Narmada Thanki
- Molecular Biology top 1%
- Plant Science top 1%
- Ecology top 2%
- Materials Chemistry top 5%
- Genetics top 5%
- Co-authors
- Noreen R. GonzalesChanjuan ZhengAron Marchler‐BauerRoxanne A. YamashitaDachuan ZhangGabriele H. MarchlerFarideh ChitsazMarc Gwadz
- Topics
- Protein Structure and Dynamics (11 papers)Enzyme Structure and Function (10 papers)Erythrocyte Function and Pathophysiology (6 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Narmada Thanki
33 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 5.6k
- Plant Science 2.2k
- Ecology 863
- Materials Chemistry 768
- Genetics 694
Countries citing papers authored by Narmada Thanki
This map shows the geographic impact of Narmada Thanki'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 Narmada Thanki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narmada Thanki more than expected).
Fields of papers citing papers by Narmada Thanki
This network shows the impact of papers produced by Narmada Thanki. 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 Narmada Thanki. The network helps show where Narmada Thanki may publish in the future.
Co-authorship network of co-authors of Narmada Thanki
This figure shows the co-authorship network connecting the top 25 collaborators of Narmada Thanki. A scholar is included among the top collaborators of Narmada Thanki 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 Narmada Thanki. Narmada Thanki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The conserved domain database in 2023breakdown → | 531 |
| 2 | CDD: NCBI's conserved domain databasebreakdown → | 2624 |
| 3 | CDD: conserved domains and protein three-dimensional structurebreakdown → | 714 |
| 4 | 33 | |
| 5 | The Protein Data Bank (PDB) | NIST | 4 |
| 6 | The Protein Data Bankbreakdown → | 2025 |
| 7 | The PDB Data Uniformity Project | NIST | 1 |
| 8 | 12 | |
| 9 | 43 | |
| 10 | 47 | |
| 11 | 22 | |
| 12 | 10 | |
| 13 | 31 | |
| 14 | 17 | |
| 15 | 60 | |
| 16 | 9 | |
| 17 | 22 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 194 |
About Narmada Thanki
Narmada Thanki is a scholar working on Virology, Spectroscopy and Molecular Biology, having authored 33 papers that have together received 8.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), Enzyme Structure and Function (10 papers) and Erythrocyte Function and Pathophysiology (6 papers). The work is most often cited by research in Molecular Biology (5.6k citations), Endocrinology (315 citations) and Plant Science (2.2k citations). Narmada Thanki has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Noreen R. Gonzales, Chanjuan Zheng, Aron Marchler‐Bauer, Roxanne A. Yamashita, Dachuan Zhang, Gabriele H. Marchler, Farideh Chitsaz, Marc Gwadz, Christopher J. Lanczycki and Shennan Lu. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry 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.