Simon Chu

3.0k citations
68 papers · 2.5k · h-index 33

Impact in

Papers in

Simon Chu

64 papers receiving 2.4k citations

Peers

Simon Chu
Comparison fields: 5 of 129
  • Reproductive Medicine 610
  • Genetics 531
  • Virology 82
  • Obstetrics and Gynecology 119
  • Behavioral Neuroscience 56
Replace Isao Miyakawa with:
Isao Miyakawa Japan
James A. MacLean United States
H. Sobis Belgium
Yoshio Yoshida Japan
Tsutomu Miyamoto Japan
Barbara Muciaccia Italy
Gilles Frenette Canada
Alison Moore United Kingdom
Carl Séguin Canada
Mónica H. Vazquez‐Levin Argentina
Simon Chu relative to Isao Miyakawa Japan Isao Miyakawa's profile →
Citations per field
00.5×3.6×
Isao Miyakawa · 1×
Citations per year

Countries citing papers authored by Simon Chu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Simon Chu Line = papers co-authored together Simon Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994196
2 1997142
3 2011129
4
Human kallikrein 4 (KLK4) is highly expressed in serous ovarian carcinomas.
2001103
5 201098
6 201192
7 200491
8 200090
9 200587
10 200083
11 200877
12 200276
13 200468
14 201466
15 199959
16 199953
17 200451
18 201151
19 200249
20 201448

About Simon Chu

Simon Chu is a scholar working on Molecular Biology, Reproductive Medicine, Genetics, Oncology and Endocrinology, Diabetes and Metabolism, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (16 papers), Estrogen and related hormone effects (10 papers), Kruppel-like factors research (7 papers), Reproductive System and Pregnancy (5 papers), Hormonal Regulation and Hypertension (5 papers), TGF-β signaling in diseases (5 papers), Colorectal Cancer Surgical Treatments (3 papers) and Sperm and Testicular Function (3 papers). The work is most often cited by research in Reproductive Medicine (610 citations), Genetics (531 citations), Virology (82 citations), Obstetrics and Gynecology (119 citations) and Behavioral Neuroscience (56 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, Richard Archer, Janice M. Zengel, Lasse Lindahl, Maria Alexiadis, Pam Mamers, Andrea J. Curtis and Warner C. Greene. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Molecular Endocrinology, Molecular and Cellular Endocrinology, Endoscopy and Gynecologic Oncology.

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.

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