J. D. Curlewis
- Reproductive Medicine top 2%
- Agronomy and Crop Science top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Endocrine and Autonomic Systems top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Stephen AndersonAndrew LoudonKitja SawangjaroenMichael J. WatersJohanna L. BarclayA. S. McNeillyJ. A. MilneAlan S. McNeilly
- Topics
- Hypothalamic control of reproductive hormones (12 papers)Growth Hormone and Insulin-like Growth Factors (12 papers)Reproductive Physiology in Livestock (11 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
J. D. Curlewis
36 papers receiving 896 citations
Peers
Comparison fields: 5 of 80
- Reproductive Medicine 293
- Agronomy and Crop Science 210
- Endocrinology, Diabetes and Metabolism 202
- Endocrine and Autonomic Systems 201
- Cellular and Molecular Neuroscience 188
Countries citing papers authored by J. D. Curlewis
This map shows the geographic impact of J. D. Curlewis'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 J. D. Curlewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. D. Curlewis more than expected).
Fields of papers citing papers by J. D. Curlewis
This network shows the impact of papers produced by J. D. Curlewis. 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 J. D. Curlewis. The network helps show where J. D. Curlewis may publish in the future.
Co-authorship network of co-authors of J. D. Curlewis
This figure shows the co-authorship network connecting the top 25 collaborators of J. D. Curlewis. A scholar is included among the top collaborators of J. D. Curlewis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. D. Curlewis. J. D. Curlewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 33 | |
| 3 | 12 | |
| 4 | 8 | |
| 5 | 16 | |
| 6 | 12 | |
| 7 | 35 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 28 | |
| 11 | 6 | |
| 12 | 56 | |
| 13 | 53 | |
| 14 | 13 | |
| 15 | 6 | |
| 16 | 24 | |
| 17 | 115 | |
| 18 | 24 | |
| 19 | 79 | |
| 20 | 69 |
About J. D. Curlewis
J. D. Curlewis is a scholar working on Reproductive Medicine, Endocrine and Autonomic Systems and Agronomy and Crop Science, having authored 37 papers that have together received 927 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (12 papers), Growth Hormone and Insulin-like Growth Factors (12 papers) and Reproductive Physiology in Livestock (11 papers). The work is most often cited by research in Reproductive Medicine (293 citations), Endocrine and Autonomic Systems (201 citations) and Agronomy and Crop Science (210 citations). J. D. Curlewis has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Stephen Anderson, Andrew Loudon, Kitja Sawangjaroen, Michael J. Waters, Johanna L. Barclay, A. S. McNeilly, J. A. Milne, Alan S. McNeilly, A.M. Naylor and Robert P. Millar. Their work appears in journals such as Brain Research, Endocrinology and International Journal of Cancer.
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.