Sin-Tak Chu
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Ovarian function and disorders
- Nephrology top 10%
- Acute Kidney Injury Research
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Signaling Pathways in Disease 2
- CRISPR and Genetic Engineering 2
-
- Sperm and Testicular Function 7
- Co-authors
- Yee‐Hsiung Chen (5 shared papers)Namasivayam Elangovan (5 shared papers)Woan-Fang Tzeng (4 shared papers)Tzeon‐Jye Chiou (1 shared paper)Yen‐Hua Huang (2 shared papers)Jinmei Chen (1 shared paper)Hsiu‐Hsia Lin (1 shared paper)Wenwei Li (1 shared paper)
In The Last Decade
Sin-Tak Chu
16 papers receiving 474 citations
Peers
Comparison fields: 5 of 76
- Reproductive Medicine 160
- Nephrology 68
- Public Health, Environmental and Occupational Health 127
- Pathology and Forensic Medicine 62
- Immunology 63
Countries citing papers authored by Sin-Tak Chu
This map shows the geographic impact of Sin-Tak 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 Sin-Tak Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sin-Tak Chu more than expected).
Fields of papers citing papers by Sin-Tak Chu
This network shows the impact of papers produced by Sin-Tak 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 Sin-Tak Chu. The network helps show where Sin-Tak Chu may publish in the future.
Co-authors
The 17 scholars most cited alongside Sin-Tak 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
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 126 | |
| 2 | 2011 | 52 | |
| 3 | 2000 | 49 | |
| 4 | 1996 | 38 | |
| 5 | 2000 | 35 | |
| 6 | 1999 | 31 | |
| 7 | 2007 | 28 | |
| 8 | 2004 | 27 | |
| 9 | 2007 | 22 | |
| 10 | 2008 | 21 | |
| 11 | 2003 | 20 | |
| 12 | 2007 | 16 | |
| 13 | 2005 | 7 | |
| 14 | 2001 | 5 | |
| 15 | 2006 | 4 | |
| 16 | 1988 | 3 |
About Sin-Tak Chu
Sin-Tak Chu is a scholar working on Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Cell Biology and Immunology and Allergy, having authored 16 papers that have together received 484 indexed citations. Recurring topics across this work include Sperm and Testicular Function (7 papers), Reproductive Biology and Fertility (4 papers), Reproductive System and Pregnancy (3 papers), Cell Adhesion Molecules Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Signaling Pathways in Disease (2 papers), Caveolin-1 and cellular processes (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Reproductive Medicine (160 citations), Nephrology (68 citations), Public Health, Environmental and Occupational Health (127 citations), Pathology and Forensic Medicine (62 citations) and Immunology (63 citations). Sin-Tak Chu has collaborated with scholars based in Taiwan and Germany. Frequent co-authors include Yee‐Hsiung Chen, Namasivayam Elangovan, Woan-Fang Tzeng, Tzeon‐Jye Chiou, Yen‐Hua Huang, Jinmei Chen, Hsiu‐Hsia Lin, Wenwei Li, Kay‐Hooi Khoo and Chu‐Wei Kuo. Their work appears in journals such as Molecular Biology Reports, Toxicology, Biochemical Journal, International Journal of Biological Sciences and Biochemical and Biophysical Research Communications.
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.