Sameer Phalke
Impact in
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Aging top 10%
Papers in
-
- Epigenetics and DNA Methylation 7
- Cancer-related gene regulation 5
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 2
- Genetics 3
- Evolution and Genetic Dynamics 2
- Genomics and Rare Diseases 2
- Co-authors
- Günter Reuter (4 shared papers)Ernesto Guccione (3 shared papers)Marco Bezzi (3 shared papers)Thomas Jenuwein (2 shared papers)Valentina Migliori (2 shared papers)Diana Walluscheck (1 shared paper)Maria Cristina Onorati (1 shared paper)Diana H. P. Low (2 shared papers)
- Journals
- Scientific Reports (2 papers)Nature Communications (2 papers)Journal of Infection and Public Health (1 paper)Nature Genetics (1 paper)Epigenomics (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Sameer Phalke
21 papers receiving 2.0k citations
Sameer Phalke's Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.2k
- Aging 28
- Infectious Diseases 242
- Genetics 368
- Cancer Research 121
Countries citing papers authored by Sameer Phalke
This map shows the geographic impact of Sameer Phalke'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 Phalke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer Phalke more than expected).
Fields of papers citing papers by Sameer Phalke
This network shows the impact of papers produced by Sameer Phalke. 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 Phalke. The network helps show where Sameer Phalke may publish in the future.
Co-authors
The 25 scholars most cited alongside Sameer Phalke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The GenomeAsia 100K Project enables genetic discoveries across Asia Hit paper breakdown → | 2019 | 311 |
| 2 | 2012 | 283 | |
| 3 | 2007 | 207 | |
| 4 | 2005 | 183 | |
| 5 | 2009 | 157 | |
| 6 | 2008 | 152 | |
| 7 | 2021 | 142 | |
| 8 | 2018 | 129 | |
| 9 | 2022 | 118 | |
| 10 | 2012 | 92 | |
| 11 | 2018 | 80 | |
| 12 | 2020 | 57 | |
| 13 | 2010 | 47 | |
| 14 | 2021 | 47 | |
| 15 | 2023 | 22 | |
| 16 | 2020 | 18 | |
| 17 | 2018 | 15 | |
| 18 | 2020 | 12 | |
| 19 | 2021 | 5 | |
| 20 | 2024 | 2 |
About Sameer Phalke
Sameer Phalke is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 2.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Cancer-related gene regulation (5 papers), RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Evolution and Genetic Dynamics (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Aging (28 citations), Infectious Diseases (242 citations), Genetics (368 citations) and Cancer Research (121 citations). Sameer Phalke has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Günter Reuter, Ernesto Guccione, Marco Bezzi, Thomas Jenuwein, Valentina Migliori, Diana Walluscheck, Maria Cristina Onorati, Diana H. P. Low, Vladimir A. Kuznetsov and Tomasz Piotr Jurkowski. Their work appears in journals such as Scientific Reports, Nature Communications, Journal of Infection and Public Health, Nature Genetics and Epigenomics.
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.