Debswapna Bhattacharya

1.8k citations
39 papers · 1.2k indexed · h-index 15
Topics
Protein Structure and Dynamics (35 papers)Enzyme Structure and Function (21 papers)Machine Learning in Bioinformatics (17 papers)
Partner nations
United StatesBelarus

In The Last Decade

Debswapna Bhattacharya

36 papers receiving 1.2k citations

Peers

Debswapna Bhattacharya
Comparison fields: 5 of 105
  • Molecular Biology 996
  • Materials Chemistry 310
  • Computational Theory and Mathematics 191
  • Infectious Diseases 108
  • Radiology, Nuclear Medicine and Imaging 77
Replace Nicholas M. Glykos with:
Nicholas M. Glykos Greece
Mateusz Kurciński Poland
Panagiotis I. Koukos Netherlands
Eric W. Bell United States
Robin Pearce United States
Rodrigo V. Honorato Brazil
Sebastian Bittrich United States
Gordon Lemmon United States
Raymond Hui Canada
Hannes Braberg United States
Debswapna Bhattacharya relative to Nicholas M. Glykos Greece Nicholas M. Glykos's profile →
Citations per field
00.5×2.6×
Nicholas M. Glykos · 1×
Citations per year

Countries citing papers authored by Debswapna Bhattacharya

Since Specialization
Citations

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

Fields of papers citing papers by Debswapna Bhattacharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debswapna Bhattacharya

This figure shows the co-authorship network connecting the top 25 collaborators of Debswapna Bhattacharya. A scholar is included among the top collaborators of Debswapna 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 Debswapna Bhattacharya. Debswapna 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 4
2 0
3 31
4 1
5 0
6 3
7 2
8 13
9 6
10 12
11 24
12 2
13 2
14 11
15 16
16 328
17 132
18 18
19 100
20 48

About Debswapna Bhattacharya

Debswapna Bhattacharya is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (35 papers), Enzyme Structure and Function (21 papers) and Machine Learning in Bioinformatics (17 papers). The work is most often cited by research in Molecular Biology (996 citations), Computational Theory and Mathematics (191 citations) and Materials Chemistry (310 citations). Debswapna Bhattacharya has collaborated with scholars based in United States and Belarus. Frequent co-authors include Jianlin Cheng, Renzhi Cao, Badri Adhikari, Jie Hou, Jilong Li, Miao Sun, T. M. Murali, Xin Deng, Jesse Eickholt and Trevor A. Norton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

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.

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