Aditya Pimplaskar
Impact in
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- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- BRCA gene mutations in cancer
- Nutrition, Genetics, and Disease
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- NF-κB Signaling Pathways
Papers in
- Genetics 3
- Genetic Associations and Epidemiology 3
- Genetic Mapping and Diversity in Plants and Animals 1
- Genetic and phenotypic traits in livestock 1
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- RNA regulation and disease 1
- Co-authors
- Kristin Boulier (2 shared papers)Ella Petter (1 shared paper)Yi Ding (2 shared papers)Florian Privé (1 shared paper)Loes M. Olde Loohuis (4 shared papers)Bjarni J. Vilhjálmsson (1 shared paper)Bogdan Paşaniuc (2 shared papers)Kangcheng Hou (2 shared papers)
- Journals
- The American Journal of Human Genetics (2 papers)Molecular Cell (1 paper)Bipolar Disorders (1 paper)Cell Reports (1 paper)Nature (1 paper)
- Partner nations
- United StatesColombiaDenmark
In The Last Decade
Aditya Pimplaskar
5 papers receiving 166 citations
Aditya Pimplaskar's Hit Papers
Peers
Comparison fields: 5 of 57
- Genetics 75
- Cancer Research 31
- Immunology 26
- Biological Psychiatry 2
- Neurology 5
Countries citing papers authored by Aditya Pimplaskar
This map shows the geographic impact of Aditya Pimplaskar'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 Aditya Pimplaskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Pimplaskar more than expected).
Fields of papers citing papers by Aditya Pimplaskar
This network shows the impact of papers produced by Aditya Pimplaskar. 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 Aditya Pimplaskar. The network helps show where Aditya Pimplaskar may publish in the future.
Co-authors
The 25 scholars most cited alongside Aditya Pimplaskar, 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 | Polygenic scoring accuracy varies across the genetic ancestry continuum Hit paper breakdown → | 2023 | 106 |
| 2 | 2020 | 54 | |
| 3 | 2024 | 4 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2026 | 0 |
About Aditya Pimplaskar
Aditya Pimplaskar is a scholar working on Genetics, Molecular Biology, Immunology, Experimental and Cognitive Psychology and Statistics and Probability, having authored 6 papers that have together received 168 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), NF-κB Signaling Pathways (1 paper), Mental Health Research Topics (1 paper), Genetic and phenotypic traits in livestock (1 paper), Statistical Methods and Inference (1 paper), RNA regulation and disease (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Genetics (75 citations), Cancer Research (31 citations), Immunology (26 citations), Biological Psychiatry (2 citations) and Neurology (5 citations). Aditya Pimplaskar has collaborated with scholars based in United States, Colombia and Denmark. Frequent co-authors include Kristin Boulier, Ella Petter, Yi Ding, Florian Privé, Loes M. Olde Loohuis, Bjarni J. Vilhjálmsson, Bogdan Paşaniuc, Kangcheng Hou, Ziqi Xu and Alexander Hoffmann. Their work appears in journals such as The American Journal of Human Genetics, Molecular Cell, Bipolar Disorders, Cell Reports and Nature.
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.