Abhimanyu Dev

890 citations
29 papers · 632 · h-index 13

Impact in

Papers in

Abhimanyu Dev

27 papers receiving 608 citations

Peers

Abhimanyu Dev
Comparison fields: 5 of 96
  • Pharmaceutical Science 137
  • Biomaterials 122
  • Molecular Medicine 46
  • Drug Discovery 1
  • Complementary and alternative medicine 33
Replace Chunbo Lu with:
Chunbo Lu China
Vaskuri G. S. Sainaga Jyothi India
Yunlong Ge China
Mohamed A. Shaker Egypt
Sagar R. Pardeshi India
Shiv Kumar Prajapati India
Gholamhossein Yousefi Iran
Kajal Tak India
P. Venkatesan India
Francesca Damiani Victorelli Brazil
Abhimanyu Dev relative to Chunbo Lu China Chunbo Lu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Abhimanyu Dev

Since Specialization
Citations

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

Fields of papers citing papers by Abhimanyu Dev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020115
2 2021106
3 202274
4 201142
5 202038
6 202030
7 201329
8 201027
9 202221
10 202021
11 202217
12 201517
13 202016
14 202111
15 201911
16 20148
17 20237
18
Chemical composition and antimicrobial activity of the essential oils of Senecio rufinervis DC. (Asteraceae)
20117
19 20157
20 20225

About Abhimanyu Dev

Abhimanyu Dev is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Pharmaceutical Science and Infectious Diseases, having authored 29 papers that have together received 632 indexed citations. Recurring topics across this work include Graphene and Nanomaterials Applications (6 papers), Nanoparticles: synthesis and applications (5 papers), Nanocluster Synthesis and Applications (4 papers), Carbon and Quantum Dots Applications (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Advanced Drug Delivery Systems (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Drug Solubulity and Delivery Systems (2 papers). The work is most often cited by research in Pharmaceutical Science (137 citations), Biomaterials (122 citations), Molecular Medicine (46 citations), Drug Discovery (1 citation) and Complementary and alternative medicine (33 citations). Abhimanyu Dev has collaborated with scholars based in India, Saudi Arabia and Japan. Frequent co-authors include Sneha Singh, Venkatesan Jayaprakash, Vinod Kumar Nigam, Swastika Ganguly, Archita Gupta, Afzal Hussain, Barij Nayan Sinha, Thomas J. Webster, Sanjib Bhakta and Harishkumar Madhyastha. Their work appears in journals such as AAPS PharmSciTech, Nanomedicine, Gene, Scientific Reports and Molecular Pharmaceutics.

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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