Arvind S. Negi

3.3k citations
78 papers · 2.5k indexed · h-index 29

Impact in

Papers in

Arvind S. Negi

73 papers receiving 2.4k citations

Peers

Arvind S. Negi
Comparison fields: 5 of 120
  • Drug Discovery 85
  • Pharmacology 412
  • Toxicology 152
  • Organic Chemistry 1.0k
  • Complementary and alternative medicine 277
Replace Debabrata Chanda with:
Debabrata Chanda India
Natthida Weerapreeyakul Thailand
Pierre Tane Cameroon
Armelle T. Mbaveng Cameroon
K. Cimanga Belgium
Sanjay M. Jachak India
Mansour S. Alsaid Saudi Arabia
Sahapat Barusrux Thailand
Upal Kanti Mazumder India
Leng Chee Chang United States
Arvind S. Negi relative to Debabrata Chanda India Debabrata Chanda's profile →
Citations per field
00.5×1.5×2.0×
Debabrata Chanda · 1×
Citations per year

Countries citing papers authored by Arvind S. Negi

Since Specialization
Citations

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

Fields of papers citing papers by Arvind S. Negi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arvind S. Negi. 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 Arvind S. Negi. The network helps show where Arvind S. Negi may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20243
3 20242
4 20240
5 202312
6 202322
7 202210
8 202216
9 2021136
10 201918
11 201862
12 201814
13 201711
14 20158
15 201461
16 201455
17 201332
18 20126
19 201255
20 201013

About Arvind S. Negi

Arvind S. Negi is a scholar working on Toxicology, Applied Microbiology and Biotechnology, Organic Chemistry, Pharmacology and Molecular Medicine, having authored 78 papers that have together received 2.5k indexed citations. Recurring topics across this work include Synthesis and biological activity (29 papers), Bioactive Compounds and Antitumor Agents (11 papers), Microbial Natural Products and Biosynthesis (8 papers), Cancer therapeutics and mechanisms (7 papers), Synthesis and Biological Evaluation (6 papers), Computational Drug Discovery Methods (6 papers), Cancer Treatment and Pharmacology (6 papers) and Tannin, Tannase and Anticancer Activities (6 papers). The work is most often cited by research in Drug Discovery (85 citations), Pharmacology (412 citations), Toxicology (152 citations), Organic Chemistry (1.0k citations) and Complementary and alternative medicine (277 citations). Arvind S. Negi has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Suaib Luqman, Karuna Shanker, Debabrata Chanda, S. P. S. Khanuja, Feroz Khan, J. Kotesh Kumar, Mahendra P. Darokar, Jayanta Sarkar, Dharmendra Saikia and Arjun Singh. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, European Journal of Medicinal Chemistry, Bioorganic Chemistry and European Journal of 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026