Debabrata Dash

148 papers receiving 4.3k citations

Peers

Debabrata Dash
Comparison fields: 5 of 151
  • Biomaterials 664
  • Hematology 520
  • Molecular Medicine 212
  • Biomedical Engineering 1.1k
  • Materials Chemistry 1.1k
Replace Jinmin Zhao with:
Jinmin Zhao China
Christoph E. Hagemeyer Australia
Qin Wang China
Xiaolin Li China
Ji‐Eun Kim South Korea
Dongwon Lee South Korea
Qing Miao China
Yanyan Xu China
Suvro Chatterjee India
Seung Jin Lee South Korea
Debabrata Dash relative to Jinmin Zhao China Jinmin Zhao's profile →
Citations per field
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Jinmin Zhao · 1×
Citations per year

Countries citing papers authored by Debabrata Dash

Since Specialization
Citations

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

Fields of papers citing papers by Debabrata Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012406
2 2009267
3 2011245
4 2016119
5 2007107
6 200988
7 201588
8 200886
9 201272
10 199670
11 201870
12 200967
13 201866
14 201359
15 201458
16 201654
17 201754
18
Amadori glycated proteins: role in production of autoantibodies in diabetes mellitus and effect of inhibitors on non-enzymatic glycation.
201353
19 201452
20 201352

About Debabrata Dash

Debabrata Dash is a scholar working on Molecular Biology, Hematology, Biomedical Engineering, Biomaterials and Materials Chemistry, having authored 151 papers that have together received 4.4k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (18 papers), Antiplatelet Therapy and Cardiovascular Diseases (10 papers), Curcumin's Biomedical Applications (9 papers), Advanced biosensing and bioanalysis techniques (9 papers), Nanoparticles: synthesis and applications (8 papers), Nanoparticle-Based Drug Delivery (8 papers), Protease and Inhibitor Mechanisms (7 papers) and Blood properties and coagulation (7 papers). The work is most often cited by research in Biomaterials (664 citations), Hematology (520 citations), Molecular Medicine (212 citations), Biomedical Engineering (1.1k citations) and Materials Chemistry (1.1k citations). Debabrata Dash has collaborated with scholars based in India, United States and Portugal. Frequent co-authors include Sunil Kumar Singh, Rashmi Singh, Siddhartha Shrivastava, Paresh P. Kulkarni, J. Grácio, Manoj K. Singh, Vijay K. Sonkar, Manasa K. Nayak, Sharda Kumari and Nitesh Singh. Their work appears in journals such as Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, ACS Nano, International Immunopharmacology and FEBS Letters.

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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