Kaushik Sengupta
- Molecular Biology top 10%
- Cell Biology top 5%
- Management Information Systems top 5%
- Strategy and Management top 5%
- Physiology
- Co-authors
- Robert D. GoldmanDale K. ShumakerLiliana SolimandoTakeshi ShimiKatrin PfleghaarThomas DechatLori S. CookDaniel R. Heiser
- Topics
- Nuclear Structure and Function (23 papers)RNA Research and Splicing (16 papers)Genomics and Chromatin Dynamics (7 papers)
- Partner nations
- IndiaUnited StatesPhilippines
In The Last Decade
Kaushik Sengupta
33 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 1.1k
- Cell Biology 267
- Management Information Systems 225
- Strategy and Management 182
- Physiology 83
Countries citing papers authored by Kaushik Sengupta
This map shows the geographic impact of Kaushik Sengupta'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 Kaushik Sengupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaushik Sengupta more than expected).
Fields of papers citing papers by Kaushik Sengupta
This network shows the impact of papers produced by Kaushik Sengupta. 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 Kaushik Sengupta. The network helps show where Kaushik Sengupta may publish in the future.
Co-authorship network of co-authors of Kaushik Sengupta
This figure shows the co-authorship network connecting the top 25 collaborators of Kaushik Sengupta. A scholar is included among the top collaborators of Kaushik Sengupta 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 Kaushik Sengupta. Kaushik Sengupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 28 | |
| 7 | 8 | |
| 8 | 9 | |
| 9 | 12 | |
| 10 | 13 | |
| 11 | 9 | |
| 12 | 17 | |
| 13 | 16 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 31 | |
| 17 | 41 | |
| 18 | Nuclear lamins: major factors in the structural organization and function of the nucleus and chromatinbreakdown → | 752 |
| 19 | Employee and Organizational Perspectives of Service Quality: A Cross-Cultural Study in Kuwait, United States and Saudi Arabia | 8 |
| 20 | 58 |
About Kaushik Sengupta
Kaushik Sengupta is a scholar working on Cell Biology, Organizational Behavior and Human Resource Management and Molecular Biology, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nuclear Structure and Function (23 papers), RNA Research and Splicing (16 papers) and Genomics and Chromatin Dynamics (7 papers). The work is most often cited by research in Management Information Systems (225 citations), Cell Biology (267 citations) and Molecular Biology (1.1k citations). Kaushik Sengupta has collaborated with scholars based in India, United States and Philippines. Frequent co-authors include Robert D. Goldman, Dale K. Shumaker, Liliana Solimando, Takeshi Shimi, Katrin Pfleghaar, Thomas Dechat, Lori S. Cook, Daniel R. Heiser, Stephen A. Adam and Dipak Dasgupta. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Genes & Development.
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.