Grant W. Montgomery
- Reproductive Medicine top 0.1%
- Endometriosis Research and Treatment 92
- Genetics top 0.02%
- Genetic Associations and Epidemiology 106
- Genetic and phenotypic traits in livestock 55
- Genetic Mapping and Diversity in Plants and Animals 53
- Obstetrics and Gynecology top 0.2%
- Endometrial and Cervical Cancer Treatments 39
- Immunology top 0.5%
- Reproductive System and Pregnancy 51
- Molecular Biology top 0.5%
- Epigenetics and DNA Methylation 26
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- Reproductive Biology and Fertility 28
- Co-authors
- Nicholas G. MartinPeter M. VisscherDale R. NyholtAndrew C. HeathJian YangAnjali K. HendersPamela A. F. MaddenMichael E. Goddard
- Journals
- New England Journal of Medicine (2 papers)Proceedings of the National Academy of Sciences (1 paper)JAMA (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Grant W. Montgomery
494 papers receiving 25.4k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Reproductive Medicine 3.5k
- Genetics 11.3k
- Obstetrics and Gynecology 2.1k
- Immunology 2.6k
- Molecular Biology 7.8k
Countries citing papers authored by Grant W. Montgomery
This map shows the geographic impact of Grant W. Montgomery'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 Grant W. Montgomery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grant W. Montgomery more than expected).
Fields of papers citing papers by Grant W. Montgomery
This network shows the impact of papers produced by Grant W. Montgomery. 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 Grant W. Montgomery. The network helps show where Grant W. Montgomery may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Grant W. Montgomery, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 13 | |
| 3 | 2022 | 5 | |
| 4 | 2020 | 5 | |
| 5 | 2017 | 19 | |
| 6 | 2013 | 8 | |
| 7 | 2005 | 37 | |
| 8 | 2005 | 7 | |
| 9 | 2005 | 33 | |
| 10 | 2004 | 3 | |
| 11 | 2003 | 10 | |
| 12 | 2003 | 2 | |
| 13 | 2003 | 17 | |
| 14 | 2003 | 98 | |
| 15 | 2003 | 3 | |
| 16 | 1990 | 193 | |
| 17 | 1990 | 1 | |
| 18 | 1987 | 9 | |
| 19 | 1985 | 39 | |
| 20 | 1982 | 204 |
About Grant W. Montgomery
Grant W. Montgomery is a scholar working on Reproductive Medicine, Genetics and Obstetrics and Gynecology, having authored 507 papers that have together received 26.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (106 papers), Endometriosis Research and Treatment (92 papers), Genetic and phenotypic traits in livestock (55 papers), Genetic Mapping and Diversity in Plants and Animals (53 papers), Reproductive System and Pregnancy (51 papers), Endometrial and Cervical Cancer Treatments (39 papers), Reproductive Biology and Fertility (28 papers) and Epigenetics and DNA Methylation (26 papers). The work is most often cited by research in Reproductive Medicine (3.5k citations), Genetics (11.3k citations) and Obstetrics and Gynecology (2.1k citations). Grant W. Montgomery has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Nicholas G. Martin, Peter M. Visscher, Dale R. Nyholt, Andrew C. Heath, Jian Yang, Anjali K. Henders, Pamela A. F. Madden, Michael E. Goddard, Sarah E. Medland and Naomi R. Wray. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.
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.