Nigel Dyer
Impact in
- Reproductive Medicine top 5%
- Endometriosis Research and Treatment
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
Papers in
-
- Genomics and Phylogenetic Studies 3
- DNA Repair Mechanisms 2
- Genomics and Chromatin Dynamics 2
-
- Reproductive System and Pregnancy 3
- Co-authors
- Sascha Ott (12 shared papers)Jan J. Brosens (3 shared papers)Emma S. Lucas (3 shared papers)Sally Adams (1 shared paper)Isabelle A. Carré (1 shared paper)Matthew A. Hannah (1 shared paper)Joanne Muter (2 shared papers)Jonathan D. Moore (1 shared paper)
- Journals
- Bioinformatics (2 papers)RNA (1 paper)The Journal of Immunology (1 paper)Annals of Clinical Biochemistry International Journal of Laboratory Medicine (1 paper)Water (1 paper)
- Partner nations
- United KingdomAustriaAustralia
In The Last Decade
Nigel Dyer
21 papers receiving 665 citations
Peers
Comparison fields: 5 of 87
- Reproductive Medicine 108
- Obstetrics and Gynecology 83
- Immunology 220
- Plant Science 165
- Molecular Biology 249
Countries citing papers authored by Nigel Dyer
This map shows the geographic impact of Nigel Dyer'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 Nigel Dyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel Dyer more than expected).
Fields of papers citing papers by Nigel Dyer
This network shows the impact of papers produced by Nigel Dyer. 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 Nigel Dyer. The network helps show where Nigel Dyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Nigel Dyer, 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 | 2015 | 163 | |
| 2 | 2018 | 124 | |
| 3 | 2012 | 56 | |
| 4 | 2017 | 53 | |
| 5 | 2010 | 40 | |
| 6 | 2016 | 36 | |
| 7 | 2010 | 30 | |
| 8 | 2017 | 28 | |
| 9 | 2010 | 21 | |
| 10 | 2019 | 20 | |
| 11 | 2024 | 18 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2014 | 11 | |
| 15 | 2009 | 10 | |
| 16 | 2021 | 8 | |
| 17 | 2016 | 8 | |
| 18 | 2010 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2019 | 5 |
About Nigel Dyer
Nigel Dyer is a scholar working on Molecular Biology, Immunology, Plant Science, Surgery and Reproductive Medicine, having authored 23 papers that have together received 669 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (3 papers), Reproductive System and Pregnancy (3 papers), Genomics and Phylogenetic Studies (3 papers), DNA Repair Mechanisms (2 papers), Plant Molecular Biology Research (2 papers), Dental materials and restorations (2 papers), Genomics and Chromatin Dynamics (2 papers) and Orthopaedic implants and arthroplasty (2 papers). The work is most often cited by research in Reproductive Medicine (108 citations), Obstetrics and Gynecology (83 citations), Immunology (220 citations), Plant Science (165 citations) and Molecular Biology (249 citations). Nigel Dyer has collaborated with scholars based in United Kingdom, Austria and Australia. Frequent co-authors include Sascha Ott, Jan J. Brosens, Emma S. Lucas, Sally Adams, Isabelle A. Carré, Matthew A. Hannah, Joanne Muter, Jonathan D. Moore, Eric W.‐F. Lam and Yi‐Wah Chan. Their work appears in journals such as Bioinformatics, RNA, The Journal of Immunology, Annals of Clinical Biochemistry International Journal of Laboratory Medicine and Water.
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.