L. Gabriel Sanchez‐Partida
- Reproductive Medicine top 1%
- Sperm and Testicular Function 12
- Physiology top 5%
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- Reproductive Biology and Fertility 10
- Agronomy and Crop Science top 10%
- Reproductive Physiology in Livestock 3
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- Animal Genetics and Reproduction 3
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- Pluripotent Stem Cells Research 2
- Epigenetics and DNA Methylation 2
- TGF-β signaling in diseases 2
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- Pregnancy and preeclampsia studies 1
- Co-authors
- W.M.C. MaxwellB. P. SetchellMoira K. O’BryanL. G. PalegGerard M. GibbsBrian P. SetchellJ EpplestonBP Setchell
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
L. Gabriel Sanchez‐Partida
20 papers receiving 689 citations
Peers
Comparison fields: 5 of 76
- Reproductive Medicine 482
- Physiology 76
- Public Health, Environmental and Occupational Health 413
- Agronomy and Crop Science 93
- Genetics 148
Countries citing papers authored by L. Gabriel Sanchez‐Partida
This map shows the geographic impact of L. Gabriel Sanchez‐Partida'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 L. Gabriel Sanchez‐Partida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Gabriel Sanchez‐Partida more than expected).
Fields of papers citing papers by L. Gabriel Sanchez‐Partida
This network shows the impact of papers produced by L. Gabriel Sanchez‐Partida. 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 L. Gabriel Sanchez‐Partida. The network helps show where L. Gabriel Sanchez‐Partida may publish in the future.
Co-authorship network
The 25 scholars most cited alongside L. Gabriel Sanchez‐Partida, 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 | 2011 | 19 | |
| 2 | 2010 | 51 | |
| 3 | 2008 | 60 | |
| 4 | 2007 | 18 | |
| 5 | 2006 | 33 | |
| 6 | 2006 | 31 | |
| 7 | 2005 | 15 | |
| 8 | 2005 | 68 | |
| 9 | 2004 | 3 | |
| 10 | 2003 | 29 | |
| 11 | 2000 | 57 | |
| 12 | 1999 | 75 | |
| 13 | 1999 | 45 | |
| 14 | 1998 | 51 | |
| 15 | 1995 | 28 | |
| 16 | 1995 | 11 | |
| 17 | 1995 | 4 | |
| 18 | 1993 | 40 | |
| 19 | 1992 | 67 | |
| 20 | 1991 | 24 |
About L. Gabriel Sanchez‐Partida
L. Gabriel Sanchez‐Partida is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Agronomy and Crop Science, having authored 20 papers that have together received 729 indexed citations. Recurring topics across this work include Sperm and Testicular Function (12 papers), Reproductive Biology and Fertility (10 papers), Reproductive Physiology in Livestock (3 papers), Animal Genetics and Reproduction (3 papers), Pluripotent Stem Cells Research (2 papers), Epigenetics and DNA Methylation (2 papers), TGF-β signaling in diseases (2 papers) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Reproductive Medicine (482 citations), Physiology (76 citations) and Public Health, Environmental and Occupational Health (413 citations). L. Gabriel Sanchez‐Partida has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include W.M.C. Maxwell, B. P. Setchell, Moira K. O’Bryan, L. G. Paleg, Gerard M. Gibbs, Brian P. Setchell, J Eppleston, BP Setchell, David M. de Kretser and John R. Morrison. Their work appears in journals such as PLoS ONE, Journal of Cell Science 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.