| 16 | 144 | |
| 17 | Hierarchical Eigensolver for Transition Matrices in Spectral Methods | 13 |
| 18 | Half-Lives of EigenFlows for Spectral Clustering | 11 |
| 19 | 1 | |
| 20 | 33 |
About Chakra Chennubhotla
Chakra Chennubhotla is a scholar working on Structural Biology, Health Informatics and Biophysics, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), Enzyme Structure and Function (8 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Computational Theory and Mathematics (227 citations) and Structural Biology (16 citations). Chakra Chennubhotla has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include İvet Bahar, Dror Tobi, Lee‐Wei Yang, A.J. Rader, Eran Eyal, Timothy R. Lezon, Zheng Rong Yang, Wenzhi Mao, Ahmet Bakan and Ying Liu. Their work appears in journals such as Journal of Clinical Oncology, Bioinformatics and Clinical Cancer Research.
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.