Yi Kan Wang
Impact in
- Reproductive Medicine top 1%
- Ovarian cancer diagnosis and treatment
- Endometriosis Research and Treatment
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments
Papers in
-
- Ovarian cancer diagnosis and treatment 6
- Endometriosis Research and Treatment 1
-
- Cancer Genomics and Diagnostics 4
- Co-authors
- Sohrab P. Shah (4 shared papers)David George Huntsman (3 shared papers)Ali Bashashati (3 shared papers)Dawn R. Cochrane (2 shared papers)Jennifer Xiao Ye Ji (1 shared paper)Janine Senz (2 shared papers)Michael S. Anglesio (2 shared papers)Paul J. Yong (1 shared paper)
- Journals
- The Journal of Pathology (2 papers)Nature Medicine (2 papers)Nature Genetics (1 paper)Cancer Research (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Yi Kan Wang
12 papers receiving 1.3k citations
Yi Kan Wang's Hit Papers
Peers
Comparison fields: 5 of 71
- Reproductive Medicine 480
- Obstetrics and Gynecology 207
- Cancer Research 294
- Health Informatics 22
- Oncology 240
Countries citing papers authored by Yi Kan Wang
This map shows the geographic impact of Yi Kan Wang'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 Yi Kan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Kan Wang more than expected).
Fields of papers citing papers by Yi Kan Wang
This network shows the impact of papers produced by Yi Kan Wang. 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 Yi Kan Wang. The network helps show where Yi Kan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Kan Wang, 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 | 2018 | 281 | |
| 2 | A foundation model for clinical-grade computational pathology and rare cancers detection Hit paper breakdown → | 2024 | 261 |
| 3 | 2017 | 212 | |
| 4 | 2015 | 162 | |
| 5 | 2015 | 138 | |
| 6 | 2018 | 63 | |
| 7 | 2016 | 59 | |
| 8 | 2019 | 46 | |
| 9 | 2018 | 43 | |
| 10 | 2021 | 37 | |
| 11 | 2024 | 18 | |
| 12 | 2017 | 15 | |
| 13 | 2026 | 0 |
About Yi Kan Wang
Yi Kan Wang is a scholar working on Reproductive Medicine, Cancer Research, Obstetrics and Gynecology, Oncology and Molecular Biology, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (6 papers), Cancer Genomics and Diagnostics (4 papers), Genomics and Chromatin Dynamics (2 papers), AI in cancer detection (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Cancer Cells and Metastasis (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Reproductive Medicine (480 citations), Obstetrics and Gynecology (207 citations), Cancer Research (294 citations), Health Informatics (22 citations) and Oncology (240 citations). Yi Kan Wang has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Sohrab P. Shah, David George Huntsman, Ali Bashashati, Dawn R. Cochrane, Jennifer Xiao Ye Ji, Janine Senz, Michael S. Anglesio, Paul J. Yong, Hossein Shahrabi Farahani and Martin Hirst. Their work appears in journals such as The Journal of Pathology, Nature Medicine, Nature Genetics, Cancer Research and JNCI Journal of the National Cancer Institute.
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.