Jess Shen
Impact in
- Genetics top 2%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetic Associations and Epidemiology
- Ecological Modeling top 5%
Papers in
- Co-authors
- David Levine (2 shared papers)Bruce S. Weir (2 shared papers)Xiuwen Zheng (2 shared papers)Stephanie M. Gogarten (2 shared papers)Cathy C. Laurie (2 shared papers)Sandeep Kumar (1 shared paper)Bibaswan Ghoshal (1 shared paper)Mardi Fink (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Bioinformatics (2 papers)The Journal of Urology (1 paper)Nature (1 paper)PubMed (1 paper)
- Partner nations
- CanadaUnited StatesNew Zealand
In The Last Decade
Jess Shen
6 papers receiving 2.1k citations
Jess Shen's Hit Papers
Peers
Comparison fields: 5 of 136
- Genetics 1.1k
- Ecological Modeling 82
- Plant Science 439
- Ecology 302
- Nature and Landscape Conservation 134
Countries citing papers authored by Jess Shen
This map shows the geographic impact of Jess Shen'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 Jess Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jess Shen more than expected).
Fields of papers citing papers by Jess Shen
This network shows the impact of papers produced by Jess Shen. 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 Jess Shen. The network helps show where Jess Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jess Shen, 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 | A high-performance computing toolset for relatedness and principal component analysis of SNP data Hit paper breakdown → | 2012 | 1690 |
| 2 | Single-cell transcriptomes of the regenerating intestine reveal a revival stem cell Hit paper breakdown → | 2019 | 337 |
| 3 | 2012 | 125 | |
| 4 | Using cluster ensemble and validation to identify subtypes of pervasive developmental disorders. | 2007 | 10 |
| 5 | 2018 | 1 | |
| 6 | 2016 | 1 | |
| 7 | 2018 | 0 |
About Jess Shen
Jess Shen is a scholar working on Surgery, Genetics, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 7 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (3 papers), Ferroptosis and cancer prognosis (2 papers), Gene expression and cancer classification (2 papers), Genetic Associations and Epidemiology (2 papers), Autism Spectrum Disorder Research (1 paper), Renal cell carcinoma treatment (1 paper), Digestive system and related health (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Genetics (1.1k citations), Ecological Modeling (82 citations), Plant Science (439 citations), Ecology (302 citations) and Nature and Landscape Conservation (134 citations). Jess Shen has collaborated with scholars based in Canada, United States and New Zealand. Frequent co-authors include David Levine, Bruce S. Weir, Xiuwen Zheng, Stephanie M. Gogarten, Cathy C. Laurie, Sandeep Kumar, Bibaswan Ghoshal, Mardi Fink, Arshad Ayyaz and Alex Gregorieff. Their work appears in journals such as Journal of Clinical Oncology, Bioinformatics, The Journal of Urology, Nature and PubMed.
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.