Ling Yang
Impact in
- Modeling and Simulation top 5%
- Communication top 10%
Papers in ⓘ
- Co-authors
- Yuyang Cai (11 shared papers)Zhaohui Su (4 shared papers)Dean McDonnell (4 shared papers)Yu‐Tao Xiang (3 shared papers)Xiaoshan Li (3 shared papers)Ali Cheshmehzangi (2 shared papers)Junaid Aḥmad (2 shared papers)Jun Wen (2 shared papers)
- Journals
- Annals of Oncology (2 papers)Cancer Research (2 papers)Frontiers in Psychiatry (1 paper)Journal of Thoracic Oncology (1 paper)BMJ Global Health (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ling Yang
53 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Modeling and Simulation 54
- Communication 65
- Clinical Psychology 192
- Health 72
- Infectious Diseases 133
Countries citing papers authored by Ling Yang
This map shows the geographic impact of Ling Yang'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 Ling Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Yang more than expected).
Fields of papers citing papers by Ling Yang
This network shows the impact of papers produced by Ling Yang. 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 Ling Yang. The network helps show where Ling Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Yang, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mental health consequences of COVID-19 media coverage: the need for effective crisis communication practices Hit paper breakdown → | 2021 | 277 |
| 2 | 2020 | 119 | |
| 3 | Comparison of microvascular permeability measurements, K(trans), determined with conventional steady-state T1-weighted and first-pass T2*-weighted MR imaging methods in gliomas and meningiomas. | 2006 | 98 |
| 4 | 2019 | 76 | |
| 5 | 2020 | 58 | |
| 6 | 2018 | 41 | |
| 7 | 2019 | 39 | |
| 8 | 2020 | 35 | |
| 9 | 2010 | 31 | |
| 10 | 2020 | 24 | |
| 11 | 2011 | 24 | |
| 12 | 2021 | 24 | |
| 13 | 2022 | 23 | |
| 14 | 2020 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2019 | 18 | |
| 17 | 2008 | 17 | |
| 18 | 2021 | 15 | |
| 19 | 2017 | 13 | |
| 20 | 2021 | 12 |
About Ling Yang
Ling Yang is a scholar working on General Decision Sciences, Applied Psychology, Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Nanoplatforms for cancer theranostics (4 papers), COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), HER2/EGFR in Cancer Research (3 papers), MRI in cancer diagnosis (3 papers) and Colorectal Cancer Treatments and Studies (3 papers). The work is most often cited by research in Modeling and Simulation (54 citations), Communication (65 citations), Clinical Psychology (192 citations), Health (72 citations) and Infectious Diseases (133 citations). Ling Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuyang Cai, Zhaohui Su, Dean McDonnell, Yu‐Tao Xiang, Xiaoshan Li, Ali Cheshmehzangi, Junaid Aḥmad, Jun Wen, Jaffar Abbas and Metin Kozak. Their work appears in journals such as Annals of Oncology, Cancer Research, Frontiers in Psychiatry, Journal of Thoracic Oncology and BMJ Global Health.
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.