Avinash Kumar

47 papers receiving 520 citations

Peers

Avinash Kumar
Comparison fields: 5 of 93
  • Computational Theory and Mathematics 139
  • Pharmaceutical Science 34
  • Organic Chemistry 121
  • Molecular Medicine 21
  • Pharmacology 70
Replace Madhu Chopra with:
Madhu Chopra India
Maria Antonietta Occhiuzzi Italy
Karim Mahnam Iran
Janez Mravljak Slovenia
Mohammad Kalim Ahmad Khan India
Ahmed A. El‐Rashedy Egypt
Shailesh V. Jain India
Daigo Inoyama United States
Behzad Jafari Iran
Rikeshwer Prasad Dewangan India
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Citations per field
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Madhu Chopra · 1×
Citations per year

Countries citing papers authored by Avinash Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Avinash Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201958
2 202127
3 202027
4 201127
5 201426
6 202023
7 201921
8 202018
9 202017
10 202117
11
Effective drug targeting by Erythrocytes as Carrier Systems
200716
12 201915
13 201914
14 202214
15 202412
16 202012
17 202012
18 201912
19 201911
20 202011

About Avinash Kumar

Avinash Kumar is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and Epidemiology, having authored 48 papers that have together received 528 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Cholinesterase and Neurodegenerative Diseases (7 papers), vaccines and immunoinformatics approaches (6 papers), Enzyme Production and Characterization (5 papers), Synthesis and biological activity (5 papers), Cancer therapeutics and mechanisms (4 papers), Nanoparticle-Based Drug Delivery (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Computational Theory and Mathematics (139 citations), Pharmaceutical Science (34 citations), Organic Chemistry (121 citations), Molecular Medicine (21 citations) and Pharmacology (70 citations). Avinash Kumar has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Suvarna G. Kini, Ekta Rathi, Arvind M. Kayastha, N Udupa, Praful Balavant Deshpande, M. Sreenivasa Reddy, Vinay Kumar Singh, K. Sreedhara Ranganath Pai, Divya Yadav and Anoop Kishore. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Mini-Reviews in Medicinal Chemistry, Scientific Reports, International Journal of Biological Macromolecules and Journal of Materials Science Materials in Medicine.

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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