Jayprokas Chakrabarti
- Molecular Biology top 5%
- Cancer Research top 1%
- Immunology
- Infectious Diseases
- Nuclear and High Energy Physics top 10%
- Co-authors
- Suman GhosalShaoli DasRituparno SenZhumur GhoshBibekanand MallickPiyali BasakMarko PopovicRabindra N. Mohapatra
- Topics
- MicroRNA in disease regulation (15 papers)RNA and protein synthesis mechanisms (14 papers)Quantum Chromodynamics and Particle Interactions (13 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Jayprokas Chakrabarti
59 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 1.3k
- Cancer Research 1.1k
- Immunology 124
- Infectious Diseases 111
- Nuclear and High Energy Physics 96
Countries citing papers authored by Jayprokas Chakrabarti
This map shows the geographic impact of Jayprokas Chakrabarti'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 Jayprokas Chakrabarti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayprokas Chakrabarti more than expected).
Fields of papers citing papers by Jayprokas Chakrabarti
This network shows the impact of papers produced by Jayprokas Chakrabarti. 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 Jayprokas Chakrabarti. The network helps show where Jayprokas Chakrabarti may publish in the future.
Co-authorship network of co-authors of Jayprokas Chakrabarti
This figure shows the co-authorship network connecting the top 25 collaborators of Jayprokas Chakrabarti. A scholar is included among the top collaborators of Jayprokas Chakrabarti 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 Jayprokas Chakrabarti. Jayprokas Chakrabarti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 7 | |
| 3 | 40 | |
| 4 | 17 | |
| 5 | 141 | |
| 6 | 91 | |
| 7 | 394 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 18 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 28 | |
| 14 | 30 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 14 | |
| 18 | Lattice Bosons | 1 |
| 19 | Self-Similarity and Scaling Exponent for DNA Walk Model in Two and Four Dimensions | 2 |
| 20 | Detection and estimation of dithane Z-78 in foliages | 4 |
About Jayprokas Chakrabarti
Jayprokas Chakrabarti is a scholar working on Nuclear and High Energy Physics, Cancer Research and Condensed Matter Physics, having authored 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), RNA and protein synthesis mechanisms (14 papers) and Quantum Chromodynamics and Particle Interactions (13 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (1.3k citations) and Nuclear and High Energy Physics (96 citations). Jayprokas Chakrabarti has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Suman Ghosal, Shaoli Das, Rituparno Sen, Zhumur Ghosh, Bibekanand Mallick, Piyali Basak, Marko Popovic, Rabindra N. Mohapatra, Sudhanshu Vrati and Arup Banerjee. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.
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.