Brian Thomson
Impact in
- Agronomy and Crop Science top 10%
- Reproductive Physiology in Livestock
Papers in
-
- Reproductive Physiology in Livestock 9
-
- Reproductive Biology and Fertility 7
- Co-authors
- Douglas C. Eckery (10 shared papers)Robert M. Plenge (2 shared papers)Jennifer L. Juengel (5 shared papers)J.L. Crawford (3 shared papers)Gang Li (1 shared paper)Peter Szolovits (1 shared paper)Scott Mahan (1 shared paper)Lynn Bry (1 shared paper)
- Journals
- Biology of Reproduction (3 papers)Reproduction Fertility and Development (3 papers)Economic Geology (3 papers)Mineralium Deposita (2 papers)Reproduction (2 papers)
- Partner nations
- New ZealandUnited StatesUnited Kingdom
In The Last Decade
Brian Thomson
21 papers receiving 337 citations
Peers
Comparison fields: 5 of 78
- Agronomy and Crop Science 50
- Reproductive Medicine 39
- Rheumatology 68
- Genetics 104
- Immunology 52
Countries citing papers authored by Brian Thomson
This map shows the geographic impact of Brian Thomson'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 Brian Thomson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Thomson more than expected).
Fields of papers citing papers by Brian Thomson
This network shows the impact of papers produced by Brian Thomson. 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 Brian Thomson. The network helps show where Brian Thomson may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Thomson, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 88 | |
| 2 | 2011 | 65 | |
| 3 | 2010 | 55 | |
| 4 | 2007 | 29 | |
| 5 | 2008 | 21 | |
| 6 | 2015 | 16 | |
| 7 | 2010 | 13 | |
| 8 | 2002 | 13 | |
| 9 | 2002 | 13 | |
| 10 | 2007 | 10 | |
| 11 | 2006 | 6 | |
| 12 | 2021 | 4 | |
| 13 | 1995 | 4 | |
| 14 | 2008 | 3 | |
| 15 | 2010 | 2 | |
| 16 | 1994 | 2 | |
| 17 | Ore deposits in relation to the tectonic development of eastern Australia | 1973 | 2 |
| 18 | 2022 | 2 | |
| 19 | 2005 | 1 | |
| 20 | 2007 | 1 |
About Brian Thomson
Brian Thomson is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Genetics, Artificial Intelligence and Geophysics, having authored 21 papers that have together received 351 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (9 papers), Reproductive Biology and Fertility (7 papers), Geochemistry and Geologic Mapping (6 papers), Geological and Geochemical Analysis (6 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Hypothalamic control of reproductive hormones (3 papers), Animal Genetics and Reproduction (3 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Agronomy and Crop Science (50 citations), Reproductive Medicine (39 citations), Rheumatology (68 citations), Genetics (104 citations) and Immunology (52 citations). Brian Thomson has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include Douglas C. Eckery, Robert M. Plenge, Jennifer L. Juengel, J.L. Crawford, Gang Li, Peter Szolovits, Scott Mahan, Lynn Bry, Susanne Churchill and Catherine A. Herbert. Their work appears in journals such as Biology of Reproduction, Reproduction Fertility and Development, Economic Geology, Mineralium Deposita and Reproduction.
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.