Shantanu Kumar

13 papers receiving 1.3k citations

Shantanu Kumar's Hit Papers

Rapid and highly efficient mammalian cell engineering via Cas9 protein transfection 2015 · 588 citations
5880+3+7Years since publication100200300400500

Peers

Shantanu Kumar
Comparison fields: 5 of 82
  • Aging 64
  • Business and International Management 73
  • Molecular Biology 1.1k
  • Genetics 387
  • Biotechnology 60
Replace Nathaniel Wang with:
Nathaniel Wang United States
Eugene Chung South Korea
Rhiannon K. Macrae United States
Michael A. Collingwood United States
Timm Weber Germany
Turan Demircan Türkiye
Ya-Li Lee United States
Josephine M. Janssen Netherlands
Richard Gabriel Germany
Jason Cheng United States
Shantanu Kumar relative to Nathaniel Wang United States Nathaniel Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shantanu Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Shantanu Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Rapid and highly efficient mammalian cell engineering via Cas9 protein transfection
Hit paper breakdown →
2015588
2 2013246
3 2016187
4 2016141
5
Virus combinations and chemotherapy for the treatment of human cancers.
200883
6 200933
7 200723
8 201718
9 201515
10 20047
11 20144
12 20222
13 20141
14 20240

About Shantanu Kumar

Shantanu Kumar is a scholar working on Molecular Biology, Plant Science, Pharmacology, Genetics and Biotechnology, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), CRISPR and Genetic Engineering (3 papers), Pluripotent Stem Cells Research (2 papers), Insect Resistance and Genetics (2 papers), Virus-based gene therapy research (2 papers), Genetically Modified Organisms Research (1 paper), Drug-Induced Hepatotoxicity and Protection (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Aging (64 citations), Business and International Management (73 citations), Molecular Biology (1.1k citations), Genetics (387 citations) and Biotechnology (60 citations). Shantanu Kumar has collaborated with scholars based in United States, India and New Zealand. Frequent co-authors include Xiquan Liang, Namritha Ravinder, Jonathan D. Chesnut, Jason Potter, Yanfei Zou, Sridhar Ranganathan, Wen Chen, Rene H. Quintanilla, Mahalakshmi Sridharan and Jason Carte. Their work appears in journals such as Journal of Biotechnology, Cell stem cell, Journal of Virology, World Journal of Microbiology and Biotechnology and Optometry and Vision Science.

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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