Daniel Hayward
Impact in
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Photosynthetic Processes and Mechanisms
Papers in
-
- Ubiquitin and proteasome pathways 10
- Genomics and Chromatin Dynamics 7
- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 2
- 14-3-3 protein interactions 2
- Cell Biology 18
- Microtubule and mitosis dynamics 18
- Cellular transport and secretion 6
- Co-authors
- Andrew M. Fry (4 shared papers)Ulrike Grüneberg (8 shared papers)Jakob Nilsson (4 shared papers)Iain Hagan (1 shared paper)Robert B. Clarke (1 shared paper)Alison J. Faragher (1 shared paper)M. R. A. Pillai (1 shared paper)James G. Wakefield (4 shared papers)
- Journals
- The Journal of Cell Biology (4 papers)The EMBO Journal (2 papers)eLife (2 papers)Advanced Healthcare Materials (1 paper)SLAS DISCOVERY (1 paper)
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Daniel Hayward
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 79
- Cell Biology 643
- Molecular Biology 1.0k
- Oncology 184
- Cancer Research 62
- Aging 5
Countries citing papers authored by Daniel Hayward
This map shows the geographic impact of Daniel Hayward'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 Hayward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hayward more than expected).
Fields of papers citing papers by Daniel Hayward
This network shows the impact of papers produced by Daniel Hayward. 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 Hayward. The network helps show where Daniel Hayward may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Hayward, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 165 | |
| 2 | 2000 | 159 | |
| 3 | 2005 | 144 | |
| 4 | 2015 | 88 | |
| 5 | 2016 | 84 | |
| 6 | 2014 | 72 | |
| 7 | 2013 | 65 | |
| 8 | 2019 | 64 | |
| 9 | 2019 | 64 | |
| 10 | 2016 | 61 | |
| 11 | 2007 | 58 | |
| 12 | 2019 | 44 | |
| 13 | 2010 | 30 | |
| 14 | 2019 | 30 | |
| 15 | 2020 | 26 | |
| 16 | 2022 | 21 | |
| 17 | 2018 | 21 | |
| 18 | 2014 | 21 | |
| 19 | 2022 | 18 | |
| 20 | 2023 | 12 |
About Daniel Hayward
Daniel Hayward is a scholar working on Molecular Biology, Cell Biology, Oncology, Plant Science and Surgery, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (18 papers), Ubiquitin and proteasome pathways (10 papers), Genomics and Chromatin Dynamics (7 papers), Cellular transport and secretion (6 papers), RNA Research and Splicing (4 papers), Cancer-related Molecular Pathways (3 papers), Epigenetics and DNA Methylation (2 papers) and 14-3-3 protein interactions (2 papers). The work is most often cited by research in Cell Biology (643 citations), Molecular Biology (1.0k citations), Oncology (184 citations), Cancer Research (62 citations) and Aging (5 citations). Daniel Hayward has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Andrew M. Fry, Ulrike Grüneberg, Jakob Nilsson, Iain Hagan, Robert B. Clarke, Alison J. Faragher, M. R. A. Pillai, James G. Wakefield, Javier F. Cáceres and Olga V. Makarova. Their work appears in journals such as The Journal of Cell Biology, The EMBO Journal, eLife, Advanced Healthcare Materials and SLAS DISCOVERY.
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.