Niraj Rai

2.1k citations
49 papers · 470 · h-index 11

Impact in

  • Genetics top 10%
    • Forensic and Genetic Research
    • Genetic diversity and population structure
    • Genetic Associations and Epidemiology
  • Archeology top 5%
    • Forensic Anthropology and Bioarchaeology Studies

Papers in

    • Forensic and Genetic Research 25
    • Genetic diversity and population structure 13
    • Yersinia bacterium, plague, ectoparasites research 7
    • Race, Genetics, and Society 5
    • Genetic Associations and Epidemiology 3
    • Forensic Anthropology and Bioarchaeology Studies 15

Niraj Rai

41 papers receiving 460 citations

Peers

Niraj Rai
Comparison fields: 5 of 105
  • Genetics 189
  • Archeology 54
  • Paleontology 29
  • Infectious Diseases 66
  • Dermatology 31
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Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by Niraj Rai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Niraj Rai Line = papers co-authored together Niraj Rai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201792
2 201377
3 202071
4 201834
5 201618
6 202317
7 202313
8 201811
9 201811
10 202011
11 202310
12 20179
13 20178
14 20137
15 20236
16 20226
17 20206
18 20196
19 20225
20 20215

About Niraj Rai

Niraj Rai is a scholar working on Genetics, Archeology, Molecular Biology, Paleontology and Epidemiology, having authored 49 papers that have together received 470 indexed citations. Recurring topics across this work include Forensic and Genetic Research (25 papers), Forensic Anthropology and Bioarchaeology Studies (15 papers), Genetic diversity and population structure (13 papers), Yersinia bacterium, plague, ectoparasites research (7 papers), Archaeology and ancient environmental studies (7 papers), Identification and Quantification in Food (6 papers), Race, Genetics, and Society (5 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Genetics (189 citations), Archeology (54 citations), Paleontology (29 citations), Infectious Diseases (66 citations) and Dermatology (31 citations). Niraj Rai has collaborated with scholars based in India, United States and Estonia. Frequent co-authors include Kumarasamy Thangaraj, Gyaneshwer Chaubey, Lalji Singh, Mohammed S. Mustak, Mait Metspalu, Richard Villems, Rakesh Tamang, Anshika Srivastava, Toomas Kivisild and Gazi Nurun Nahar Sultana. Their work appears in journals such as Scientific Reports, Mitochondrion, Human Genetics, European Journal of Human Genetics and Frontiers in Genetics.

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.

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