Pankaj Kumar
Impact in
- Oncology top 5%
- Viral-associated cancers and disorders
- Molecular Medicine top 5%
Papers in
- Oncology 19
- Viral-associated cancers and disorders 7
- Cancer-related Molecular Pathways 5
- Co-authors
- Erle S. Robertson (7 shared papers)Masanao Murakami (6 shared papers)Abhik Saha (5 shared papers)Frédéric Bard (4 shared papers)Gyanu Lamichhane (8 shared papers)Dimitri Moreau (3 shared papers)Qiliang Cai (4 shared papers)Yuriy L. Orlov (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)International Journal of Biological Macromolecules (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Nature Chemical Biology (2 papers)Journal of Virology (2 papers)
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Pankaj Kumar
64 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 99
- Oncology 430
- Molecular Medicine 82
- Infectious Diseases 265
- Immunology 255
- Epidemiology 382
Countries citing papers authored by Pankaj Kumar
This map shows the geographic impact of Pankaj 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 Pankaj Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pankaj Kumar more than expected).
Fields of papers citing papers by Pankaj Kumar
This network shows the impact of papers produced by Pankaj 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 Pankaj Kumar. The network helps show where Pankaj Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pankaj 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 371 | |
| 2 | 2016 | 114 | |
| 3 | 2009 | 93 | |
| 4 | 2009 | 89 | |
| 5 | 2016 | 76 | |
| 6 | 2009 | 72 | |
| 7 | 2011 | 68 | |
| 8 | 2018 | 58 | |
| 9 | 2017 | 55 | |
| 10 | 2011 | 54 | |
| 11 | 2019 | 53 | |
| 12 | 2013 | 47 | |
| 13 | 2009 | 40 | |
| 14 | 2017 | 39 | |
| 15 | 2015 | 29 | |
| 16 | 2009 | 29 | |
| 17 | 2015 | 18 | |
| 18 | 2017 | 16 | |
| 19 | 2014 | 16 | |
| 20 | 2009 | 16 |
About Pankaj Kumar
Pankaj Kumar is a scholar working on Molecular Biology, Oncology, Epidemiology, Immunology and Infectious Diseases, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Viral-associated cancers and disorders (7 papers), Mycobacterium research and diagnosis (6 papers), Antibiotic Resistance in Bacteria (5 papers), Immunotherapy and Immune Responses (5 papers), Cancer-related Molecular Pathways (5 papers), Cytomegalovirus and herpesvirus research (5 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Oncology (430 citations), Molecular Medicine (82 citations), Infectious Diseases (265 citations), Immunology (255 citations) and Epidemiology (382 citations). Pankaj Kumar has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Erle S. Robertson, Masanao Murakami, Abhik Saha, Frédéric Bard, Gyanu Lamichhane, Dimitri Moreau, Qiliang Cai, Yuriy L. Orlov, Yang Lin and Neil D. Clarke. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Biological Macromolecules, Antimicrobial Agents and Chemotherapy, Nature Chemical Biology and Journal of Virology.
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.