Ying Chi
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Immunology top 2%
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Genetics 29
- Mesenchymal stem cell research 26
- Immunology 20
- Co-authors
- Kenneth J. Pienta (10 shared papers)Robert D. Loberg (9 shared papers)Zhongchao Han (34 shared papers)Hernan Roca (2 shared papers)Zachary S. Varsos (2 shared papers)Linda A. Snyder (3 shared papers)Sudha Sud (1 shared paper)Matthew J. A. Craig (1 shared paper)
- Journals
- Stem Cell Research & Therapy (6 papers)Virology (4 papers)Cellular Physiology and Biochemistry (4 papers)Neoplasia (4 papers)Cytotherapy (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ying Chi
138 papers receiving 7.0k citations
Ying Chi's Hit Papers
Peers
Comparison fields: 5 of 171
- Genetics 957
- Immunology 1.4k
- Oncology 1.7k
- Cancer Research 693
- Radiology, Nuclear Medicine and Imaging 798
Countries citing papers authored by Ying Chi
This map shows the geographic impact of Ying Chi'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 Ying Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Chi more than expected).
Fields of papers citing papers by Ying Chi
This network shows the impact of papers produced by Ying Chi. 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 Ying Chi. The network helps show where Ying Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Chi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets Hit paper breakdown → | 2009 | 892 |
| 2 | Human prostate cancer metastases target the hematopoietic stem cell niche to establish footholds in mouse bone marrow Hit paper breakdown → | 2011 | 588 |
| 3 | 2009 | 493 | |
| 4 | 2007 | 298 | |
| 5 | 2020 | 283 | |
| 6 | 2014 | 237 | |
| 7 | Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images Hit paper breakdown → | 2021 | 237 |
| 8 | 2006 | 229 | |
| 9 | 2007 | 201 | |
| 10 | 2013 | 185 | |
| 11 | 2010 | 169 | |
| 12 | 2016 | 167 | |
| 13 | 2015 | 153 | |
| 14 | 2009 | 138 | |
| 15 | 2021 | 114 | |
| 16 | 2020 | 89 | |
| 17 | 2016 | 86 | |
| 18 | 2021 | 85 | |
| 19 | 2013 | 84 | |
| 20 | 2013 | 77 |
About Ying Chi
Ying Chi is a scholar working on Genetics, Immunology, Hematology, Cancer Research and Computer Vision and Pattern Recognition, having authored 143 papers that have together received 7.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (26 papers), Medical Image Segmentation Techniques (9 papers), Advanced Neural Network Applications (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Influenza Virus Research Studies (6 papers), Cancer-related molecular mechanisms research (6 papers), Parasites and Host Interactions (6 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Genetics (957 citations), Immunology (1.4k citations), Oncology (1.7k citations), Cancer Research (693 citations) and Radiology, Nuclear Medicine and Imaging (798 citations). Ying Chi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kenneth J. Pienta, Robert D. Loberg, Zhongchao Han, Hernan Roca, Zachary S. Varsos, Linda A. Snyder, Sudha Sud, Matthew J. A. Craig, Chris K. Neeley and Yan Li. Their work appears in journals such as Stem Cell Research & Therapy, Virology, Cellular Physiology and Biochemistry, Neoplasia and Cytotherapy.
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.