Debanjan Sen

29 papers receiving 325 citations

Peers

Debanjan Sen
Comparison fields: 5 of 81
  • Computational Theory and Mathematics 106
  • Pharmacology 34
  • Complementary and alternative medicine 30
  • Organic Chemistry 90
  • Infectious Diseases 41
Replace Mutaib M. Mashraqi with:
Mutaib M. Mashraqi Saudi Arabia
Hafiz Muzzammel Rehman Pakistan
Asma Abro Pakistan
Arooma Maryam Pakistan
Amar Ajmal Pakistan
Ana L. M. Karl Brazil
Srikanth Jupudi India
Md. Ekhtiar Rahman Bangladesh
Jerome P. L. Ng Macao
Abdulrahim R. Hakami Saudi Arabia
Debanjan Sen relative to Mutaib M. Mashraqi Saudi Arabia Mutaib M. Mashraqi's profile →
Citations per field
00.5×10×12.7×
Mutaib M. Mashraqi · 1×
Citations per year

Countries citing papers authored by Debanjan Sen

Since Specialization
Citations

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

Fields of papers citing papers by Debanjan Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Debanjan Sen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Debanjan Sen Line = papers co-authored together Debanjan Sen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202052
2 202030
3 201328
4 202122
5 201921
6 202120
7 202220
8 201019
9 202118
10 201513
11 201313
12 202110
13 20239
14 20229
15 20218
16 20107
17 20245
18 20244
19 20244
20 20204

About Debanjan Sen

Debanjan Sen is a scholar working on Organic Chemistry, Computational Theory and Mathematics, Molecular Biology, Pharmacology and Infectious Diseases, having authored 32 papers that have together received 334 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Synthesis and biological activity (7 papers), Diverse Scientific Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Cancer therapeutics and mechanisms (3 papers), Synthesis and Biological Evaluation (3 papers) and Quinazolinone synthesis and applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (106 citations), Pharmacology (34 citations), Complementary and alternative medicine (30 citations), Organic Chemistry (90 citations) and Infectious Diseases (41 citations). Debanjan Sen has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Sudhan Debnath, Pradip Debnath, Bimal Debnath, Arindam Maity, Anirban Banerjee, Himadri Datta, Amitava Das, Md Ataul Islam, Somnath Mukhopadhyay and Magdi E. A. Zaki. Their work appears in journals such as Journal of Advanced Pharmaceutical Technology amp Research, Journal of Biomolecular Structure and Dynamics, Molecular Diversity, Arabian Journal of Chemistry and Current Drug Targets.

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