Runchen Wang

66 papers receiving 637 citations

Peers

Runchen Wang
Comparison fields: 5 of 83
  • Health Informatics 15
  • Oncology 102
  • Transplantation 14
  • Pulmonary and Respiratory Medicine 128
  • Anesthesiology and Pain Medicine 21
Replace Arnaud F. Bewley with:
Arnaud F. Bewley United States
John Pang United States
Wei‐Chieh Lin Taiwan
Katri L. S. Aro Finland
Julian Künzel Germany
Rulin Wang United States
María Mercedes Suárez‐Cunqueiro Spain
Giulia Sedda Italy
Sung Yong Han South Korea
Sergio Coda United Kingdom
Runchen Wang relative to Arnaud F. Bewley United States Arnaud F. Bewley's profile →
Citations per field
00.5×2×3×4×4.7×
Arnaud F. Bewley · 1×
Citations per year

Countries citing papers authored by Runchen Wang

Since Specialization
Citations

This map shows the geographic impact of Runchen 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 Runchen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runchen Wang more than expected).

Fields of papers citing papers by Runchen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Runchen 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 Runchen Wang. The network helps show where Runchen Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Runchen Wang, 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 Runchen Wang Line = papers co-authored together Runchen Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202279
2 202052
3 202236
4 202132
5 202030
6 202427
7 202124
8 202324
9 202221
10 202420
11 202219
12 202118
13 202417
14 202113
15 202213
16 202313
17 202112
18 202212
19 202010
20 202010

About Runchen Wang

Runchen Wang is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Genetics, Anesthesiology and Pain Medicine and Electronic, Optical and Magnetic Materials, having authored 74 papers that have together received 662 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (16 papers), Genetic Associations and Epidemiology (10 papers), Strong Light-Matter Interactions (7 papers), Global Cancer Incidence and Screening (4 papers), Transplantation: Methods and Outcomes (4 papers), Airway Management and Intubation Techniques (4 papers), Ga2O3 and related materials (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Health Informatics (15 citations), Oncology (102 citations), Transplantation (14 citations), Pulmonary and Respiratory Medicine (128 citations) and Anesthesiology and Pain Medicine (21 citations). Runchen Wang has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Jianxing He, Wenhua Liang, Hengrui Liang, Yaokai Wen, Caichen Li, Fan Ge, Zhenyu Huo, Ran Zhong, Haoxin Peng and Xiangrong Wu. Their work appears in journals such as Translational Lung Cancer Research, Annals of Translational Medicine, Journal of Physics D Applied Physics, Transplantation and Journal of Cancer Research and Clinical Oncology.

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.

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