Debirupa Mitra

893 citations
21 papers · 678 · h-index 12

Impact in

Papers in

    • Biochemical and Structural Characterization 5
    • Machine Learning in Bioinformatics 4
    • Bacterial biofilms and quorum sensing 3
    • Antimicrobial agents and applications 7

Debirupa Mitra

20 papers receiving 674 citations

Peers

Debirupa Mitra
Comparison fields: 5 of 97
  • Surfaces, Coatings and Films 127
  • Microbiology 53
  • Biomaterials 100
  • Organic Chemistry 190
  • Water Science and Technology 87
Replace Lia Amelia Tresna Wulan Asri with:
Lia Amelia Tresna Wulan Asri Indonesia
Idris Cerkez United States
Yan Xue China
Mireia Hoyos‐Nogués Spain
Xinyi Hu China
Rongtao Zhou China
Laura Tamayo Chile
Aisha Batool Pakistan
Laurence Soussan France
Varun Sambhy United States
Debirupa Mitra relative to Lia Amelia Tresna Wulan Asri Indonesia Lia Amelia Tresna Wulan Asri's profile →
Citations per field
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Citations per year

Countries citing papers authored by Debirupa Mitra

Since Specialization
Citations

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

Fields of papers citing papers by Debirupa Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Debirupa Mitra, 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 Debirupa Mitra Line = papers co-authored together Debirupa Mitra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019225
2 2021120
3 202176
4 201646
5 201841
6 201627
7 201725
8 202121
9 202120
10 202018
11 202317
12 202311
13 20246
14 20236
15 20246
16 20234
17 20224
18 20243
19 20241
20 20251

About Debirupa Mitra

Debirupa Mitra is a scholar working on Molecular Biology, Organic Chemistry, Microbiology, Surfaces, Coatings and Films and Biomaterials, having authored 21 papers that have together received 678 indexed citations. Recurring topics across this work include Antimicrobial agents and applications (7 papers), Antimicrobial Peptides and Activities (7 papers), Biochemical and Structural Characterization (5 papers), Polymer Surface Interaction Studies (4 papers), Machine Learning in Bioinformatics (4 papers), Bacterial biofilms and quorum sensing (3 papers), Wound Healing and Treatments (2 papers) and Membrane Separation Technologies (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (127 citations), Microbiology (53 citations), Biomaterials (100 citations), Organic Chemistry (190 citations) and Water Science and Technology (87 citations). Debirupa Mitra has collaborated with scholars based in India, Singapore and China. Frequent co-authors include K. G. Neoh, E. T. Kang, Chi‐Hwa Wang, Ming Hang Tai, Min Li, Arnab Dutta, Yves Andrès, Edmund Chiong, Claire Gérente and Min Li. Their work appears in journals such as ACS Applied Materials & Interfaces, Molecular Systems Design & Engineering, Particle & Particle Systems Characterization, Journal of environmental chemical engineering and Amino Acids.

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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