Utpal Nandi

1.6k citations
101 papers · 1.1k · h-index 18

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 12
    • Pharmacological Effects of Natural Compounds 9
    • Drug-Induced Hepatotoxicity and Protection 7
    • Cancer therapeutics and mechanisms 9

Utpal Nandi

97 papers receiving 1.1k citations

Peers

Utpal Nandi
Comparison fields: 5 of 112
  • Pharmacology 217
  • Pharmacology 246
  • Complementary and alternative medicine 96
  • Pharmaceutical Science 73
  • Toxicology 30
Replace Gurdarshan Singh with:
Gurdarshan Singh India
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Javadi Monisha India
Young‐Mi Kim South Korea
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Utpal Nandi relative to Gurdarshan Singh India Gurdarshan Singh's profile →
Citations per field
00.5×1.5×
Gurdarshan Singh · 1×
Citations per year

Countries citing papers authored by Utpal Nandi

Since Specialization
Citations

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

Fields of papers citing papers by Utpal Nandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021119
2 201871
3 202158
4 202143
5 201738
6 202026
7 202124
8 202023
9 201722
10 202222
11 201821
12 202121
13 202021
14 202219
15 201918
16 201718
17 201717
18 202117
19 202216
20 202316

About Utpal Nandi

Utpal Nandi is a scholar working on Pharmacology, Molecular Biology, Oncology, Pharmacology and Organic Chemistry, having authored 101 papers that have together received 1.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (18 papers), Pharmacogenetics and Drug Metabolism (12 papers), Pharmacological Effects of Natural Compounds (9 papers), Cancer therapeutics and mechanisms (9 papers), Drug Solubulity and Delivery Systems (8 papers), Analytical Methods in Pharmaceuticals (8 papers), Drug-Induced Hepatotoxicity and Protection (7 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Pharmacology (217 citations), Pharmacology (246 citations), Complementary and alternative medicine (96 citations), Pharmaceutical Science (73 citations) and Toxicology (30 citations). Utpal Nandi has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Ashish Dogra, Gurdarshan Singh, Abhishek Gour, Debaraj Mukherjee, Priya Wazir, Mousumi Pal, Ajay Kumar, Tapan Kumar Pal, Sandip B. Bharate and Swarnendu Bag. Their work appears in journals such as ACS Omega, Chemico-Biological Interactions, ACS Medicinal Chemistry Letters, ACS Pharmacology & Translational Science and Regulatory Toxicology and Pharmacology.

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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