Debojyoti Biswas

465 citations
18 papers · 283 indexed · h-index 10
Topics
Gene Regulatory Network Analysis (4 papers)Cellular Mechanics and Interactions (4 papers)Lipid Membrane Structure and Behavior (3 papers)
Partner nations
United StatesIndiaJapan

In The Last Decade

Debojyoti Biswas

16 papers receiving 278 citations

Peers

Debojyoti Biswas
Comparison fields: 5 of 81
  • Molecular Biology 139
  • Cell Biology 66
  • Computational Theory and Mathematics 34
  • Biomedical Engineering 30
  • Cellular and Molecular Neuroscience 25
Replace Elena Kuzmin with:
Elena Kuzmin Canada
Chuanqi Sun China
Akif Uzman United States
Clara Blanes‐Mira Spain
Susanne Schöbel Germany
Gene E. Ananiev United States
Akshay Bhumkar Australia
Catherine Maclachlan Switzerland
Mark A McClintock United States
Dharmeshkumar Patel United States
Debojyoti Biswas relative to Elena Kuzmin Canada Elena Kuzmin's profile →
Citations per field
00.5×1.5×
Elena Kuzmin · 1×
Citations per year

Countries citing papers authored by Debojyoti Biswas

Since Specialization
Citations

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

Fields of papers citing papers by Debojyoti Biswas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debojyoti Biswas

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 1
3 12
4 0
5 12
6 51
7 4
8 0
9 9
10 3
11 21
12 9
13 25
14 2
15 18
16 4
17 99
18 12

About Debojyoti Biswas

Debojyoti Biswas is a scholar working on Modeling and Simulation, Cell Biology and Biophysics, having authored 18 papers that have together received 283 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), Cellular Mechanics and Interactions (4 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Cell Biology (66 citations), Aging (6 citations) and Computational Theory and Mathematics (34 citations). Debojyoti Biswas has collaborated with scholars based in United States, India and Japan. Frequent co-authors include B. Jayaram, Tanya Singh, Pablo A. Iglesias, Peter N. Devreotes, Dhiman Sankar Pal, Tatsat Banerjee, Yuchuan Miao, Noah J. Cowan, Eric S. Fortune and Balázs Vágvölgyi. Their work appears in journals such as Nature Communications, The EMBO Journal and Nature Cell Biology.

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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