Stephanie Cheung
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Reproductive Medicine top 2%
- Public Health, Environmental and Occupational Health top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Steven A. SiegelbaumGianpiero D. PalermoZev RosenwaksDavid P. ToczyskiAlessandra ParrellaJayeeta BasuPhilip XieRobert Rohling
- Topics
- Reproductive Biology and Fertility (25 papers)Sperm and Testicular Function (25 papers)Reproductive Health and Technologies (9 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Stephanie Cheung
45 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 490
- Cellular and Molecular Neuroscience 363
- Reproductive Medicine 347
- Public Health, Environmental and Occupational Health 323
- Cognitive Neuroscience 277
Countries citing papers authored by Stephanie Cheung
This map shows the geographic impact of Stephanie Cheung'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 Stephanie Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie Cheung more than expected).
Fields of papers citing papers by Stephanie Cheung
This network shows the impact of papers produced by Stephanie Cheung. 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 Stephanie Cheung. The network helps show where Stephanie Cheung may publish in the future.
Co-authorship network of co-authors of Stephanie Cheung
This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie Cheung. A scholar is included among the top collaborators of Stephanie Cheung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephanie Cheung. Stephanie Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 12 | |
| 11 | 43 | |
| 12 | 0 | |
| 13 | 17 | |
| 14 | 16 | |
| 15 | 14 | |
| 16 | 87 | |
| 17 | 35 | |
| 18 | 47 | |
| 19 | 75 | |
| 20 | 129 |
About Stephanie Cheung
Stephanie Cheung is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (25 papers), Sperm and Testicular Function (25 papers) and Reproductive Health and Technologies (9 papers). The work is most often cited by research in Reproductive Medicine (347 citations), Cellular and Molecular Neuroscience (363 citations) and Cognitive Neuroscience (277 citations). Stephanie Cheung has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Steven A. Siegelbaum, Gianpiero D. Palermo, Zev Rosenwaks, David P. Toczyski, Alessandra Parrella, Jayeeta Basu, Philip Xie, Robert Rohling, Derek Keating and Boris V. Zemelman. Their work appears in journals such as Science, Cell and Journal of Biological Chemistry.
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.