Kenneth Raj
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 2%
- Epigenetics and DNA Methylation
- Developmental Biology and Gene Regulation
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
- Epidemiology 16
- Cervical Cancer and HPV Research 15
- Hepatitis B Virus Studies 6
- Co-authors
- Steve HorvathFreddy RadtkePeter BeardEric A. WhitselAke T. LuYun LiLuigi FerrucciAndrea Baccarelli
- Journals
- Journal of Virology (9 papers)Aging (2 papers)Nature (2 papers)Frontiers in Pharmacology (2 papers)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Kenneth Raj
34 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Aging 396
- Molecular Biology 4.0k
- Pediatrics, Perinatology and Child Health 819
- Genetics 965
- Geriatrics and Gerontology 129
Countries citing papers authored by Kenneth Raj
This map shows the geographic impact of Kenneth Raj'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 Kenneth Raj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Raj more than expected).
Fields of papers citing papers by Kenneth Raj
This network shows the impact of papers produced by Kenneth Raj. 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 Kenneth Raj. The network helps show where Kenneth Raj may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth Raj, 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 | DNA methylation-based biomarkers and the epigenetic clock theory of ageing Hit paper breakdown → | 2018 | 1768 |
| 2 | 2018 | 51 | |
| 3 | 2017 | 20 | |
| 4 | 2017 | 41 | |
| 5 | 2016 | 106 | |
| 6 | 2015 | 8 | |
| 7 | 2014 | 73 | |
| 8 | 2012 | 3 | |
| 9 | 2011 | 10 | |
| 10 | 2011 | 46 | |
| 11 | 2008 | 94 | |
| 12 | 2007 | 21 | |
| 13 | 2005 | 25 | |
| 14 | The role of Notch in tumorigenesis: oncogene or tumour suppressor? Hit paper breakdown → | 2003 | 630 |
| 15 | Notch1 functions as a tumor suppressor in mouse skin Hit paper breakdown → | 2003 | 776 |
| 16 | 2001 | 158 | |
| 17 | 2000 | 51 | |
| 18 | 1999 | 24 | |
| 19 | 1998 | 60 | |
| 20 | 1995 | 32 |
About Kenneth Raj
Kenneth Raj is a scholar working on Aging, Epidemiology, Oncology, Virology and Immunology, having authored 34 papers that have together received 6.0k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (15 papers), Cancer-related Molecular Pathways (10 papers), Hepatitis B Virus Studies (6 papers), Virus-based gene therapy research (5 papers), Epigenetics and DNA Methylation (4 papers), Genital Health and Disease (4 papers), RNA Research and Splicing (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (396 citations), Molecular Biology (4.0k citations), Pediatrics, Perinatology and Child Health (819 citations), Genetics (965 citations) and Geriatrics and Gerontology (129 citations). Kenneth Raj has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Steve Horvath, Freddy Radtke, Peter Beard, Eric A. Whitsel, Ake T. Lu, Yun Li, Luigi Ferrucci, Andrea Baccarelli, James G. Wilson and James D. Stewart. Their work appears in journals such as Journal of Virology, Aging, Nature, Frontiers in Pharmacology and Proceedings of the National Academy of Sciences.
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.