Niraj Rai
Impact in
- Genetics top 2%
- Forensic and Genetic Research
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Cell Biology top 10%
- melanin and skin pigmentation
Papers in
- Genetics 33
- Forensic and Genetic Research 31
- Genetic diversity and population structure 1
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- Archaeology and ancient environmental studies 2
- Co-authors
- Kumarasamy Thangaraj K (21 shared papers)Gyaneshwer Chaubey (16 shared papers)Lalji Singh (5 shared papers)Mohammed Shafiul Mustak (4 shared papers)Amit Kaushik (2 shared papers)Nick Patterson (1 shared paper)David Reich (1 shared paper)Katta M. Girisha (1 shared paper)
- Journals
- Scientific Reports (4 papers)Mitochondrion (4 papers)Human Genetics (3 papers)European Journal of Human Genetics (3 papers)Genes (2 papers)
- Partner nations
- IndiaEstoniaUnited States
In The Last Decade
Niraj Rai
48 papers receiving 1.2k citations
Niraj Rai's Hit Papers
Peers
Comparison fields: 5 of 65
- Genetics 659
- Cell Biology 56
- Paleontology 39
- Archeology 35
- Archeology 4
Countries citing papers authored by Niraj Rai
This map shows the geographic impact of Niraj Rai'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 Rai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niraj Rai more than expected).
Fields of papers citing papers by Niraj Rai
This network shows the impact of papers produced by Niraj Rai. 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 Rai. The network helps show where Niraj Rai may publish in the future.
Co-authors
The 25 scholars most cited alongside Niraj Rai, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The formation of human populations in South and Central Asia Hit paper breakdown → | 2019 | 459 |
| 2 | 2017 | 128 | |
| 3 | 2013 | 95 | |
| 4 | 2020 | 79 | |
| 5 | 2019 | 62 | |
| 6 | 2018 | 38 | |
| 7 | 2017 | 33 | |
| 8 | 2012 | 32 | |
| 9 | 2017 | 25 | |
| 10 | 2018 | 22 | |
| 11 | 2014 | 19 | |
| 12 | 2016 | 19 | |
| 13 | 2019 | 19 | |
| 14 | 2016 | 18 | |
| 15 | 2023 | 16 | |
| 16 | 2020 | 12 | |
| 17 | 2018 | 11 | |
| 18 | 2018 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2023 | 10 |
About Niraj Rai
Niraj Rai is a scholar working on Genetics, Paleontology, Archeology, Cell Biology and Virology, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Forensic and Genetic Research (31 papers), Archaeology and ancient environmental studies (2 papers), Forensic Anthropology and Bioarchaeology Studies (2 papers), melanin and skin pigmentation (2 papers), Mitochondrial Function and Pathology (1 paper), Genetic diversity and population structure (1 paper), Genomics and Phylogenetic Studies (1 paper) and Livestock and Poultry Management (1 paper). The work is most often cited by research in Genetics (659 citations), Cell Biology (56 citations), Paleontology (39 citations), Archeology (35 citations) and Archeology (4 citations). Niraj Rai has collaborated with scholars based in India, Estonia and United States. Frequent co-authors include Kumarasamy Thangaraj K, Gyaneshwer Chaubey, Lalji Singh, Mohammed Shafiul Mustak, Amit Kaushik, Nick Patterson, David Reich, Katta M. Girisha, Sudha Srinivasan and Sujatha M. Jagadeesh. Their work appears in journals such as Scientific Reports, Mitochondrion, Human Genetics, European Journal of Human Genetics and Genes.
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.