Pradeep Kumar
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery 13
- Molecular Medicine top 5%
- Pharmaceutical Science top 2%
- Molecular Biology top 5%
- Advanced biosensing and bioanalysis techniques 75
- RNA Interference and Gene Delivery 53
- DNA and Nucleic Acid Chemistry 29
- Gene expression and cancer classification 14
- Chemical Synthesis and Analysis 13
- Advanced Biosensing Techniques and Applications 12
- Microbiology top 5%
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- Virus-based gene therapy research 18
- Co-authors
- Kailash C. GuptaAshwani Kumar SharmaK.C. GuptaSantosh Kumar YadavHemant K. GautamIndu SinghRitu GoyalGagan Dhawan
- Journals
- Bioconjugate Chemistry (8 papers)Bioorganic & Medicinal Chemistry Letters (7 papers)Colloids and Surfaces B Biointerfaces (5 papers)
- Partner nations
- IndiaUnited StatesSpain
In The Last Decade
Pradeep Kumar
159 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 125
- Biomaterials 730
- Molecular Medicine 156
- Pharmaceutical Science 184
- Molecular Biology 1.6k
- Microbiology 109
Countries citing papers authored by Pradeep Kumar
This map shows the geographic impact of Pradeep 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 Pradeep Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Kumar more than expected).
Fields of papers citing papers by Pradeep Kumar
This network shows the impact of papers produced by Pradeep 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 Pradeep Kumar. The network helps show where Pradeep Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pradeep Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 18 | |
| 7 | 2021 | 20 | |
| 8 | 2019 | 34 | |
| 9 | 2018 | 17 | |
| 10 | 2018 | 32 | |
| 11 | 2018 | 7 | |
| 12 | 2015 | 40 | |
| 13 | 2013 | 3 | |
| 14 | 2013 | 27 | |
| 15 | 2012 | 14 | |
| 16 | 2011 | 18 | |
| 17 | 2007 | 3 | |
| 18 | 2007 | 61 | |
| 19 | Incidence and antibiotic susceptibility of Vibrio parahaemolyticus from sea foods of Tuticorin | 2004 | 4 |
| 20 | 1995 | 20 |
About Pradeep Kumar
Pradeep Kumar is a scholar working on Biomaterials, Molecular Biology and Molecular Medicine, having authored 163 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (75 papers), RNA Interference and Gene Delivery (53 papers), DNA and Nucleic Acid Chemistry (29 papers), Virus-based gene therapy research (18 papers), Gene expression and cancer classification (14 papers), Nanoparticle-Based Drug Delivery (13 papers), Chemical Synthesis and Analysis (13 papers) and Advanced Biosensing Techniques and Applications (12 papers). The work is most often cited by research in Biomaterials (730 citations), Molecular Medicine (156 citations) and Pharmaceutical Science (184 citations). Pradeep Kumar has collaborated with scholars based in India, United States and Spain. Frequent co-authors include Kailash C. Gupta, Ashwani Kumar Sharma, K.C. Gupta, Santosh Kumar Yadav, Hemant K. Gautam, Indu Singh, Ritu Goyal, Gagan Dhawan, Sushil Tripathi and Diksha Jha. Their work appears in journals such as Bioconjugate Chemistry, Bioorganic & Medicinal Chemistry Letters, Colloids and Surfaces B Biointerfaces, Drug Delivery and Translational Research and Nucleic Acids Research.
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.