Ying A. Wang
Impact in
- Structural Biology top 10%
-
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
Papers in
-
- Angiogenesis and VEGF in Cancer 2
- DNA Repair Mechanisms 2
- Oncology 5
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Xiong Yu (5 shared papers)Edward H. Egelman (5 shared papers)Masamichi Tsuboi (1 shared paper)Stacy A. Overman (1 shared paper)George J. Thomas (1 shared paper)Philip M. Silverman (1 shared paper)Robin L. Harris (1 shared paper)Sandy Y. M. Ng (1 shared paper)
- Journals
- Journal of Molecular Biology (4 papers)Journal of Clinical Oncology (3 papers)Circulation Cardiovascular Genetics (1 paper)Clinical Cancer Research (1 paper)Blood (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Ying A. Wang
16 papers receiving 646 citations
Peers
Comparison fields: 5 of 89
- Structural Biology 23
- Oncology 175
- Endocrinology 29
- Immunology 97
- Molecular Biology 286
Countries citing papers authored by Ying A. Wang
This map shows the geographic impact of Ying A. 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 Ying A. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying A. Wang more than expected).
Fields of papers citing papers by Ying A. Wang
This network shows the impact of papers produced by Ying A. 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 Ying A. Wang. The network helps show where Ying A. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying A. 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 | 2015 | 131 | |
| 2 | 2006 | 88 | |
| 3 | 2020 | 69 | |
| 4 | 2021 | 57 | |
| 5 | 2013 | 55 | |
| 6 | 2008 | 45 | |
| 7 | 2008 | 39 | |
| 8 | 2015 | 37 | |
| 9 | 2006 | 37 | |
| 10 | 2018 | 34 | |
| 11 | 2011 | 21 | |
| 12 | 2021 | 16 | |
| 13 | 2011 | 14 | |
| 14 | 2009 | 10 | |
| 15 | 2022 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 0 |
About Ying A. Wang
Ying A. Wang is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Ecology, having authored 17 papers that have together received 658 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Cancer Genomics and Diagnostics (2 papers), DNA Repair Mechanisms (2 papers), Lung Cancer Treatments and Mutations (2 papers), Genetic factors in colorectal cancer (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Structural Biology (23 citations), Oncology (175 citations), Endocrinology (29 citations), Immunology (97 citations) and Molecular Biology (286 citations). Ying A. Wang has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Xiong Yu, Edward H. Egelman, Masamichi Tsuboi, Stacy A. Overman, George J. Thomas, Philip M. Silverman, Robin L. Harris, Sandy Y. M. Ng, Ken F. Jarrell and Cesare Gridelli. Their work appears in journals such as Journal of Molecular Biology, Journal of Clinical Oncology, Circulation Cardiovascular Genetics, Clinical Cancer Research and Blood.
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.