Gopuraja Dharmalingam
- Cancer Research top 10%
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Aging top 10%
- Molecular Biology top 10%
- CRISPR and Genetic Engineering 5
- Genomics and Chromatin Dynamics 5
- Pluripotent Stem Cells Research 4
- Epigenetics and DNA Methylation 4
- RNA Research and Splicing 3
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- Telomeres, Telomerase, and Senescence 3
- Co-authors
- Margherita MutarelliSandro BanfiVincenzo BelcastroMarco SardielloAmanda G. FisherVincenzo A. GennarinoMatthias MerkenschlagerPasquale Verde
- Journals
- Nucleic Acids Research (1 paper)Nature Communications (4 papers)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Gopuraja Dharmalingam
26 papers receiving 939 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 251
- Aging 21
- Molecular Biology 707
- Immunology 131
- Hematology 51
Countries citing papers authored by Gopuraja Dharmalingam
This map shows the geographic impact of Gopuraja Dharmalingam'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 Gopuraja Dharmalingam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gopuraja Dharmalingam more than expected).
Fields of papers citing papers by Gopuraja Dharmalingam
This network shows the impact of papers produced by Gopuraja Dharmalingam. 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 Gopuraja Dharmalingam. The network helps show where Gopuraja Dharmalingam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gopuraja Dharmalingam, 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 | 2025 | 1 | |
| 2 | 2023 | 26 | |
| 3 | 2023 | 10 | |
| 4 | 2022 | 11 | |
| 5 | 2021 | 26 | |
| 6 | 2021 | 14 | |
| 7 | 2020 | 7 | |
| 8 | 2019 | 15 | |
| 9 | 2018 | 3 | |
| 10 | 2017 | 45 | |
| 11 | 2017 | 11 | |
| 12 | 2016 | 21 | |
| 13 | 2016 | 21 | |
| 14 | 2015 | 25 | |
| 15 | 2013 | 96 | |
| 16 | 2013 | 38 | |
| 17 | 2013 | 30 | |
| 18 | 2013 | 11 | |
| 19 | 2012 | 150 | |
| 20 | 2011 | 49 |
About Gopuraja Dharmalingam
Gopuraja Dharmalingam is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 26 papers that have together received 947 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), CRISPR and Genetic Engineering (5 papers), Genomics and Chromatin Dynamics (5 papers), Pluripotent Stem Cells Research (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (4 papers), Telomeres, Telomerase, and Senescence (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (251 citations), Aging (21 citations) and Molecular Biology (707 citations). Gopuraja Dharmalingam has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Margherita Mutarelli, Sandro Banfi, Vincenzo Belcastro, Marco Sardiello, Amanda G. Fisher, Vincenzo A. Gennarino, Matthias Merkenschlager, Pasquale Verde, Serena Fernandez and Andrea Ballabio. Their work appears in journals such as Nucleic Acids Research, Nature Communications and The Journal of Experimental 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.