Steve Horvath
Impact in
- Aging top 0.02%
- Molecular Biology top 0.01%
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Gene expression and cancer classification
Papers in
- Aging 27
- Genetics, Aging, and Longevity in Model Organisms 27
-
- Epigenetics and DNA Methylation 197
- Bioinformatics and Genomic Networks 50
- Gene expression and cancer classification 32
- Co-authors
- Peter LangfelderBin ZhangKenneth RajDaniel H. GeschwindNan M. LairdTao ShiJun DongXin Xu
- Journals
- Aging (27 papers)Aging Cell (19 papers)GeroScience (17 papers)Clinical Epigenetics (13 papers)Proceedings of the National Academy of Sciences (13 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Steve Horvath
434 papers receiving 70.2k citations
Hit Papers
Peers
Comparison fields: 5 of 222
- Aging 2.7k
- Molecular Biology 44.2k
- Cancer Research 8.3k
- Biological Psychiatry 1.3k
- Genetics 11.1k
Countries citing papers authored by Steve Horvath
This map shows the geographic impact of Steve Horvath'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 Steve Horvath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Horvath more than expected).
Fields of papers citing papers by Steve Horvath
This network shows the impact of papers produced by Steve Horvath. 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 Steve Horvath. The network helps show where Steve Horvath may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Horvath, 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 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 20 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 38 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 37 | |
| 11 | 2021 | 42 | |
| 12 | Reversal of epigenetic aging and immunosenescent trends in humans Hit paper breakdown → | 2019 | 310 |
| 13 | 2016 | 319 | |
| 14 | 2010 | 71 | |
| 15 | 2010 | 47 | |
| 16 | 2008 | 81 | |
| 17 | 2007 | 89 | |
| 18 | 2006 | 422 | |
| 19 | Gene Expression Profiling of Gliomas Strongly Predicts Survival Hit paper breakdown → | 2004 | 563 |
| 20 | 2004 | 54 |
About Steve Horvath
Steve Horvath is a scholar working on Aging, Molecular Biology, Virology, Pediatrics, Perinatology and Child Health and Genetics, having authored 447 papers that have together received 70.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (197 papers), Birth, Development, and Health (56 papers), Bioinformatics and Genomic Networks (50 papers), Gene expression and cancer classification (32 papers), Genetics and Neurodevelopmental Disorders (31 papers), Genetic Syndromes and Imprinting (27 papers), Genetics, Aging, and Longevity in Model Organisms (27 papers) and Genetic Associations and Epidemiology (26 papers). The work is most often cited by research in Aging (2.7k citations), Molecular Biology (44.2k citations), Cancer Research (8.3k citations), Biological Psychiatry (1.3k citations) and Genetics (11.1k citations). Steve Horvath has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Peter Langfelder, Bin Zhang, Kenneth Raj, Daniel H. Geschwind, Nan M. Laird, Tao Shi, Jun Dong, Xin Xu, David B. Seligson and Michael C. Oldham. Their work appears in journals such as Aging, Aging Cell, GeroScience, Clinical Epigenetics 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.