Sameer Paithankar
Impact in
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- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
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- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Genetic Associations and Epidemiology
Papers in
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- Epigenetics and DNA Methylation 1
- Gene expression and cancer classification 1
- Gut microbiota and health 1
- Genetics 4
- Genomics and Rare Diseases 4
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Aleksandar Milosavljevic (8 shared papers)Cristian Coarfa (6 shared papers)Andrew R. Jackson (6 shared papers)Danny Challis (3 shared papers)Jin Yu (3 shared papers)Fuli Yu (3 shared papers)Uday S. Evani (3 shared papers)Richard A. Gibbs (1 shared paper)
- Journals
- BMC Bioinformatics (3 papers)Nature Communications (1 paper)PROTEOMICS (1 paper)BMC Genomics (1 paper)Genome Medicine (1 paper)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Sameer Paithankar
9 papers receiving 396 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 90
- Genetics 142
- Molecular Biology 211
- Biological Psychiatry 3
- Horticulture 1
Countries citing papers authored by Sameer Paithankar
This map shows the geographic impact of Sameer Paithankar'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 Sameer Paithankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer Paithankar more than expected).
Fields of papers citing papers by Sameer Paithankar
This network shows the impact of papers produced by Sameer Paithankar. 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 Sameer Paithankar. The network helps show where Sameer Paithankar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sameer Paithankar, 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 | 2012 | 161 | |
| 2 | 2015 | 60 | |
| 3 | 2012 | 44 | |
| 4 | 2017 | 43 | |
| 5 | 2012 | 39 | |
| 6 | 2018 | 26 | |
| 7 | 2014 | 17 | |
| 8 | 2009 | 11 | |
| 9 | 2011 | 1 |
About Sameer Paithankar
Sameer Paithankar is a scholar working on Molecular Biology, Genetics, Computer Networks and Communications, Information Systems and Management and Infectious Diseases, having authored 9 papers that have together received 402 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (4 papers), Scientific Computing and Data Management (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Epigenetics and DNA Methylation (1 paper), Gene expression and cancer classification (1 paper), Advanced Data Storage Technologies (1 paper), Gut microbiota and health (1 paper) and Insect symbiosis and bacterial influences (1 paper). The work is most often cited by research in Cancer Research (90 citations), Genetics (142 citations), Molecular Biology (211 citations), Biological Psychiatry (3 citations) and Horticulture (1 citation). Sameer Paithankar has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Aleksandar Milosavljevic, Cristian Coarfa, Andrew R. Jackson, Danny Challis, Jin Yu, Fuli Yu, Uday S. Evani, Richard A. Gibbs, Kevin Riehle and Viren Amin. Their work appears in journals such as BMC Bioinformatics, Nature Communications, PROTEOMICS, BMC Genomics and Genome Medicine.
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.