Stephen Tsoi
Impact in
- Aquatic Science top 2%
- Aquaculture Nutrition and Growth
- Immunology top 5%
- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
Papers in
- Aging 3
-
- Pregnancy and preeclampsia studies 5
- Co-authors
- Susan E. DouglasHelen KayAndrew DacanayJeffrey W. GallantLaura L. BrownK. Vanya EwartSusanne PennyShan Zhu
- Journals
- Journal of Visualized Experiments (3 papers)Marine Biotechnology (2 papers)IUBMB Life (2 papers)Animal Reproduction Science (2 papers)Placenta (2 papers)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Stephen Tsoi
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Aquatic Science 245
- Immunology 511
- Obstetrics and Gynecology 171
- Microbiology 98
- Physiology 67
Countries citing papers authored by Stephen Tsoi
This map shows the geographic impact of Stephen Tsoi'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 Stephen Tsoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Tsoi more than expected).
Fields of papers citing papers by Stephen Tsoi
This network shows the impact of papers produced by Stephen Tsoi. 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 Stephen Tsoi. The network helps show where Stephen Tsoi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen Tsoi, 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 | 2024 | 0 | |
| 2 | 2020 | 29 | |
| 3 | GWAS in production nucleus sows using a 650K SNP Chip to explore component traits underlying a repeatable low litter birth weight phenotype | 2018 | 3 |
| 4 | 2016 | 4 | |
| 5 | 2016 | 8 | |
| 6 | 2014 | 9 | |
| 7 | 2014 | 20 | |
| 8 | 2014 | 14 | |
| 9 | 2007 | 65 | |
| 10 | 2005 | 104 | |
| 11 | 2005 | 59 | |
| 12 | 2005 | 7 | |
| 13 | 2004 | 80 | |
| 14 | 2002 | 20 | |
| 15 | 2002 | 17 | |
| 16 | 2001 | 41 | |
| 17 | 1998 | 21 | |
| 18 | 1997 | 6 | |
| 19 | 1997 | 35 | |
| 20 | 1996 | 10 |
About Stephen Tsoi
Stephen Tsoi is a scholar working on Aging, Obstetrics and Gynecology, Aquatic Science, Small Animals and Genetics, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (7 papers), Reproductive Biology and Fertility (6 papers), Pregnancy and preeclampsia studies (5 papers), MicroRNA in disease regulation (5 papers), Molecular Biology Techniques and Applications (5 papers), Animal Genetics and Reproduction (5 papers), Invertebrate Immune Response Mechanisms (4 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Aquatic Science (245 citations), Immunology (511 citations), Obstetrics and Gynecology (171 citations), Microbiology (98 citations) and Physiology (67 citations). Stephen Tsoi has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Susan E. Douglas, Helen Kay, Andrew Dacanay, Jeffrey W. Gallant, Laura L. Brown, K. Vanya Ewart, Susanne Penny, Shan Zhu, Michael K. Dyck and Douglas R. Tocher. Their work appears in journals such as Journal of Visualized Experiments, Marine Biotechnology, IUBMB Life, Animal Reproduction Science and Placenta.
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.