Chinmay K. Panda
- Co-authors
- Sukta DasSarmistha BanerjeeSugata MannaAnup RoySudeshna MukherjeeProsenjit SahaSanjib DeySusanta Roychoudhury
- Topics
- Tea Polyphenols and Effects (8 papers)RNA modifications and cancer (7 papers)Cancer-related molecular mechanisms research (7 papers)
- Partner nations
- IndiaUnited StatesSweden
In The Last Decade
Chinmay K. Panda
18 papers receiving 453 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 217
- Oncology 121
- Pathology and Forensic Medicine 114
- Cancer Research 98
- Biochemistry 86
Countries citing papers authored by Chinmay K. Panda
This map shows the geographic impact of Chinmay K. Panda'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 Chinmay K. Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chinmay K. Panda more than expected).
Fields of papers citing papers by Chinmay K. Panda
This network shows the impact of papers produced by Chinmay K. Panda. 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 Chinmay K. Panda. The network helps show where Chinmay K. Panda may publish in the future.
Co-authorship network of co-authors of Chinmay K. Panda
This figure shows the co-authorship network connecting the top 25 collaborators of Chinmay K. Panda. A scholar is included among the top collaborators of Chinmay K. Panda 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 Chinmay K. Panda. Chinmay K. Panda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 31 | |
| 3 | 22 | |
| 4 | 105 | |
| 5 | 67 | |
| 6 | 2 | |
| 7 | 37 | |
| 8 | Influence of regular black tea consumption on tobacco associated DNA damage and HPV prevalence in human oral mucosa. | 6 |
| 9 | Black tea polyphenols restrict benzopyrene-induced mouse lung cancer progression through inhibition of Cox-2 and induction of caspase-3 expression. | 20 |
| 10 | 6 | |
| 11 | 34 | |
| 12 | 11 | |
| 13 | 41 | |
| 14 | Inhibition of growth, induction of apoptosis and alteration of gene expression by tea polyphenols in the highly metastatic human lung cancer cell line NCI-H460. | 19 |
| 15 | 15 | |
| 16 | 14 | |
| 17 | 9 | |
| 18 | 2 |
About Chinmay K. Panda
Chinmay K. Panda is a scholar working on Applied Microbiology and Biotechnology, Cancer Research and Pathology and Forensic Medicine, having authored 18 papers that have together received 461 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (8 papers), RNA modifications and cancer (7 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (59 citations), Biochemistry (86 citations) and Cancer Research (98 citations). Chinmay K. Panda has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Sukta Das, Sarmistha Banerjee, Sugata Manna, Anup Roy, Sudeshna Mukherjee, Prosenjit Saha, Sanjib Dey, Susanta Roychoudhury, Sangeeta Ghuwalewala and Neyaz Alam. Their work appears in journals such as The Journal of Nutritional Biochemistry, Molecular and Cellular Biochemistry and APOPTOSIS.
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.