M. Michael Gromiha
- Molecular Biology top 0.5%
- Materials Chemistry top 2%
- Computational Theory and Mathematics top 0.5%
- Genetics top 2%
- Spectroscopy top 2%
- Co-authors
- S. SelvarajShandar AhmadAkinori SaraiDietmar SchomburgVijaya ParthibanMakiko SuwaGajendra P. S. RaghavaManish Kumar
- Topics
- Protein Structure and Dynamics (187 papers)RNA and protein synthesis mechanisms (134 papers)Enzyme Structure and Function (93 papers)
- Journals
- Journal of the American Chemical SocietyNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- IndiaJapanUnited States
In The Last Decade
M. Michael Gromiha
328 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Molecular Biology 8.4k
- Materials Chemistry 2.1k
- Computational Theory and Mathematics 1.1k
- Genetics 719
- Spectroscopy 482
Countries citing papers authored by M. Michael Gromiha
This map shows the geographic impact of M. Michael Gromiha'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 M. Michael Gromiha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Michael Gromiha more than expected).
Fields of papers citing papers by M. Michael Gromiha
This network shows the impact of papers produced by M. Michael Gromiha. 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 M. Michael Gromiha. The network helps show where M. Michael Gromiha may publish in the future.
Co-authorship network of co-authors of M. Michael Gromiha
This figure shows the co-authorship network connecting the top 25 collaborators of M. Michael Gromiha. A scholar is included among the top collaborators of M. Michael Gromiha 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 M. Michael Gromiha. M. Michael Gromiha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 4 | |
| 12 | 16 | |
| 13 | 4 | |
| 14 | 148 | |
| 15 | 31 | |
| 16 | Intelligent Computing in Bioinformatics: 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014, Proceedings | 3 |
| 17 | 31 | |
| 18 | 102 | |
| 19 | Recent research developments in protein folding stability & design | 3 |
| 20 | 2 |
About M. Michael Gromiha
M. Michael Gromiha is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry, having authored 339 papers that have together received 10.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (187 papers), RNA and protein synthesis mechanisms (134 papers) and Enzyme Structure and Function (93 papers). The work is most often cited by research in Molecular Biology (8.4k citations), Computational Theory and Mathematics (1.1k citations) and Materials Chemistry (2.1k citations). M. Michael Gromiha has collaborated with scholars based in India, Japan and United States. Frequent co-authors include S. Selvaraj, Shandar Ahmad, Akinori Sarai, Dietmar Schomburg, Vijaya Parthiban, Makiko Suwa, Gajendra P. S. Raghava, Manish Kumar, P. K. Ponnuswamy and Motohisa Oobatake. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.
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.