Jisheng Cui
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- John L. HopperStephen HarrapLorraine DennersteinHenry BurgerEmma DudleyGraham G. GilesGillian S. DiteMelissa C. Southey
- Topics
- Genetic Associations and Epidemiology (7 papers)BRCA gene mutations in cancer (6 papers)Statistical Methods and Bayesian Inference (5 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismAmerican Journal of EpidemiologyBiometrics
- Partner nations
- AustraliaNew ZealandChina
In The Last Decade
Jisheng Cui
37 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 130
- Genetics 402
- Endocrinology, Diabetes and Metabolism 337
- Molecular Biology 204
- Cardiology and Cardiovascular Medicine 165
- Public Health, Environmental and Occupational Health 155
Countries citing papers authored by Jisheng Cui
This map shows the geographic impact of Jisheng Cui'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 Jisheng Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jisheng Cui more than expected).
Fields of papers citing papers by Jisheng Cui
This network shows the impact of papers produced by Jisheng Cui. 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 Jisheng Cui. The network helps show where Jisheng Cui may publish in the future.
Co-authorship network of co-authors of Jisheng Cui
This figure shows the co-authorship network connecting the top 25 collaborators of Jisheng Cui. A scholar is included among the top collaborators of Jisheng Cui 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 Jisheng Cui. Jisheng Cui 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 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 44 | |
| 6 | 63 | |
| 7 | 21 | |
| 8 | 15 | |
| 9 | 230 | |
| 10 | 3 | |
| 11 | The BRCA2 372 HH Genotype Is Associated with Risk of Breast Cancer in Australian Women Under Age 60 Years 1 | 8 |
| 12 | Hardy-Weinberg equilibrium test in case-control studies | 10 |
| 13 | 90 | |
| 14 | Why are the majority of hereditary cases of early-onset breast cancer sporadic? A simulation study. | 32 |
| 15 | 23 | |
| 16 | 327 | |
| 17 | 3 | |
| 18 | 54 | |
| 19 | 70 | |
| 20 | 8 |
About Jisheng Cui
Jisheng Cui is a scholar working on Statistics and Probability, Virology and Genetics, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), BRCA gene mutations in cancer (6 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (337 citations), Genetics (402 citations) and Statistics and Probability (116 citations). Jisheng Cui has collaborated with scholars based in Australia, New Zealand and China. Frequent co-authors include John L. Hopper, Stephen Harrap, Lorraine Dennerstein, Henry Burger, Emma Dudley, Graham G. Giles, Gillian S. Dite, Melissa C. Southey, Niels G. Becker and JL Hopper. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Epidemiology and Biometrics.
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.