David McCleary
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- RNA modifications and cancer
- Cancer-related gene regulation
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Aging top 10%
Papers in
-
- Epigenetics and DNA Methylation 2
- Gene expression and cancer classification 2
- Genomics and Chromatin Dynamics 2
- Cancer-related gene regulation 2
- Co-authors
- Bing Ren (3 shared papers)Feng Yue (2 shared papers)Yin Shen (2 shared papers)Zhen Ye (1 shared paper)Leonard Lee (1 shared paper)Jesse R. Dixon (1 shared paper)Lee Edsall (1 shared paper)Samantha Kuan (1 shared paper)
- Journals
- Nature Genetics (2 papers)Cellular Oncology (1 paper)Archives of Disease in Childhood (1 paper)Analytical Cellular Pathology (1 paper)Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
David McCleary
13 papers receiving 1.7k citations
David McCleary's Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.4k
- Aging 25
- Genetics 315
- Cancer Research 122
- Developmental Neuroscience 24
Countries citing papers authored by David McCleary
This map shows the geographic impact of David McCleary'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 David McCleary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David McCleary more than expected).
Fields of papers citing papers by David McCleary
This network shows the impact of papers produced by David McCleary. 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 David McCleary. The network helps show where David McCleary may publish in the future.
Co-authors
The 25 scholars most cited alongside David McCleary, 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 | A map of the cis-regulatory sequences in the mouse genome Hit paper breakdown → | 2012 | 1023 |
| 2 | 2013 | 352 | |
| 3 | 2007 | 95 | |
| 4 | 2012 | 74 | |
| 5 | 2010 | 56 | |
| 6 | 2015 | 42 | |
| 7 | 2024 | 23 | |
| 8 | 2017 | 9 | |
| 9 | 2010 | 5 | |
| 10 | 2010 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2011 | 2 | |
| 13 | 2006 | 2 |
About David McCleary
David McCleary is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Aging, Biophysics and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Gene expression and cancer classification (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related gene regulation (2 papers), Cell Image Analysis Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Molecular Biology (1.4k citations), Aging (25 citations), Genetics (315 citations), Cancer Research (122 citations) and Developmental Neuroscience (24 citations). David McCleary has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Bing Ren, Feng Yue, Yin Shen, Zhen Ye, Leonard Lee, Jesse R. Dixon, Lee Edsall, Samantha Kuan, Victor V. Lobanenkov and Ulrich Wagner. Their work appears in journals such as Nature Genetics, Cellular Oncology, Archives of Disease in Childhood, Analytical Cellular Pathology and Genetics.
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.