Yating Wang
Impact in
- Oncology top 10%
- Lung Cancer Research Studies
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
- Immunology 11
- Immunodeficiency and Autoimmune Disorders 6
- Oncology 10
- Cancer Immunotherapy and Biomarkers 2
- Inflammatory Biomarkers in Disease Prognosis 2
- Co-authors
- Suresh S. Ramalingam (2 shared papers)Donghao Zhang (2 shared papers)Lecia V. Sequist (1 shared paper)Zofia Piotrowska (1 shared paper)Henghui Zhang (3 shared papers)Yi Li (1 shared paper)Lihui Wang (1 shared paper)Hui Zeng (2 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Blood (2 papers)Frontiers in Public Health (2 papers)European journal of psychotraumatology (2 papers)Emerging Markets Finance and Trade (1 paper)
- Partner nations
- ChinaUnited StatesIran
In The Last Decade
Yating Wang
58 papers receiving 903 citations
Peers
Comparison fields: 5 of 136
- Oncology 254
- Biological Psychiatry 17
- Cancer Research 83
- Pulmonary and Respiratory Medicine 154
- Modeling and Simulation 20
Countries citing papers authored by Yating Wang
This map shows the geographic impact of Yating 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 Yating Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yating Wang more than expected).
Fields of papers citing papers by Yating Wang
This network shows the impact of papers produced by Yating 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 Yating Wang. The network helps show where Yating Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yating 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
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 99 | |
| 2 | 2020 | 98 | |
| 3 | 2017 | 85 | |
| 4 | 2020 | 76 | |
| 5 | 2019 | 64 | |
| 6 | 2014 | 61 | |
| 7 | 2024 | 53 | |
| 8 | 2021 | 29 | |
| 9 | 2021 | 28 | |
| 10 | 2018 | 25 | |
| 11 | 2020 | 24 | |
| 12 | 2017 | 24 | |
| 13 | 2009 | 23 | |
| 14 | 2014 | 18 | |
| 15 | 2014 | 15 | |
| 16 | 2022 | 15 | |
| 17 | 2021 | 13 | |
| 18 | 2020 | 13 | |
| 19 | 2014 | 13 | |
| 20 | 2020 | 12 |
About Yating Wang
Yating Wang is a scholar working on Immunology, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 76 papers that have together received 916 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (6 papers), Endometrial and Cervical Cancer Treatments (4 papers), MicroRNA in disease regulation (3 papers), Parvovirus B19 Infection Studies (2 papers), Insurance and Financial Risk Management (2 papers), COVID-19 Clinical Research Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Oncology (254 citations), Biological Psychiatry (17 citations), Cancer Research (83 citations), Pulmonary and Respiratory Medicine (154 citations) and Modeling and Simulation (20 citations). Yating Wang has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Suresh S. Ramalingam, Donghao Zhang, Lecia V. Sequist, Zofia Piotrowska, Henghui Zhang, Yi Li, Lihui Wang, Hui Zeng, Chunfu Wu and Shuai Liu. Their work appears in journals such as Journal of Clinical Oncology, Blood, Frontiers in Public Health, European journal of psychotraumatology and Emerging Markets Finance and Trade.
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.