Malay Kumar Rana
- Materials Chemistry
- Molecular Biology
- Inorganic Chemistry top 5%
- Infectious Diseases top 10%
- Organic Chemistry top 10%
- Co-authors
- Parth Sarthi Sen GuptaSaroj Kumar PandaAmalendu ChandraDonald J. SiegelSuprabhat MukherjeeNabarun Chandra DasAntek G. Wong‐FoyJagannath Panda
- Topics
- Computational Drug Discovery Methods (11 papers)Metal-Organic Frameworks: Synthesis and Applications (11 papers)vaccines and immunoinformatics approaches (8 papers)
- Journals
- The Journal of Chemical PhysicsACS Applied Materials & InterfacesThe Journal of Physical Chemistry C
- Partner nations
- IndiaUnited StatesBelgium
In The Last Decade
Malay Kumar Rana
55 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 110
- Materials Chemistry 336
- Molecular Biology 310
- Inorganic Chemistry 299
- Infectious Diseases 238
- Organic Chemistry 157
Countries citing papers authored by Malay Kumar Rana
This map shows the geographic impact of Malay Kumar Rana'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 Malay Kumar Rana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malay Kumar Rana more than expected).
Fields of papers citing papers by Malay Kumar Rana
This network shows the impact of papers produced by Malay Kumar Rana. 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 Malay Kumar Rana. The network helps show where Malay Kumar Rana may publish in the future.
Co-authorship network of co-authors of Malay Kumar Rana
This figure shows the co-authorship network connecting the top 25 collaborators of Malay Kumar Rana. A scholar is included among the top collaborators of Malay Kumar Rana 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 Malay Kumar Rana. Malay Kumar Rana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 33 | |
| 12 | 4 | |
| 13 | 45 | |
| 14 | 21 | |
| 15 | 36 | |
| 16 | 41 | |
| 17 | 29 | |
| 18 | 3 | |
| 19 | 41 | |
| 20 | 30 |
About Malay Kumar Rana
Malay Kumar Rana is a scholar working on Virology, Infectious Diseases and Inorganic Chemistry, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Metal-Organic Frameworks: Synthesis and Applications (11 papers) and vaccines and immunoinformatics approaches (8 papers). The work is most often cited by research in Inorganic Chemistry (299 citations), Infectious Diseases (238 citations) and Computational Theory and Mathematics (133 citations). Malay Kumar Rana has collaborated with scholars based in India, United States and Belgium. Frequent co-authors include Parth Sarthi Sen Gupta, Saroj Kumar Panda, Amalendu Chandra, Donald J. Siegel, Suprabhat Mukherjee, Nabarun Chandra Das, Antek G. Wong‐Foy, Jagannath Panda, Ritwik Patra and Siddhartha Panda. Their work appears in journals such as The Journal of Chemical Physics, ACS Applied Materials & Interfaces and The Journal of Physical Chemistry C.
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.