Debabrata Dash

7.1k citations
154 papers · 4.4k indexed · h-index 39

Impact in

Papers in

Debabrata Dash

151 papers receiving 4.3k citations

Peers

Debabrata Dash
Comparison fields: 5 of 153
  • Biomaterials 690
  • Hematology 558
  • Molecular Medicine 225
  • Biomedical Engineering 1.1k
  • Materials Chemistry 1.1k
Replace Christoph E. Hagemeyer with:
Christoph E. Hagemeyer Australia
Xiaolin Li China
Qin Wang China
Ji‐Eun Kim South Korea
Qing Miao China
Dongwon Lee South Korea
Yanyan Xu China
Han Kiat Ho Singapore
Suvro Chatterjee India
Qian Liu China
Debabrata Dash relative to Christoph E. Hagemeyer Australia Christoph E. Hagemeyer's profile →
Citations per field
00.5×2.7×
Christoph E. Hagemeyer · 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-authorship network

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
#Work
1 20256
2 20244
3 20242
4 20242
5 202314
6
Effects of Nanoceria on Human Platelet Functions and Blood Coagulation
20223
7 202038
8 201930
9 201866
10 201833
11 201712
12 2016117
13 201548
14 20148
15 201342
16 201234
17 201120
18 201122
19 20068
20 200212

About Debabrata Dash

Debabrata Dash is a scholar working on Hematology, Molecular Medicine, Internal Medicine, Biomaterials and Immunology and Allergy, having authored 154 papers that have together received 4.4k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (19 papers), Nanoparticles: synthesis and applications (11 papers), Antiplatelet Therapy and Cardiovascular Diseases (11 papers), Advanced biosensing and bioanalysis techniques (9 papers), Curcumin's Biomedical Applications (9 papers), Graphene and Nanomaterials Applications (8 papers), Blood properties and coagulation (8 papers) and Nanoparticle-Based Drug Delivery (8 papers). The work is most often cited by research in Biomaterials (690 citations), Hematology (558 citations), Molecular Medicine (225 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, Siddhartha Shrivastava, Rashmi Singh, 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, Scientific Reports, Archives of Biochemistry and Biophysics, Nano-Micro Letters and Inflammopharmacology.

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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