Daniel Mahony
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Developmental Biology and Gene Regulation
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- Muscle Physiology and Disorders
- Ubiquitin and proteasome pathways
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- Genomics and Chromatin Dynamics 4
- Developmental Biology and Gene Regulation 3
- TGF-β signaling in diseases 2
- RNA Research and Splicing 2
- Oncology 3
- Cancer-related Molecular Pathways 3
- Co-authors
- Emma Lees (6 shared papers)David Parry (5 shared papers)J. B. Gurdon (3 shared papers)Andrew C. Mitchell (1 shared paper)Wolfgang Seghezzi (3 shared papers)Ken N. Wills (1 shared paper)Fergus Shanahan (2 shared papers)S D Smith (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)Nucleic Acids Research (1 paper)Kidney International (1 paper)Neuromuscular Disorders (1 paper)Nature (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Daniel Mahony
11 papers receiving 884 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 753
- Cell Biology 174
- Oncology 271
- Immunology and Allergy 38
- Aging 10
Countries citing papers authored by Daniel Mahony
This map shows the geographic impact of Daniel Mahony'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 Mahony with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mahony more than expected).
Fields of papers citing papers by Daniel Mahony
This network shows the impact of papers produced by Daniel Mahony. 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 Mahony. The network helps show where Daniel Mahony may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Mahony, 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 | 1999 | 148 | |
| 2 | 1999 | 140 | |
| 3 | 1995 | 129 | |
| 4 | 2000 | 111 | |
| 5 | 1999 | 106 | |
| 6 | 1995 | 92 | |
| 7 | 1998 | 83 | |
| 8 | 1992 | 72 | |
| 9 | 1995 | 12 | |
| 10 | 1998 | 7 | |
| 11 | 1999 | 2 |
About Daniel Mahony
Daniel Mahony is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Surgery, having authored 11 papers that have together received 902 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Cancer-related Molecular Pathways (3 papers), Developmental Biology and Gene Regulation (3 papers), TGF-β signaling in diseases (2 papers), RNA Research and Splicing (2 papers), Microtubule and mitosis dynamics (2 papers), 3D Printing in Biomedical Research (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Molecular Biology (753 citations), Cell Biology (174 citations), Oncology (271 citations), Immunology and Allergy (38 citations) and Aging (10 citations). Daniel Mahony has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Emma Lees, David Parry, J. B. Gurdon, Andrew C. Mitchell, Wolfgang Seghezzi, Ken N. Wills, Fergus Shanahan, S D Smith, Lawrence I. Rothblum and Wenqin Xie. Their work appears in journals such as Molecular and Cellular Biology, Nucleic Acids Research, Kidney International, Neuromuscular Disorders and Nature.
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.