Debanu Das

1.4k citations
27 papers · 743 · h-index 13

Impact in

Papers in

    • Protein Structure and Dynamics 4
    • RNA and protein synthesis mechanisms 4
    • Biochemical and Molecular Research 4
    • DNA Repair Mechanisms 3
    • Peptidase Inhibition and Analysis 5

Debanu Das

26 papers receiving 734 citations

Peers

Debanu Das
Comparison fields: 5 of 88
  • Virology 78
  • Molecular Medicine 46
  • Molecular Biology 537
  • Infectious Diseases 89
  • Oncology 89
Replace Colin E. McVey with:
Colin E. McVey Portugal
Michael Petukhov Russia
Todd Mayhood United States
Maria Kornienko Russia
Akash Ranjan India
Frank Striebel Switzerland
Dorothea Sizmann Switzerland
L.R. Olsen United States
Karin Welfle Germany
Edoardo Sarubbi Italy
Debanu Das relative to Colin E. McVey Portugal Colin E. McVey's profile →
Citations per field
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Colin E. McVey · 1×
Citations per year

Countries citing papers authored by Debanu Das

Since Specialization
Citations

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

Fields of papers citing papers by Debanu Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Debanu Das, 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 Debanu Das Line = papers co-authored together Debanu Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011190
2 200499
3 201476
4 201548
5 200648
6 201543
7 201637
8 200127
9 201125
10 201224
11
Structure-based inference of molecular functions of proteins of unknown function from Berkeley Structural Genomics Center
200722
12 201318
13 201613
14 202110
15 20169
16 20048
17 20148
18 20138
19 20077
20 20236

About Debanu Das

Debanu Das is a scholar working on Molecular Biology, Oncology, Materials Chemistry, Infectious Diseases and Genetics, having authored 27 papers that have together received 743 indexed citations. Recurring topics across this work include Enzyme Structure and Function (7 papers), HIV/AIDS drug development and treatment (6 papers), Peptidase Inhibition and Analysis (5 papers), Protein Structure and Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers), Biochemical and Molecular Research (4 papers), Bacterial Genetics and Biotechnology (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Virology (78 citations), Molecular Medicine (46 citations), Molecular Biology (537 citations), Infectious Diseases (89 citations) and Oncology (89 citations). Debanu Das has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Millie M. Georgiadis, Ashley M. Deacon, Hsiu‐Ju Chiu, Robert J. Fletterick, Raymond D. Blind, Holly A. Ingraham, Elena P. Sablin, Herbert L. Axelrod, Randy J. Read and Thomas C. Terwilliger. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Protein Science, Journal of Biological Chemistry, Journal of Structural Biology and Proceedings of the National Academy of Sciences.

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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