Nigel Page
Impact in
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies
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- Neuropeptides and Animal Physiology
Papers in ⓘ
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- Receptor Mechanisms and Signaling 11
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- Neuropeptides and Animal Physiology 16
- Co-authors
- Philip J. Lowry (7 shared papers)Khomsorn Lomthaisong (3 shared papers)Isaac Manyonda (5 shared papers)P. J. Lowry (4 shared papers)Nicola J. Weston-Bell (6 shared papers)Sheila M. Gardiner (3 shared papers)R. J. Woods (2 shared papers)Melissa Baysari (1 shared paper)
- Journals
- European Journal of Pharmacology (2 papers)Biology of Reproduction (2 papers)Placenta (2 papers)Peptides (2 papers)Scientific Reports (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Nigel Page
49 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Obstetrics and Gynecology 320
- Cellular and Molecular Neuroscience 537
- Reproductive Medicine 186
- Health Information Management 56
- Parasitology 69
Countries citing papers authored by Nigel Page
This map shows the geographic impact of Nigel Page'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 Page with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel Page more than expected).
Fields of papers citing papers by Nigel Page
This network shows the impact of papers produced by Nigel Page. 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 Page. The network helps show where Nigel Page may publish in the future.
Co-authors
The 25 scholars most cited alongside Nigel Page, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 203 | |
| 2 | 2004 | 132 | |
| 3 | 2003 | 121 | |
| 4 | 2001 | 114 | |
| 5 | 2005 | 96 | |
| 6 | 2017 | 90 | |
| 7 | 2004 | 60 | |
| 8 | 2002 | 58 | |
| 9 | 2001 | 57 | |
| 10 | 2002 | 44 | |
| 11 | 2006 | 40 | |
| 12 | 2003 | 34 | |
| 13 | 2005 | 32 | |
| 14 | 2014 | 31 | |
| 15 | 1995 | 30 | |
| 16 | 2002 | 27 | |
| 17 | 2006 | 26 | |
| 18 | 2000 | 24 | |
| 19 | 2015 | 22 | |
| 20 | 2010 | 21 |
About Nigel Page
Nigel Page is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Obstetrics and Gynecology, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Pregnancy and preeclampsia studies (16 papers), Receptor Mechanisms and Signaling (11 papers), Electrolyte and hormonal disorders (4 papers), Birth, Development, and Health (4 papers), Neuroendocrine regulation and behavior (4 papers), Reproductive System and Pregnancy (4 papers) and Parasite Biology and Host Interactions (3 papers). The work is most often cited by research in Obstetrics and Gynecology (320 citations), Cellular and Molecular Neuroscience (537 citations), Reproductive Medicine (186 citations), Health Information Management (56 citations) and Parasitology (69 citations). Nigel Page has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Philip J. Lowry, Khomsorn Lomthaisong, Isaac Manyonda, P. J. Lowry, Nicola J. Weston-Bell, Sheila M. Gardiner, R. J. Woods, Melissa Baysari, Johanna Westbrook and R. T. Gladwell. Their work appears in journals such as European Journal of Pharmacology, Biology of Reproduction, Placenta, Peptides and Scientific Reports.
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.