I. A. Swanston
- Reproductive Medicine top 2%
- Agronomy and Crop Science top 2%
- Public Health, Environmental and Occupational Health top 5%
- Molecular Biology
- Genetics top 10%
- Co-authors
- David T. BairdAlan S. McNeillyNigel P. GroomeA. S. McNeillyEuan M. WallaceRichard M. SharpeK. M. HendersonR. J. Scaramuzzi
- Topics
- Reproductive Physiology in Livestock (7 papers)Growth Hormone and Insulin-like Growth Factors (5 papers)Ovarian function and disorders (4 papers)
- Cited by
- Reproductive MedicineAgronomy and Crop SciencePublic Health, Environmental and Occupational Health
- Journals
- New England Journal of MedicineThe Journal of Clinical Endocrinology & MetabolismEndocrinology
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
I. A. Swanston
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Reproductive Medicine 433
- Agronomy and Crop Science 406
- Public Health, Environmental and Occupational Health 358
- Molecular Biology 290
- Genetics 237
Countries citing papers authored by I. A. Swanston
This map shows the geographic impact of I. A. Swanston'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 I. A. Swanston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. A. Swanston more than expected).
Fields of papers citing papers by I. A. Swanston
This network shows the impact of papers produced by I. A. Swanston. 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 I. A. Swanston. The network helps show where I. A. Swanston may publish in the future.
Co-authorship network of co-authors of I. A. Swanston
This figure shows the co-authorship network connecting the top 25 collaborators of I. A. Swanston. A scholar is included among the top collaborators of I. A. Swanston 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 I. A. Swanston. I. A. Swanston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 52 | |
| 3 | 24 | |
| 4 | 66 | |
| 5 | 65 | |
| 6 | 140 | |
| 7 | 55 | |
| 8 | 36 | |
| 9 | 29 | |
| 10 | 51 | |
| 11 | 23 | |
| 12 | 18 | |
| 13 | 37 | |
| 14 | 56 | |
| 15 | 5 | |
| 16 | 128 | |
| 17 | 48 | |
| 18 | 78 | |
| 19 | 19 | |
| 20 | 59 |
About I. A. Swanston
I. A. Swanston is a scholar working on Reproductive Medicine, Agronomy and Crop Science and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Ovarian function and disorders (4 papers). The work is most often cited by research in Reproductive Medicine (433 citations), Agronomy and Crop Science (406 citations) and Public Health, Environmental and Occupational Health (358 citations). I. A. Swanston has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include David T. Baird, Alan S. McNeilly, Nigel P. Groome, A. S. McNeilly, Euan M. Wallace, Richard M. Sharpe, K. M. Henderson, R. J. Scaramuzzi, D.M. de Kretser and K. P. McNatty. Their work appears in journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.
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.