Debabrat Baishya

31 papers receiving 822 citations

Peers

Debabrat Baishya
Comparison fields: 5 of 109
  • Drug Discovery 2
  • Biotechnology 76
  • Biomaterials 97
  • Complementary and alternative medicine 57
  • Materials Chemistry 224
Replace Farzaneh Tafvizi with:
Farzaneh Tafvizi Iran
Varunkumar Krishnamoorthy India
Deepa Mundekkad India
Raghu Chandrashekar Hariharapura India
Manal Shalaby Egypt
Simin Wei China
Wafaa Gh. Shousha Egypt
Solachuddin Jauhari Arief Ichwan Malaysia
Ioannis Anestopoulos Greece
Parasuraman Pavadai India
Debabrat Baishya relative to Farzaneh Tafvizi Iran Farzaneh Tafvizi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Debabrat Baishya

Since Specialization
Citations

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

Fields of papers citing papers by Debabrat Baishya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021174
2 202196
3 201971
4 201969
5 202253
6 202143
7 202139
8 202132
9 201930
10 202129
11 202127
12 201521
13 201820
14 202218
15 202217
16
Green Synthesis of Silver Nanoparticle using Bryophyllum pinnatum (Lam.) and monitoring their antibacterial activities
201215
17 202115
18 202114
19 202313
20 202311

About Debabrat Baishya

Debabrat Baishya is a scholar working on Molecular Biology, Materials Chemistry, Biotechnology, Plant Science and Biomaterials, having authored 32 papers that have together received 843 indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (6 papers), Nanoparticle-Based Drug Delivery (4 papers), Computational Drug Discovery Methods (4 papers), Histone Deacetylase Inhibitors Research (3 papers), Enzyme Production and Characterization (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Nanoplatforms for cancer theranostics (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Drug Discovery (2 citations), Biotechnology (76 citations), Biomaterials (97 citations), Complementary and alternative medicine (57 citations) and Materials Chemistry (224 citations). Debabrat Baishya has collaborated with scholars based in India, Malaysia and United States. Frequent co-authors include Bijuli Rabha, Kaushik Kumar Bharadwaj, Siddhartha Pati, Tanmay Sarkar, Hisham Atan Edinur, Zulhisyam Abdul Kari, Arabinda Ghosh, Pratyoosh Shukla, Noor Haslina Mohd Noor and Ankit Srivastava. Their work appears in journals such as Cancer Research, Polymers, Applied Biochemistry and Biotechnology, World Journal of Microbiology and Biotechnology and Frontiers in Immunology.

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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