Arjun Biddanda
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genetic diversity and population structure
- Forensic and Genetic Research
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Evolution and Genetic Dynamics
Papers in
- Genetics 12
- Genetic Associations and Epidemiology 8
- Forensic and Genetic Research 6
- Genetic diversity and population structure 4
- Genetic Mapping and Diversity in Plants and Animals 3
- Genomics and Rare Diseases 2
- Race, Genetics, and Society 2
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
- Co-authors
- John Novembre (4 shared papers)Alon Keinan (3 shared papers)Daniel P. Rice (2 shared papers)Zilu Zhou (1 shared paper)Feng Gao (1 shared paper)Li Ma (1 shared paper)Diana Chang (1 shared paper)Yingjie Guo (1 shared paper)
- Journals
- Nature Genetics (2 papers)Nature (2 papers)Cell Genomics (1 paper)Journal of Heredity (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Arjun Biddanda
10 papers receiving 274 citations
Peers
Comparison fields: 5 of 76
- Genetics 176
- Aging 3
- Archeology 12
- Molecular Biology 72
- Paleontology 6
Countries citing papers authored by Arjun Biddanda
This map shows the geographic impact of Arjun Biddanda'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 Arjun Biddanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Biddanda more than expected).
Fields of papers citing papers by Arjun Biddanda
This network shows the impact of papers produced by Arjun Biddanda. 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 Arjun Biddanda. The network helps show where Arjun Biddanda may publish in the future.
Co-authors
The 25 scholars most cited alongside Arjun Biddanda, 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 | 2015 | 80 | |
| 2 | 2018 | 59 | |
| 3 | 2023 | 46 | |
| 4 | 2020 | 37 | |
| 5 | 2024 | 22 | |
| 6 | 2016 | 13 | |
| 7 | 2016 | 10 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2026 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2026 | 0 | |
| 14 | 2025 | 0 |
About Arjun Biddanda
Arjun Biddanda is a scholar working on Genetics, Molecular Biology, Archeology, Cancer Research and Infectious Diseases, having authored 14 papers that have together received 277 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Forensic and Genetic Research (6 papers), Genetic diversity and population structure (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genomics and Rare Diseases (2 papers), Race, Genetics, and Society (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Genetics (176 citations), Aging (3 citations), Archeology (12 citations), Molecular Biology (72 citations) and Paleontology (6 citations). Arjun Biddanda has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include John Novembre, Alon Keinan, Daniel P. Rice, Zilu Zhou, Feng Gao, Li Ma, Diana Chang, Yingjie Guo, Pier Francesco Palamara and Fergus Cooper. Their work appears in journals such as Nature Genetics, Nature, Cell Genomics, Journal of Heredity and Current Biology.
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.