Varun Kumar

2.4k citations
37 papers · 973 · h-index 17

Impact in

Papers in

Varun Kumar

36 papers receiving 951 citations

Peers

Varun Kumar
Comparison fields: 5 of 119
  • Pharmaceutical Science 105
  • Biomaterials 173
  • Molecular Biology 370
  • Biomedical Engineering 235
  • Molecular Medicine 23
Replace Faramarz Mehrnejad with:
Faramarz Mehrnejad Iran
Yiqun Du China
Lianyan Wang China
Lan Zhang China
José Crecente‐Campo Spain
Edurne Imbuluzqueta Spain
Elizabeth Igne Ferreira Brazil
Roghiyeh Pashaei‐Asl Iran
Zixuan Wang China
Romina J. Glisoni Argentina
Varun Kumar relative to Faramarz Mehrnejad Iran Faramarz Mehrnejad's profile →
Citations per field
00.5×1.5×2.0×
Faramarz Mehrnejad · 1×
Citations per year

Countries citing papers authored by Varun Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Varun Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014183
2 200989
3 200985
4 202171
5 201063
6 200862
7 201456
8 200841
9 202136
10 201734
11 201924
12 201323
13 201722
14 201222
15 201922
16 201221
17 202017
18 201416
19 202115
20 202213

About Varun Kumar

Varun Kumar is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Plant Science and Organic Chemistry, having authored 37 papers that have together received 973 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (4 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), RNA Interference and Gene Delivery (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Phytase and its Applications (3 papers), Surfactants and Colloidal Systems (2 papers), Drug Solubulity and Delivery Systems (2 papers) and Agronomic Practices and Intercropping Systems (2 papers). The work is most often cited by research in Pharmaceutical Science (105 citations), Biomaterials (173 citations), Molecular Biology (370 citations), Biomedical Engineering (235 citations) and Molecular Medicine (23 citations). Varun Kumar has collaborated with scholars based in India, United States and China. Frequent co-authors include Robert K. Prud’homme, Douglas H. Adamson, J. M. Khire, Scott Barros, Jayaprakash K. Nair, Benjamin Brigham, Yongfeng Jiang, Akin Akinc, June Qin and Pia V. Kasperkovitz. Their work appears in journals such as Molecular Pharmaceutics, Langmuir, Applied Microbiology and Biotechnology, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Process Biochemistry.

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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