Pawan Kumar
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune cells in cancer
- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Plant tissue culture and regeneration 6
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- Plant Molecular Biology Research 5
- Co-authors
- Subramaniam Malarkannan (7 shared papers)Evan Z. Macosko (1 shared paper)Paola Arlotta (1 shared paper)Daniela J. Di Bella (1 shared paper)Jilong Li (1 shared paper)Robert R. Stickels (1 shared paper)Jamie L. Marshall (1 shared paper)Fei Chen (1 shared paper)
- Journals
- Microbial Pathogenesis (3 papers)PROTOPLASMA (2 papers)Plants (2 papers)Journal of Ethnopharmacology (2 papers)Transboundary and Emerging Diseases (1 paper)
- Partner nations
- IndiaUnited StatesIsrael
In The Last Decade
Pawan Kumar
95 papers receiving 2.0k citations
Pawan Kumar's Hit Papers
Peers
Comparison fields: 5 of 129
- Immunology 480
- Biophysics 108
- Molecular Biology 925
- Toxicology 37
- Agronomy and Crop Science 99
Countries citing papers authored by Pawan Kumar
This map shows the geographic impact of Pawan 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 Pawan Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pawan Kumar more than expected).
Fields of papers citing papers by Pawan Kumar
This network shows the impact of papers produced by Pawan 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 Pawan Kumar. The network helps show where Pawan Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pawan 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Highly sensitive spatial transcriptomics at near-cellular resolution with Slide-seqV2 Hit paper breakdown → | 2020 | 708 |
| 2 | 2012 | 158 | |
| 3 | 2022 | 87 | |
| 4 | 2013 | 73 | |
| 5 | 2021 | 66 | |
| 6 | 2004 | 59 | |
| 7 | 2009 | 59 | |
| 8 | 2022 | 49 | |
| 9 | 2015 | 45 | |
| 10 | 2014 | 42 | |
| 11 | 2018 | 40 | |
| 12 | 2013 | 39 | |
| 13 | 2009 | 38 | |
| 14 | 2015 | 38 | |
| 15 | 2010 | 27 | |
| 16 | 2011 | 25 | |
| 17 | 2012 | 23 | |
| 18 | 2013 | 23 | |
| 19 | 2019 | 22 | |
| 20 | 2016 | 21 |
About Pawan Kumar
Pawan Kumar is a scholar working on Molecular Biology, Plant Science, Epidemiology, Infectious Diseases and Immunology, having authored 102 papers that have together received 2.0k indexed citations. Recurring topics across this work include Microbial infections and disease research (8 papers), Immune Cell Function and Interaction (7 papers), Plant tissue culture and regeneration (6 papers), Veterinary Oncology Research (6 papers), Plant Molecular Biology Research (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Animal Disease Management and Epidemiology (5 papers) and Vector-Borne Animal Diseases (4 papers). The work is most often cited by research in Immunology (480 citations), Biophysics (108 citations), Molecular Biology (925 citations), Toxicology (37 citations) and Agronomy and Crop Science (99 citations). Pawan Kumar has collaborated with scholars based in India, United States and Israel. Frequent co-authors include Subramaniam Malarkannan, Evan Z. Macosko, Paola Arlotta, Daniela J. Di Bella, Jilong Li, Robert R. Stickels, Jamie L. Marshall, Fei Chen, Evan Murray and Monica S. Thakar. Their work appears in journals such as Microbial Pathogenesis, PROTOPLASMA, Plants, Journal of Ethnopharmacology and Transboundary and Emerging Diseases.
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.