John M. Greally
Impact in
- Molecular Biology top 0.5%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- Hematology top 1%
- Acute Myeloid Leukemia Research
Papers in
- Genetics 65
- Genetic Syndromes and Imprinting 37
- Genetics and Neurodevelopmental Disorders 12
-
- Epigenetics and DNA Methylation 123
- Cancer-related gene regulation 40
- RNA modifications and cancer 33
- Genomics and Chromatin Dynamics 30
- Co-authors
- Masako SuzukiMelissa FazzariAri MelnickReid F. ThompsonMaría E. FigueroaTuuli LappalainenAmit VermaSteven Henikoff
- Journals
- Blood (17 papers)Proceedings of the National Academy of Sciences (7 papers)PLoS ONE (7 papers)Nature Communications (6 papers)Genome biology (6 papers)
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
John M. Greally
191 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 6.8k
- Hematology 963
- Genetics 2.3k
- Cancer Research 1.0k
- Pediatrics, Perinatology and Child Health 936
Countries citing papers authored by John M. Greally
This map shows the geographic impact of John M. Greally'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 John M. Greally with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Greally more than expected).
Fields of papers citing papers by John M. Greally
This network shows the impact of papers produced by John M. Greally. 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 John M. Greally. The network helps show where John M. Greally may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John M. Greally, 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 | 2024 | 2 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 1 | |
| 5 | 2020 | 15 | |
| 6 | 2020 | 22 | |
| 7 | 2018 | 9 | |
| 8 | 2016 | 30 | |
| 9 | 2015 | 42 | |
| 10 | 2014 | 55 | |
| 11 | 2014 | 32 | |
| 12 | 2013 | 180 | |
| 13 | 2013 | 54 | |
| 14 | 2012 | 42 | |
| 15 | 2009 | 31 | |
| 16 | 2009 | 231 | |
| 17 | 2008 | 86 | |
| 18 | 2007 | 24 | |
| 19 | 2002 | 30 | |
| 20 | 1999 | 32 |
About John M. Greally
John M. Greally is a scholar working on Genetics, Molecular Biology, Hematology, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 196 papers that have together received 9.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (123 papers), Cancer-related gene regulation (40 papers), Genetic Syndromes and Imprinting (37 papers), RNA modifications and cancer (33 papers), Genomics and Chromatin Dynamics (30 papers), Acute Myeloid Leukemia Research (15 papers), Prenatal Screening and Diagnostics (12 papers) and Genetics and Neurodevelopmental Disorders (12 papers). The work is most often cited by research in Molecular Biology (6.8k citations), Hematology (963 citations), Genetics (2.3k citations), Cancer Research (1.0k citations) and Pediatrics, Perinatology and Child Health (936 citations). John M. Greally has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Masako Suzuki, Melissa Fazzari, Ari Melnick, Reid F. Thompson, María E. Figueroa, Tuuli Lappalainen, Amit Verma, Steven Henikoff, Yushan Li and Carolyn J. Brown. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, PLoS ONE, Nature Communications and Genome biology.
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.