Narendra Narayana
- Molecular Biology top 10%
- Materials Chemistry
- Computational Theory and Mathematics top 5%
- Genetics
- Organic Chemistry
- Co-authors
- Michael A. WeissSusan S. TaylorNguyen‐Huu XuongSarah CoxLynn F. Ten EyckShmuel ShaltielPhilippe H. HünenbergerElizabeth E. Howell
- Topics
- Enzyme Structure and Function (10 papers)Biochemical and Molecular Research (6 papers)Protein Structure and Dynamics (4 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Chemical PhysicsJournal of Molecular Biology
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Narendra Narayana
23 papers receiving 871 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 701
- Materials Chemistry 207
- Computational Theory and Mathematics 80
- Genetics 70
- Organic Chemistry 64
Countries citing papers authored by Narendra Narayana
This map shows the geographic impact of Narendra Narayana'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 Narendra Narayana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narendra Narayana more than expected).
Fields of papers citing papers by Narendra Narayana
This network shows the impact of papers produced by Narendra Narayana. 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 Narendra Narayana. The network helps show where Narendra Narayana may publish in the future.
Co-authorship network of co-authors of Narendra Narayana
This figure shows the co-authorship network connecting the top 25 collaborators of Narendra Narayana. A scholar is included among the top collaborators of Narendra Narayana 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 Narendra Narayana. Narendra Narayana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 65 | |
| 2 | 40 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 38 | |
| 8 | 16 | |
| 9 | 24 | |
| 10 | 40 | |
| 11 | 39 | |
| 12 | 60 | |
| 13 | 79 | |
| 14 | 105 | |
| 15 | 2 | |
| 16 | 105 | |
| 17 | 90 | |
| 18 | 10 | |
| 19 | 59 | |
| 20 | 39 |
About Narendra Narayana
Narendra Narayana is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics, having authored 23 papers that have together received 888 indexed citations. Recurring topics across this work include Enzyme Structure and Function (10 papers), Biochemical and Molecular Research (6 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Molecular Biology (701 citations), Computational Theory and Mathematics (80 citations) and Materials Chemistry (207 citations). Narendra Narayana has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Michael A. Weiss, Susan S. Taylor, Nguyen‐Huu Xuong, Sarah Cox, Lynn F. Ten Eyck, Shmuel Shaltiel, Philippe H. Hünenberger, Elizabeth E. Howell, J. Andrew McCammon and David A. Matthews. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Journal of Molecular Biology.
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.