Kunal Bhattacharya

427 citations
36 papers · 257 indexed · 1 hit paper · h-index 9
Topics
Computational Drug Discovery Methods (6 papers)Cholinesterase and Neurodegenerative Diseases (6 papers)Phytochemicals and Antioxidant Activities (3 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsJournal of Ethnopharmacology
Partner nations
IndiaLebanonAustralia

In The Last Decade

Kunal Bhattacharya

29 papers receiving 254 citations

Hit Papers

Cellular senescence in lung cancer: Molecular mechanisms ...20242026202520241020304050

Peers

Kunal Bhattacharya
Comparison fields: 5 of 74
  • Molecular Biology 114
  • Computational Theory and Mathematics 40
  • Pharmacology 28
  • Immunology 26
  • Plant Science 26
Replace Ermias Mergia Terefe with:
Ermias Mergia Terefe United States
V. Parthasarathy India
Chenglin Mu China
Dalavaikodihalli Nanjaiah Nandakumar India
Tooba Abdizadeh Iran
Alireza Mohseni Iran
Tamina Park South Korea
Eunhyun Ryu South Korea
Md. Emdad Ullah Indonesia
Kunal Bhattacharya relative to Ermias Mergia Terefe United States Ermias Mergia Terefe's profile →
Citations per field
00.5×1.5×2.2×
Ermias Mergia Terefe · 1×
Citations per year

Countries citing papers authored by Kunal Bhattacharya

Since Specialization
Citations

This map shows the geographic impact of Kunal Bhattacharya'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 Kunal Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunal Bhattacharya more than expected).

Fields of papers citing papers by Kunal Bhattacharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kunal Bhattacharya. 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 Kunal Bhattacharya. The network helps show where Kunal Bhattacharya may publish in the future.

Co-authorship network of co-authors of Kunal Bhattacharya

This figure shows the co-authorship network connecting the top 25 collaborators of Kunal Bhattacharya. A scholar is included among the top collaborators of Kunal Bhattacharya 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 Kunal Bhattacharya. Kunal Bhattacharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 4
6 1
7 1
8 0
9 10
10 9
11 3
12 6
13 9
14 14
15 16
16 3
17 3
18 4
19 35
20 18

About Kunal Bhattacharya

Kunal Bhattacharya is a scholar working on Biochemistry, Pharmacology and Pharmacology, having authored 36 papers that have together received 257 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Cholinesterase and Neurodegenerative Diseases (6 papers) and Phytochemicals and Antioxidant Activities (3 papers). The work is most often cited by research in Virology (14 citations), Computational Theory and Mathematics (40 citations) and Complementary and alternative medicine (20 citations). Kunal Bhattacharya has collaborated with scholars based in India, Lebanon and Australia. Frequent co-authors include Pukar Khanal, Vishal S. Patil, Prarambh S. R. Dwivedi, B. M. Patil, Keshav Raj Paudel, Subarna Roy, Amit Kumar Shrivastava, Darasaguppe R. Harish, Saurav Kumar Jha and Samir Mehndiratta. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Ethnopharmacology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026