Ling Yang

53 papers receiving 1.1k citations

Hit Papers

Mental health consequences of COVID-19 media coverage: the need for effective crisis communication practices 2021 · 277 citations
277202120262022202450100150200250

Peers

Ling Yang
Comparison fields: 5 of 153
  • Modeling and Simulation 54
  • Communication 65
  • Clinical Psychology 192
  • Health 72
  • Infectious Diseases 133
Replace Elena Soto‐Vega with:
Elena Soto‐Vega Mexico
Adrian Bailey Canada
Yuyang Cai China
Xiaoshan Li China
Anant Kumar India
Erin K. Maloney United States
Peter Hughes United Kingdom
Andrea Jonas United States
Neil R. Smith United Kingdom
Koji Ueno United States
Ling Yang relative to Elena Soto‐Vega Mexico Elena Soto‐Vega's profile →
Citations per field
00.5×1.5×2.4×
Elena Soto‐Vega · 1×
Citations per year

Countries citing papers authored by Ling Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ling Yang Line = papers co-authored together Ling Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2021277
2 2020119
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.
200698
4 201976
5 202058
6 201841
7 201939
8 202035
9 201031
10 202024
11 201124
12 202124
13 202223
14 202018
15 202018
16 201918
17 200817
18 202115
19 201713
20 202112

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026