Jatin Kumar
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Polymers and Plastics top 10%
- Dendrimers and Hyperbranched Polymers
Papers in
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- Machine Learning in Materials Science 5
- Carbon and Quantum Dots Applications 2
- Graphene research and applications 2
-
- Advanced Polymer Synthesis and Characterization 4
- Co-authors
- Martina H. Stenzel (3 shared papers)Gaojian Chen (2 shared papers)Ye Liu (10 shared papers)Qianxiao Li (3 shared papers)Jun Ye (2 shared papers)Andrew M. Gregory (1 shared paper)Weiren Cheng (5 shared papers)Antoine Bousquet (1 shared paper)
In The Last Decade
Jatin Kumar
24 papers receiving 624 citations
Peers
Comparison fields: 5 of 78
- Biomaterials 136
- Polymers and Plastics 129
- Organic Chemistry 217
- Molecular Medicine 31
- Materials Chemistry 213
Countries citing papers authored by Jatin Kumar
This map shows the geographic impact of Jatin 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 Jatin Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jatin Kumar more than expected).
Fields of papers citing papers by Jatin Kumar
This network shows the impact of papers produced by Jatin 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 Jatin Kumar. The network helps show where Jatin Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Jatin 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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 108 | |
| 2 | 2019 | 76 | |
| 3 | 2013 | 66 | |
| 4 | 2019 | 55 | |
| 5 | 2011 | 51 | |
| 6 | 2011 | 44 | |
| 7 | 2021 | 34 | |
| 8 | 2013 | 28 | |
| 9 | 2015 | 24 | |
| 10 | 2015 | 22 | |
| 11 | 2014 | 17 | |
| 12 | 2018 | 14 | |
| 13 | 2013 | 13 | |
| 14 | 2023 | 13 | |
| 15 | 2016 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2013 | 9 | |
| 18 | 2023 | 9 | |
| 19 | 2017 | 7 | |
| 20 | 2015 | 7 |
About Jatin Kumar
Jatin Kumar is a scholar working on Materials Chemistry, Organic Chemistry, Molecular Biology, Polymers and Plastics and Biomaterials, having authored 25 papers that have together received 627 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Dendrimers and Hyperbranched Polymers (6 papers), Machine Learning in Materials Science (5 papers), Advanced Polymer Synthesis and Characterization (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Advanced Memory and Neural Computing (2 papers), Carbon and Quantum Dots Applications (2 papers) and Graphene research and applications (2 papers). The work is most often cited by research in Biomaterials (136 citations), Polymers and Plastics (129 citations), Organic Chemistry (217 citations), Molecular Medicine (31 citations) and Materials Chemistry (213 citations). Jatin Kumar has collaborated with scholars based in Singapore, China and Australia. Frequent co-authors include Martina H. Stenzel, Gaojian Chen, Ye Liu, Qianxiao Li, Jun Ye, Andrew M. Gregory, Weiren Cheng, Antoine Bousquet, Tonio Buonassisi and Chee Leng Lay. Their work appears in journals such as Macromolecular Rapid Communications, Chemical Communications, Polymer Chemistry, Australian Journal of Chemistry and Journal of Controlled Release.
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.