Jatin Kumar

834 total citations
25 papers, 578 citations indexed

About

Jatin Kumar is a scholar working on Materials Chemistry, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Jatin Kumar has authored 25 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 7 papers in Organic Chemistry and 7 papers in Molecular Biology. Recurrent topics in Jatin Kumar's work include Dendrimers and Hyperbranched Polymers (6 papers), RNA Interference and Gene Delivery (6 papers) and Machine Learning in Materials Science (5 papers). Jatin Kumar is often cited by papers focused on Dendrimers and Hyperbranched Polymers (6 papers), RNA Interference and Gene Delivery (6 papers) and Machine Learning in Materials Science (5 papers). Jatin Kumar collaborates with scholars based in Singapore, Australia and China. Jatin Kumar's co-authors include Martina H. Stenzel, Gaojian Chen, Ye Liu, Qianxiao Li, Jun Ye, Andrew M. Gregory, Weiren Cheng, Tonio Buonassisi, Antoine Bousquet and Chee Leng Lay and has published in prestigious journals such as Advanced Functional Materials, Chemical Communications and Carbon.

In The Last Decade

Jatin Kumar

24 papers receiving 575 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jatin Kumar Singapore 12 209 200 184 132 126 25 578
Aaron Hall United States 8 157 0.8× 198 1.0× 228 1.2× 134 1.0× 221 1.8× 10 720
Wencong Wang United States 8 223 1.1× 187 0.9× 137 0.7× 94 0.7× 93 0.7× 12 488
Sanrong Liu China 18 102 0.5× 390 1.9× 231 1.3× 223 1.7× 311 2.5× 39 977
Yen‐Nan Lin United States 13 100 0.5× 212 1.1× 95 0.5× 143 1.1× 251 2.0× 23 552
Nathaniel H. Park United States 17 144 0.7× 640 3.2× 241 1.3× 222 1.7× 233 1.8× 27 1.0k
Han Sun China 17 292 1.4× 117 0.6× 167 0.9× 215 1.6× 67 0.5× 34 711
Tzyy‐Shyang Lin United States 11 190 0.9× 187 0.9× 50 0.3× 78 0.6× 76 0.6× 17 539
Zachary P. Tolstyka United States 14 131 0.6× 437 2.2× 324 1.8× 105 0.8× 184 1.5× 14 762
Nanzhi Zang United States 14 178 0.9× 122 0.6× 244 1.3× 207 1.6× 166 1.3× 20 710

Countries citing papers authored by Jatin Kumar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jatin Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Jatin Kumar. A scholar is included among the top collaborators of Jatin Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jatin Kumar. Jatin Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tan, Jin Da, Balamurugan Ramalingam, Swee Liang Wong, et al.. (2023). Transfer Learning of Full Molecular Weight Distributions via High-Throughput Computer-Controlled Polymerization. Journal of Chemical Information and Modeling. 63(15). 4560–4573. 10 indexed citations
2.
Soh, Beatrice W., et al.. (2023). Automated pipetting robot for proxy high-throughput viscometry of Newtonian fluids. Digital Discovery. 2(2). 481–488. 7 indexed citations
3.
4.
Bash, Daniil, Zekun Ren, Jayce Jian Wei Cheng, et al.. (2022). Accelerated automated screening of viscous graphene suspensions with various surfactants for optimal electrical conductivity. Digital Discovery. 1(2). 139–146. 9 indexed citations
5.
Bash, Daniil, Vijila Chellappan, Swee Liang Wong, et al.. (2021). Multi‐Fidelity High‐Throughput Optimization of Electrical Conductivity in P3HT‐CNT Composites. Advanced Functional Materials. 31(36). 34 indexed citations
6.
Kumar, Jatin, et al.. (2019). Machine learning enables polymer cloud-point engineering via inverse design. npj Computational Materials. 5(1). 71 indexed citations
7.
Kumar, Jatin, Qianxiao Li, & Jun Ye. (2019). Challenges and opportunities of polymer design with machine learning and high throughput experimentation. MRS Communications. 9(2). 537–544. 52 indexed citations
8.
Kumar, Jatin, et al.. (2018). The effective treatment of multi-drug resistant tumors with self-assembling alginate copolymers. Polymer Chemistry. 10(2). 278–286. 12 indexed citations
9.
Cheng, Weiren, Jatin Kumar, Guan Wang, Xiaoyong Pan, & Ye Liu. (2017). Redox-responsive polymers for anti-cancer drug delivery and bioimaging. Journal of Controlled Release. 259. e140–e140. 1 indexed citations
10.
Paramelle, David, Sergey Gorelik, Ye Liu, & Jatin Kumar. (2016). Photothermally responsive gold nanoparticle conjugated polymer-grafted porous hollow silica nanocapsules. Chemical Communications. 52(64). 9897–9900. 9 indexed citations
11.
Cheng, Weiren, Guan Wang, Jatin Kumar, & Ye Liu. (2015). Surfactant‐Free Emulsion‐Based Preparation of Redox‐Responsive Nanogels. Macromolecular Rapid Communications. 36(23). 2102–2106. 6 indexed citations
12.
Dou, Qingqing, et al.. (2015). Cationic Micelles Based on Polyhedral Oligomeric Silsesquioxanes for Enhanced Gene Transfection. Australian Journal of Chemistry. 69(4). 363–371. 22 indexed citations
13.
Wang, Guan, Xiaoyong Pan, Liuqun Gu, et al.. (2014). Fluorescent carbon dot (C-dot) nanoclusters. Nanotechnology. 25(37). 375601–375601. 6 indexed citations
14.
Wang, Guan, Xiaoyong Pan, Jatin Kumar, & Ye Liu. (2014). One-step synthesis of hollow carbon nanospheres in non-coordinating solvent. Carbon. 83. 180–182. 16 indexed citations
15.
Yuan, Ping, Decheng Wu, Jatin Kumar, et al.. (2013). Redox-Responsive Hyperbranched Poly(amido amine)s with Tertiary Amino Cores for Gene Delivery. Biomacromolecules. 14(6). 2083–2094. 62 indexed citations
16.
Cheng, Weiren, Jatin Kumar, Yong Zhang, & Ye Liu. (2013). pH‐ and Redox‐Responsive Poly(ethylene glycol) and Cholesterol‐Conjugated Poly(amido amine)s Based Micelles for Controlled Drug Delivery. Macromolecular Bioscience. 14(3). 347–358. 24 indexed citations
17.
Kumar, Jatin, Antoine Bousquet, & Martina H. Stenzel. (2011). Thiol‐alkyne Chemistry for the Preparation of Micelles with Glycopolymer Corona: Dendritic Surfaces versus Linear Glycopolymer in Their Ability to Bind to Lectins. Macromolecular Rapid Communications. 32(20). 1620–1626. 40 indexed citations
18.
19.
Chen, Gaojian, Jatin Kumar, Andrew M. Gregory, & Martina H. Stenzel. (2009). Efficient synthesis of dendrimers via a thiol–yne and esterification process and their potential application in the delivery of platinum anti-cancer drugs. Chemical Communications. 6291–6291. 102 indexed citations
20.
Shah, M. A. & Jatin Kumar. (2008). SYNTHESIS AND CHARACTERIZATION OF ALFA-Al2O3 NANORODS PREPARED BY A SIMPLE ALUMINUM-WATER REACTION. 2(1). 1 indexed citations

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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