Bhanuranjan Das

514 citations
20 papers · 327 indexed · h-index 10
Topics
Computational Drug Discovery Methods (13 papers)Cholinesterase and Neurodegenerative Diseases (4 papers)Synthesis and biological activity (3 papers)
Partner nations
IndiaSwedenPortugal

In The Last Decade

Bhanuranjan Das

18 papers receiving 319 citations

Peers

Bhanuranjan Das
Comparison fields: 5 of 86
  • Molecular Biology 138
  • Computational Theory and Mathematics 124
  • Organic Chemistry 74
  • Materials Chemistry 37
  • Pharmacology 36
Replace Anurag T. K. Baidya with:
Anurag T. K. Baidya India
Claudia S. Neuhaus Switzerland
Shuoyan Tan China
Neeraj Masand India
Gurubasavaraj V. Pujar India
N. Yi Mok United Kingdom
Miguel A. Maria‐Solano Spain
Léo Ghemtio Finland
Abdeen Tunde Ogunlana Nigeria
Abdul-Quddus Kehinde Oyedele Nigeria
Bhanuranjan Das relative to Anurag T. K. Baidya India Anurag T. K. Baidya's profile →
Citations per field
00.5×1.5×
Anurag T. K. Baidya · 1×
Citations per year

Countries citing papers authored by Bhanuranjan Das

Since Specialization
Citations

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

Fields of papers citing papers by Bhanuranjan Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bhanuranjan Das

This figure shows the co-authorship network connecting the top 25 collaborators of Bhanuranjan Das. A scholar is included among the top collaborators of Bhanuranjan Das 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 Bhanuranjan Das. Bhanuranjan Das 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 1
2 0
3 3
4 1
5 6
6 4
7 2
8 11
9 5
10 3
11 10
12 16
13 2
14 100
15 13
16 104
17 9
18 16
19 10
20 11

About Bhanuranjan Das

Bhanuranjan Das is a scholar working on Computational Theory and Mathematics, Toxicology and Biochemistry, having authored 20 papers that have together received 327 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Synthesis and biological activity (3 papers). The work is most often cited by research in Computational Theory and Mathematics (124 citations), Health Informatics (6 citations) and Organic Chemistry (74 citations). Bhanuranjan Das has collaborated with scholars based in India, Sweden and Portugal. Frequent co-authors include Rajnish Kumar, Anurag T. K. Baidya, Ashok Kumar Yadav, Taher Darreh‐Shori, Indrajit Das, Ramandeep Kaur, Vinod K. Tiwari, Ashok Kumar Yadav, Ankit Uniyal and Hans Ågren. Their work appears in journals such as European Journal of Pharmacology, Proteins Structure Function and Bioinformatics and Current Medicinal Chemistry.

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