Arvind S. Negi

3.3k total citations
78 papers, 2.5k citations indexed

About

Arvind S. Negi is a scholar working on Organic Chemistry, Molecular Biology and Pharmacology. According to data from OpenAlex, Arvind S. Negi has authored 78 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Organic Chemistry, 34 papers in Molecular Biology and 17 papers in Pharmacology. Recurrent topics in Arvind S. Negi's work include Synthesis and biological activity (29 papers), Bioactive Compounds and Antitumor Agents (11 papers) and Microbial Natural Products and Biosynthesis (8 papers). Arvind S. Negi is often cited by papers focused on Synthesis and biological activity (29 papers), Bioactive Compounds and Antitumor Agents (11 papers) and Microbial Natural Products and Biosynthesis (8 papers). Arvind S. Negi collaborates with scholars based in India, Italy and Czechia. Arvind S. Negi's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Food Chemistry.

In The Last Decade

Arvind S. Negi

73 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arvind S. Negi India 29 1.0k 849 412 351 277 78 2.5k
Tadigoppula Narender India 28 1.1k 1.0× 892 1.1× 233 0.6× 371 1.1× 265 1.0× 125 2.7k
Vibha Tandon India 28 843 0.8× 832 1.0× 223 0.5× 298 0.8× 189 0.7× 93 2.5k
M. Ahmed Mesaik Pakistan 28 512 0.5× 681 0.8× 278 0.7× 534 1.5× 170 0.6× 115 2.2k
Kalim Javed India 24 939 0.9× 478 0.6× 319 0.8× 330 0.9× 207 0.7× 74 1.9k
Debabrata Chanda India 27 538 0.5× 537 0.6× 204 0.5× 372 1.1× 242 0.9× 69 1.8k
Keduo Qian United States 32 895 0.9× 1.6k 1.9× 266 0.6× 310 0.9× 185 0.7× 74 2.7k
Mithun Rudrapal India 33 728 0.7× 917 1.1× 281 0.7× 402 1.1× 234 0.8× 125 3.2k
Ren‐Wang Jiang China 31 659 0.6× 1.4k 1.7× 585 1.4× 530 1.5× 246 0.9× 121 2.7k
Daniela Ribeiro Portugal 28 602 0.6× 918 1.1× 190 0.5× 487 1.4× 143 0.5× 69 2.8k
Chavi Yenjai Thailand 24 485 0.5× 788 0.9× 497 1.2× 581 1.7× 142 0.5× 100 2.0k

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 of co-authors of Arvind S. Negi

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind S. Negi. A scholar is included among the top collaborators of Arvind S. Negi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arvind S. Negi. Arvind S. Negi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gupta, Vishan Kumar, Avdhesh Gupta, Sarvesh Vishwakarma, & Arvind S. Negi. (2024). Activity Identification of Androgen Receptor Ligand Binding Domain Using Voting-Based Ensemble Learning. 1–6. 2 indexed citations
3.
Dwivedi, Gaurav Raj, Nandini Pathak, Arvind S. Negi, et al.. (2024). Synergistic Antibacterial Activity of Gallic Acid Based Chalcone Indl 2 by Inhibiting Efflux Pump Transporters. Chemistry & Biodiversity. 21(4). e202301820–e202301820. 3 indexed citations
4.
Pathak, Nandini & Arvind S. Negi. (2024). Plant based steroidal and triterpenoid sapogenins: Chemistry on diosgenin and biological aspects. European Journal of Medicinal Chemistry. 279. 116915–116915. 5 indexed citations
6.
Kumar, Kapil, Sapna Srivastava, Debabrata Chanda, et al.. (2023). Dual targeted 2-Benzylideneindanone pendant hydroxamic acid group exhibits selective HDAC6 inhibition along with tubulin stabilization effect. Bioorganic & Medicinal Chemistry. 86. 117300–117300. 12 indexed citations
7.
Iqbal, Hina, Kapil Kumar, Divya Mishra, et al.. (2022). 2-Benzyllawsone protects against polymicrobial sepsis and vascular hyporeactivity in swiss albino mice. European Journal of Pharmacology. 917. 174757–174757. 16 indexed citations
8.
Iqbal, Hina, Amit Kumar Verma, Divya Mishra, et al.. (2022). Anti-inflammatory, anti-oxidant and cardio-protective properties of novel fluorophenyl benzimidazole in L-NAME-induced hypertensive rats. European Journal of Pharmacology. 929. 175132–175132. 10 indexed citations
9.
Kumar, Kapil, et al.. (2021). Microtubule associated proteins as targets for anticancer drug development. Bioorganic Chemistry. 116. 105320–105320. 48 indexed citations
10.
Shukla, Aparna, Vinita Chaturvedi, Priyanka Trivedi, et al.. (2020). Design, synthesis, in vitro and in silico studies of 2, 3-diaryl benzofuran derivatives as antitubercular agents. Bioorganic Chemistry. 99. 103784–103784. 15 indexed citations
11.
Fatima, Kaneez, Mohammad Hasanain, Avneet Kour, et al.. (2018). Antiproliferative efficacy of curcumin mimics through microtubule destabilization. European Journal of Medicinal Chemistry. 151. 51–61. 62 indexed citations
12.
Singh, Arjun, B. Sathish Kumar, Sarfaraz Alam, et al.. (2017). Diethyl-4,4ʹ-dihydroxy-8,3ʹ-neolign-7,7ʹ-dien-9,9ʹ-dionate exhibits antihypertensive activity in rats through increase in intracellular cGMP level and blockade of calcium channels. European Journal of Pharmacology. 799. 84–93. 11 indexed citations
14.
Yadav, Dharmendra Kumar, et al.. (2014). QSAR and docking studies on chalcone derivatives for antitubercular activity against M. tuberculosis H37Rv. Journal of Chemometrics. 28(6). 499–507. 26 indexed citations
15.
Negi, Arvind S., Sarfaraz Alam, Debabrata Chanda, et al.. (2014). Natural antitubulin agents: Importance of 3,4,5-trimethoxyphenyl fragment. Bioorganic & Medicinal Chemistry. 23(3). 373–389. 115 indexed citations
16.
Hamid, Abdulmumeen A., Mohammad Hasanain, Arjun Singh, et al.. (2014). Synthesis of novel anticancer agents through opening of spiroacetal ring of diosgenin. Steroids. 87. 108–118. 61 indexed citations
17.
Gupta, Atul, Amit K. Chaturvedi, Jyoti Agarwal, et al.. (2012). Gallic acid based steroidal phenstatin analogues for selective targeting of breast cancer cells through inhibiting tubulin polymerization. Steroids. 77(8-9). 878–886. 28 indexed citations
18.
Luqman, Suaib, Abha Meena, Tamara P. Kondratyuk, et al.. (2012). Neoflavonoids and Tetrahydroquinolones as Possible Cancer Chemopreventive Agents. Chemical Biology & Drug Design. 80(4). 616–624. 12 indexed citations
19.
Chanda, Debabrata, Shashi Bhushan, Santosh Kumar Guru, et al.. (2012). Anticancer activity, toxicity and pharmacokinetic profile of an indanone derivative. European Journal of Pharmaceutical Sciences. 47(5). 988–995. 45 indexed citations
20.
Srivastava, Vandana, Arvind S. Negi, J. Kotesh Kumar, et al.. (2005). Synthesis of 1-(3′,4′,5′-trimethoxy) phenyl naphtho[2,1b]furan as a novel anticancer agent. Bioorganic & Medicinal Chemistry Letters. 16(4). 911–914. 104 indexed citations

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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