Niraj Kumar
Impact in
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- Viral Infectious Diseases and Gene Expression in Insects
- Protein purification and stability
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
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- COVID-19 Clinical Research Studies
Papers in ⓘ
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- Antibiotic Resistance in Bacteria 3
- Co-authors
- Martin Clynes (5 shared papers)Patrick Gammell (4 shared papers)Niall Barron (2 shared papers)Paula Meleady (3 shared papers)Nicole Borth (3 shared papers)Chiranjib Banerjee (1 shared paper)Sheeja Jagadevan (1 shared paper)Jaskaran Kaur (2 shared papers)
- Journals
- Scientific Reports (3 papers)Journal of Biotechnology (3 papers)Frontiers in Cellular and Infection Microbiology (2 papers)Frontiers in Microbiology (2 papers)Zoonoses and Public Health (1 paper)
- Partner nations
- IndiaIrelandUnited States
In The Last Decade
Niraj Kumar
33 papers receiving 858 citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 544
- Infectious Diseases 114
- Biotechnology 50
- Endocrinology 29
- Genetics 150
Countries citing papers authored by Niraj Kumar
This map shows the geographic impact of Niraj 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 Niraj Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niraj Kumar more than expected).
Fields of papers citing papers by Niraj Kumar
This network shows the impact of papers produced by Niraj 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 Niraj Kumar. The network helps show where Niraj Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Niraj 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 143 | |
| 2 | 2007 | 122 | |
| 3 | 2010 | 84 | |
| 4 | 2011 | 72 | |
| 5 | 2007 | 69 | |
| 6 | 2018 | 65 | |
| 7 | 2008 | 60 | |
| 8 | 2020 | 46 | |
| 9 | 2011 | 39 | |
| 10 | 2020 | 28 | |
| 11 | 2007 | 21 | |
| 12 | 2012 | 21 | |
| 13 | 2019 | 14 | |
| 14 | 2008 | 13 | |
| 15 | 2024 | 12 | |
| 16 | 2021 | 10 | |
| 17 | 2022 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2024 | 6 |
About Niraj Kumar
Niraj Kumar is a scholar working on Molecular Medicine, Endocrinology, Applied Microbiology and Biotechnology, Parasitology and Clinical Biochemistry, having authored 43 papers that have together received 890 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (9 papers), Protein purification and stability (4 papers), Virus-based gene therapy research (3 papers), Viral Infections and Vectors (3 papers), Vector-borne infectious diseases (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Molecular Biology (544 citations), Infectious Diseases (114 citations), Biotechnology (50 citations), Endocrinology (29 citations) and Genetics (150 citations). Niraj Kumar has collaborated with scholars based in India, Ireland and United States. Frequent co-authors include Martin Clynes, Patrick Gammell, Niall Barron, Paula Meleady, Nicole Borth, Chiranjib Banerjee, Sheeja Jagadevan, Jaskaran Kaur, Juan A. Hernández Bort and Sankar Bhattacharyya. Their work appears in journals such as Scientific Reports, Journal of Biotechnology, Frontiers in Cellular and Infection Microbiology, Frontiers in Microbiology and Zoonoses and Public Health.
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.