Anand Bhaskar
Impact in
- Genetics top 10%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
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- Genomics and Phylogenetic Studies
- DNA Repair Mechanisms
- Single-cell and spatial transcriptomics
Papers in
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- Gene expression and cancer classification 5
- DNA Repair Mechanisms 2
- Fungal and yeast genetics research 2
- Single-cell and spatial transcriptomics 2
- Genetics 11
- Evolution and Genetic Dynamics 6
- Genetic diversity and population structure 5
- Genetic Associations and Epidemiology 4
- Co-authors
- Yun S. Song (9 shared papers)Jonathan K. Pritchard (2 shared papers)Y. X. Rachel Wang (1 shared paper)Arbel Harpak (1 shared paper)Andrew G. Clark (1 shared paper)Matthias Steinrücken (1 shared paper)Audrey Qiuyan Fu (1 shared paper)Towfique Raj (1 shared paper)
- Journals
- Advances in Applied Probability (4 papers)Bioinformatics (2 papers)PLoS Genetics (2 papers)The American Journal of Human Genetics (1 paper)The Annals of Applied Statistics (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Anand Bhaskar
17 papers receiving 414 citations
Peers
Comparison fields: 5 of 59
- Genetics 271
- Molecular Biology 204
- Mathematical Physics 17
- Cancer Research 16
- Paleontology 7
Countries citing papers authored by Anand Bhaskar
This map shows the geographic impact of Anand Bhaskar'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 Anand Bhaskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anand Bhaskar more than expected).
Fields of papers citing papers by Anand Bhaskar
This network shows the impact of papers produced by Anand Bhaskar. 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 Anand Bhaskar. The network helps show where Anand Bhaskar may publish in the future.
Co-authors
The 25 scholars most cited alongside Anand Bhaskar, 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 | 2017 | 76 | |
| 2 | 2015 | 55 | |
| 3 | 2014 | 49 | |
| 4 | 2010 | 44 | |
| 5 | 2014 | 43 | |
| 6 | 2014 | 42 | |
| 7 | 2016 | 42 | |
| 8 | 2009 | 13 | |
| 9 | 2012 | 9 | |
| 10 | 2012 | 7 | |
| 11 | 2012 | 7 | |
| 12 | 2008 | 6 | |
| 13 | 2012 | 6 | |
| 14 | 2016 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2010 | 3 | |
| 17 | 2022 | 2 |
About Anand Bhaskar
Anand Bhaskar is a scholar working on Molecular Biology, Genetics, Cancer Research, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 17 papers that have together received 414 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (6 papers), Gene expression and cancer classification (5 papers), Genetic diversity and population structure (5 papers), Genetic Associations and Epidemiology (4 papers), DNA Repair Mechanisms (2 papers), Cancer Genomics and Diagnostics (2 papers), Fungal and yeast genetics research (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Genetics (271 citations), Molecular Biology (204 citations), Mathematical Physics (17 citations), Cancer Research (16 citations) and Paleontology (7 citations). Anand Bhaskar has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Yun S. Song, Jonathan K. Pritchard, Y. X. Rachel Wang, Arbel Harpak, Andrew G. Clark, Matthias Steinrücken, Audrey Qiuyan Fu, Towfique Raj, David E. Golan and Diego Calderon. Their work appears in journals such as Advances in Applied Probability, Bioinformatics, PLoS Genetics, The American Journal of Human Genetics and The Annals of Applied Statistics.
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.