Daniel Mahony
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Developmental Biology and Gene Regulation
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- Muscle Physiology and Disorders
- Oncology top 10%
- Cancer-related Molecular Pathways
Papers in
-
- Genomics and Chromatin Dynamics 4
- Developmental Biology and Gene Regulation 3
- TGF-β signaling in diseases 2
- RNA Research and Splicing 2
- DNA Repair Mechanisms 1
- Ubiquitin and proteasome pathways 1
- 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)S D Smith (1 shared paper)Wenqin Xie (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)Neuromuscular Disorders (1 paper)Nature (1 paper)International Immunology (1 paper)Mechanisms of Development (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Daniel Mahony
11 papers receiving 890 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 741
- Oncology 258
- Cell Biology 162
- Aging 10
- Immunology and Allergy 31
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 | 131 | |
| 4 | 2000 | 111 | |
| 5 | 1999 | 109 | |
| 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 907 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), Microtubule and mitosis dynamics (2 papers), TGF-β signaling in diseases (2 papers), RNA Research and Splicing (2 papers), DNA Repair Mechanisms (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Molecular Biology (741 citations), Oncology (258 citations), Cell Biology (162 citations), Aging (10 citations) and Immunology and Allergy (31 citations). Daniel Mahony has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Emma Lees, David Parry, J. B. Gurdon, Andrew C. Mitchell, Wolfgang Seghezzi, Ken N. Wills, S D Smith, Wenqin Xie, Lawrence I. Rothblum and J. Philpot. Their work appears in journals such as Molecular and Cellular Biology, Neuromuscular Disorders, Nature, International Immunology and Mechanisms of Development.
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.