Daniel J. Gaffney
- Molecular Biology top 1%
- Genomics and Chromatin Dynamics 15
- Genomics and Phylogenetic Studies 10
- RNA Research and Splicing 9
- Single-cell and spatial transcriptomics 8
- Pluripotent Stem Cells Research 7
- CRISPR and Genetic Engineering 7
- Epigenetics and DNA Methylation 6
- Genetics top 1%
- Cancer Research top 2%
- Aging top 5%
- Immunology top 5%
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- Chromosomal and Genetic Variations 10
- Co-authors
- Jonathan K. PritchardYoav GiladRoger Piqué-RegiAthma A. PaiJacob F. DegnerPeter D. KeightleyPedro MadrigalXuegong Zhang
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Daniel J. Gaffney
53 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 5.3k
- Genetics 1.8k
- Cancer Research 803
- Aging 59
- Immunology 620
Countries citing papers authored by Daniel J. Gaffney
This map shows the geographic impact of Daniel J. Gaffney'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 Daniel J. Gaffney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Gaffney more than expected).
Fields of papers citing papers by Daniel J. Gaffney
This network shows the impact of papers produced by Daniel J. Gaffney. 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 Daniel J. Gaffney. The network helps show where Daniel J. Gaffney may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel J. Gaffney, 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 | 2022 | 13 | |
| 4 | 2022 | 47 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 183 | |
| 7 | 2018 | 64 | |
| 8 | 2017 | 142 | |
| 9 | 2015 | 73 | |
| 10 | 2014 | 212 | |
| 11 | DNase I sensitivity QTLs are a major determinant of human expression variationbreakdown → | 2012 | 429 |
| 12 | 2012 | 342 | |
| 13 | 2012 | 16 | |
| 14 | 2012 | 79 | |
| 15 | 2010 | 377 | |
| 16 | 2008 | 12 | |
| 17 | 2005 | 47 | |
| 18 | 2005 | 70 | |
| 19 | 2002 | 161 | |
| 20 | 2002 | 62 |
About Daniel J. Gaffney
Daniel J. Gaffney is a scholar working on Genetics, Molecular Biology and Cancer Research, having authored 53 papers that have together received 7.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), Genomics and Phylogenetic Studies (10 papers), Chromosomal and Genetic Variations (10 papers), RNA Research and Splicing (9 papers), Single-cell and spatial transcriptomics (8 papers), Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (7 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Molecular Biology (5.3k citations), Genetics (1.8k citations) and Cancer Research (803 citations). Daniel J. Gaffney has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Jonathan K. Pritchard, Yoav Gilad, Roger Piqué-Regi, Athma A. Pai, Jacob F. Degner, Peter D. Keightley, Pedro Madrigal, Xuegong Zhang, Alejandra Cervera and David Gómez-Cabrero. Their work appears in journals such as Nature Genetics, PLoS Genetics, Nature Communications, Genome biology and Genome Research.
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.