Simon Chu
Impact in
- Reproductive Medicine top 1%
- Ovarian cancer diagnosis and treatment
- Genetics top 5%
- Estrogen and related hormone effects
Papers in
-
- Ovarian cancer diagnosis and treatment 18
-
- Hormonal Regulation and Hypertension 5
- Co-authors
- Peter J. Fuller (34 shared papers)Dilys T.H. Leung (7 shared papers)Henry Burger (6 shared papers)Lasse Lindahl (1 shared paper)Richard H. Archer (1 shared paper)Janice M. Zengel (1 shared paper)Maria Alexiadis (11 shared papers)Pam M Mamers (2 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (5 papers)Molecular Endocrinology (3 papers)Molecular and Cellular Endocrinology (3 papers)Gynecologic Oncology (3 papers)Endocrinology (2 papers)
- Partner nations
- AustraliaUnited StatesHong Kong
In The Last Decade
Simon Chu
65 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 131
- Reproductive Medicine 628
- Genetics 528
- Virology 86
- Obstetrics and Gynecology 121
- Behavioral Neuroscience 57
Countries citing papers authored by Simon Chu
This map shows the geographic impact of Simon Chu'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 Simon Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Chu more than expected).
Fields of papers citing papers by Simon Chu
This network shows the impact of papers produced by Simon Chu. 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 Simon Chu. The network helps show where Simon Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Chu, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 184 | |
| 2 | 1997 | 141 | |
| 3 | 2011 | 136 | |
| 4 | Human kallikrein 4 (KLK4) is highly expressed in serous ovarian carcinomas. | 2001 | 105 |
| 5 | 2010 | 100 | |
| 6 | 2011 | 94 | |
| 7 | 2000 | 91 | |
| 8 | 2004 | 91 | |
| 9 | 2005 | 86 | |
| 10 | 2000 | 82 | |
| 11 | 2008 | 78 | |
| 12 | 2002 | 75 | |
| 13 | 2014 | 69 | |
| 14 | 2004 | 69 | |
| 15 | 1999 | 60 | |
| 16 | 2016 | 53 | |
| 17 | 1999 | 52 | |
| 18 | 2011 | 52 | |
| 19 | 2014 | 51 | |
| 20 | 2004 | 51 |
About Simon Chu
Simon Chu is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Cancer Research, Genetics and Oncology, having authored 70 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (18 papers), Estrogen and related hormone effects (10 papers), Kruppel-like factors research (7 papers), TGF-β signaling in diseases (5 papers), Hormonal Regulation and Hypertension (5 papers), Reproductive System and Pregnancy (5 papers), NF-κB Signaling Pathways (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Reproductive Medicine (628 citations), Genetics (528 citations), Virology (86 citations), Obstetrics and Gynecology (121 citations) and Behavioral Neuroscience (57 citations). Simon Chu has collaborated with scholars based in Australia, United States and Hong Kong. Frequent co-authors include Peter J. Fuller, Dilys T.H. Leung, Henry Burger, Lasse Lindahl, Richard H. Archer, Janice M. Zengel, Maria Alexiadis, Pam M Mamers, Andrea J. Curtis and Nadia R. Roan. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Molecular Endocrinology, Molecular and Cellular Endocrinology, Gynecologic Oncology 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.