Stan Lun
Impact in
- Reproductive Medicine top 2%
- Ovarian function and disorders
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- Reproductive Biology and Fertility
Papers in
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- Reproductive Biology and Fertility 17
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- Renal and related cancers 9
- Pluripotent Stem Cells Research 5
- Co-authors
- Jennifer L. Juengel (17 shared papers)Kenneth P. McNatty (16 shared papers)Karen L. Reader (9 shared papers)Andrea Western (6 shared papers)D. A. Heath (9 shared papers)Steve Lawrence (4 shared papers)Laurel D. Quirke (6 shared papers)Olli Ritvos (3 shared papers)
- Journals
- Reproduction (7 papers)Biology of Reproduction (7 papers)Molecular and Cellular Endocrinology (3 papers)Biomaterials (2 papers)Endocrinology (2 papers)
- Partner nations
- New ZealandFinlandUnited States
In The Last Decade
Stan Lun
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Reproductive Medicine 303
- Public Health, Environmental and Occupational Health 830
- Agronomy and Crop Science 193
- Rehabilitation 64
- Genetics 259
Countries citing papers authored by Stan Lun
This map shows the geographic impact of Stan Lun'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 Stan Lun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stan Lun more than expected).
Fields of papers citing papers by Stan Lun
This network shows the impact of papers produced by Stan Lun. 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 Stan Lun. The network helps show where Stan Lun may publish in the future.
Co-authors
The 25 scholars most cited alongside Stan Lun, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 191 | |
| 2 | 2005 | 140 | |
| 3 | 2002 | 89 | |
| 4 | 2006 | 77 | |
| 5 | 2010 | 75 | |
| 6 | 2001 | 74 | |
| 7 | 2008 | 73 | |
| 8 | 2006 | 68 | |
| 9 | 2004 | 60 | |
| 10 | 2011 | 57 | |
| 11 | 2007 | 57 | |
| 12 | 2012 | 49 | |
| 13 | 2007 | 47 | |
| 14 | 2011 | 43 | |
| 15 | 2010 | 35 | |
| 16 | 2009 | 34 | |
| 17 | 2010 | 21 | |
| 18 | 2011 | 16 | |
| 19 | 2002 | 16 | |
| 20 | 2002 | 15 |
About Stan Lun
Stan Lun is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Agronomy and Crop Science, Genetics and Rheumatology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (17 papers), Renal and related cancers (9 papers), Pluripotent Stem Cells Research (5 papers), Reproductive Physiology in Livestock (5 papers), GDF15 and Related Biomarkers (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Animal Genetics and Reproduction (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Reproductive Medicine (303 citations), Public Health, Environmental and Occupational Health (830 citations), Agronomy and Crop Science (193 citations), Rehabilitation (64 citations) and Genetics (259 citations). Stan Lun has collaborated with scholars based in New Zealand, Finland and United States. Frequent co-authors include Jennifer L. Juengel, Kenneth P. McNatty, Karen L. Reader, Andrea Western, D. A. Heath, Steve Lawrence, Laurel D. Quirke, Olli Ritvos, Mika Laitinen and David G. Mottershead. Their work appears in journals such as Reproduction, Biology of Reproduction, Molecular and Cellular Endocrinology, Biomaterials 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.