Sumit Kumar

1.8k citations
45 papers · 1.5k · h-index 19

Impact in

Papers in

    • Extracellular vesicles in disease 10
    • RNA Interference and Gene Delivery 4
    • Nanoplatforms for cancer theranostics 5
    • Biosensors and Analytical Detection 4

Sumit Kumar

41 papers receiving 1.5k citations

Peers

Sumit Kumar
Comparison fields: 5 of 118
  • General Dentistry 26
  • Biomedical Engineering 708
  • Biomaterials 171
  • Electronic, Optical and Magnetic Materials 171
  • Materials Chemistry 396
Replace Dan Wu with:
Dan Wu China
Wonjun Yim United States
Mariafrancesca Cascione Italy
Maria Laura Ermini Italy
Tingting Xie China
Giordano Perini Italy
Zhaoyou Chu China
Xiaoyi Zhao China
Lucia Cucca Italy
Mengmeng Lu China
Sumit Kumar relative to Dan Wu China Dan Wu's profile →
Citations per field
00.5×5.2×
Dan Wu · 1×
Citations per year

Countries citing papers authored by Sumit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020242
2 2020184
3 2014155
4 2020115
5 202169
6 201867
7 202158
8 201755
9 202154
10 201348
11 202041
12 202140
13 201937
14 202136
15 201834
16 202032
17 201824
18 202021
19 202321
20 202318

About Sumit Kumar

Sumit Kumar is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (10 papers), Gold and Silver Nanoparticles Synthesis and Applications (6 papers), Quantum Dots Synthesis And Properties (5 papers), Nanocluster Synthesis and Applications (5 papers), Nanoplatforms for cancer theranostics (5 papers), RNA Interference and Gene Delivery (4 papers), Biosensors and Analytical Detection (4 papers) and Advanced Nanomaterials in Catalysis (4 papers). The work is most often cited by research in General Dentistry (26 citations), Biomedical Engineering (708 citations), Biomaterials (171 citations), Electronic, Optical and Magnetic Materials (171 citations) and Materials Chemistry (396 citations). Sumit Kumar has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Yoon‐Kyoung Cho, Mamata Karmacharya, Juhee Park, Oleksandra Gulenko, Won‐Kyu Rhim, Jwa‐Min Nam, Gyeong‐Hwan Kim, Shalik Ram Joshi, Gun-Ho Kim and Magdalena Borkowska. Their work appears in journals such as Small, Journal of the American Chemical Society, Biosensors and Bioelectronics, Nano Letters and Advanced Functional Materials.

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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