Ying Ou
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Chronic Myeloid Leukemia Treatments
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 6
- Protein Degradation and Inhibitors 6
- Biomedical Text Mining and Ontologies 4
- Hematology 20
- Chronic Myeloid Leukemia Treatments 11
- Multiple Myeloma Research and Treatments 9
- Co-authors
- Weijia Liao (4 shared papers)Jian Huang (3 shared papers)Xing Liu (2 shared papers)Srikumar Sahasranaman (10 shared papers)Rafael Ponce (3 shared papers)Wei Wang (1 shared paper)Yanggu Shi (1 shared paper)Elaine M. Faustman (3 shared papers)
- Journals
- Blood (7 papers)Biochemical and Biophysical Research Communications (3 papers)British Journal of Clinical Pharmacology (2 papers)Oncotarget (2 papers)Clinical and Translational Science (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ying Ou
62 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 117
- Genetics 185
- Hematology 197
- Molecular Biology 543
- Cancer Research 108
- Health, Toxicology and Mutagenesis 106
Countries citing papers authored by Ying Ou
This map shows the geographic impact of Ying Ou'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 Ou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Ou more than expected).
Fields of papers citing papers by Ying Ou
This network shows the impact of papers produced by Ying Ou. 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 Ou. The network helps show where Ying Ou may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Ou, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 82 | |
| 2 | 2015 | 78 | |
| 3 | 2013 | 74 | |
| 4 | 2019 | 71 | |
| 5 | 2002 | 63 | |
| 6 | 2004 | 57 | |
| 7 | 2022 | 50 | |
| 8 | 2014 | 50 | |
| 9 | 2021 | 46 | |
| 10 | 2015 | 40 | |
| 11 | 2014 | 37 | |
| 12 | 2004 | 37 | |
| 13 | 2004 | 33 | |
| 14 | 2019 | 31 | |
| 15 | 2008 | 31 | |
| 16 | 1999 | 31 | |
| 17 | 2012 | 29 | |
| 18 | 2021 | 23 | |
| 19 | 2006 | 23 | |
| 20 | 2022 | 22 |
About Ying Ou
Ying Ou is a scholar working on Molecular Biology, Hematology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (18 papers), Chronic Myeloid Leukemia Treatments (11 papers), Multiple Myeloma Research and Treatments (9 papers), Lymphoma Diagnosis and Treatment (9 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Protein Degradation and Inhibitors (6 papers), Biomedical Text Mining and Ontologies (4 papers) and Conducting polymers and applications (3 papers). The work is most often cited by research in Genetics (185 citations), Hematology (197 citations), Molecular Biology (543 citations), Cancer Research (108 citations) and Health, Toxicology and Mutagenesis (106 citations). Ying Ou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Weijia Liao, Jian Huang, Xing Liu, Srikumar Sahasranaman, Rafael Ponce, Wei Wang, Yanggu Shi, Elaine M. Faustman, Jon Patrick and Lijie Dong. Their work appears in journals such as Blood, Biochemical and Biophysical Research Communications, British Journal of Clinical Pharmacology, Oncotarget and Clinical and Translational Science.
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.