Niraj K. Nirala
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in
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- Genomics and Phylogenetic Studies 2
- CRISPR and Genetic Engineering 2
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- Plant Virus Research Studies 2
- Chromosomal and Genetic Variations 2
- Co-authors
- U. Rajendra Acharya (3 shared papers)Takeshi Bamba (3 shared papers)Eiichiro Fukusaki (3 shared papers)Y. Tony Ip (7 shared papers)Lihua Julie Zhu (5 shared papers)Jairaj Acharya (3 shared papers)Qi Li (5 shared papers)Motiur Rahman (2 shared papers)
- Journals
- The Journal of Cell Biology (2 papers)Physiology and Molecular Biology of Plants (1 paper)Nature Communications (1 paper)PLoS Genetics (1 paper)Stem Cell Reports (1 paper)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Niraj K. Nirala
15 papers receiving 274 citations
Peers
Comparison fields: 5 of 61
- Geriatrics and Gerontology 59
- Aging 14
- Cell Biology 54
- Cellular and Molecular Neuroscience 49
- Molecular Biology 154
Countries citing papers authored by Niraj K. Nirala
This map shows the geographic impact of Niraj K. Nirala'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 K. Nirala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niraj K. Nirala more than expected).
Fields of papers citing papers by Niraj K. Nirala
This network shows the impact of papers produced by Niraj K. Nirala. 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 K. Nirala. The network helps show where Niraj K. Nirala may publish in the future.
Co-authors
The 25 scholars most cited alongside Niraj K. Nirala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 89 | |
| 2 | 2018 | 38 | |
| 3 | 2011 | 33 | |
| 4 | 2013 | 23 | |
| 5 | 2020 | 16 | |
| 6 | 2023 | 13 | |
| 7 | 2015 | 12 | |
| 8 | 2021 | 10 | |
| 9 | 2019 | 10 | |
| 10 | 2011 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2015 | 4 | |
| 15 | 2011 | 2 |
About Niraj K. Nirala
Niraj K. Nirala is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Immunology and Cell Biology, having authored 15 papers that have together received 278 indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (4 papers), Neurobiology and Insect Physiology Research (4 papers), Genomics and Phylogenetic Studies (2 papers), Plant Virus Research Studies (2 papers), Chromosomal and Genetic Variations (2 papers), CRISPR and Genetic Engineering (2 papers), Circadian rhythm and melatonin (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Geriatrics and Gerontology (59 citations), Aging (14 citations), Cell Biology (54 citations), Cellular and Molecular Neuroscience (49 citations) and Molecular Biology (154 citations). Niraj K. Nirala has collaborated with scholars based in United States, Japan and India. Frequent co-authors include U. Rajendra Acharya, Takeshi Bamba, Eiichiro Fukusaki, Y. Tony Ip, Lihua Julie Zhu, Jairaj Acharya, Qi Li, Motiur Rahman, David G. Lambright and Junhao Mao. Their work appears in journals such as The Journal of Cell Biology, Physiology and Molecular Biology of Plants, Nature Communications, PLoS Genetics and Stem Cell Reports.
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.