Pradeep Kumar

4.4k citations
165 papers · 3.4k · h-index 32

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 74
    • RNA Interference and Gene Delivery 54
    • DNA and Nucleic Acid Chemistry 29
    • Gene expression and cancer classification 14
    • Chemical Synthesis and Analysis 13
    • Advanced Biosensing Techniques and Applications 12

Pradeep Kumar

162 papers receiving 3.3k citations

Peers

Pradeep Kumar
Comparison fields: 5 of 124
  • Biomaterials 783
  • Molecular Medicine 167
  • Pharmaceutical Science 209
  • Molecular Biology 1.7k
  • Microbiology 115
Replace Huiyuan Wang with:
Huiyuan Wang China
Andreia C. Gomes Portugal
Marya Ahmed Canada
Yu Zhao China
Tapas K. Maiti India
Ladislav Šoltés Slovakia
Ke Men China
Cuihong Yang China
Xiangrong Song China
Vladimı́r Velebný Czechia
Pradeep Kumar relative to Huiyuan Wang China Huiyuan Wang's profile →
Citations per field
00.5×1.7×
Huiyuan Wang · 1×
Citations per year

Countries citing papers authored by Pradeep Kumar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Pradeep Kumar Line = papers co-authored together Pradeep Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020241
2 2015215
3 2017156
4 2021127
5 2009109
6 2022106
7 200677
8 201670
9 200766
10 201265
11 201165
12 202062
13 201161
14 201361
15 201158
16 201258
17 201854
18 201150
19 201747
20 201744

About Pradeep Kumar

Pradeep Kumar is a scholar working on Molecular Biology, Organic Chemistry, Biomaterials, Biomedical Engineering and Genetics, having authored 165 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (74 papers), RNA Interference and Gene Delivery (54 papers), DNA and Nucleic Acid Chemistry (29 papers), Virus-based gene therapy research (18 papers), Gene expression and cancer classification (14 papers), Chemical Synthesis and Analysis (13 papers), Nanoparticle-Based Drug Delivery (12 papers) and Advanced Biosensing Techniques and Applications (12 papers). The work is most often cited by research in Biomaterials (783 citations), Molecular Medicine (167 citations), Pharmaceutical Science (209 citations), Molecular Biology (1.7k citations) and Microbiology (115 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, Diksha Jha and Sushil Tripathi. Their work appears in journals such as Bioconjugate Chemistry, Bioorganic & Medicinal Chemistry Letters, Colloids and Surfaces B Biointerfaces, European Journal of Pharmaceutics and Biopharmaceutics 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.

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