Mong‐Wei Lin

3.3k citations
140 papers · 2.6k · h-index 25

Impact in

    • Lung Cancer Diagnosis and Treatment
    • Lung Cancer Treatments and Mutations
    • Pleural and Pulmonary Diseases
    • Metastasis and carcinoma case studies
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies

Papers in

Mong‐Wei Lin

121 papers receiving 2.5k citations

Peers

Mong‐Wei Lin
Comparison fields: 5 of 86
  • Pulmonary and Respiratory Medicine 1.2k
  • Oncology 611
  • Neurology 126
  • Anesthesiology and Pain Medicine 57
  • Cancer Research 102
Replace Xiangning Fu with:
Xiangning Fu China
Frederic W. Grannis United States
Hideki Kimura Japan
Yoshifumi Shimada Japan
Fumihiro Shoji Japan
Xiaoyu Zhu China
Édouard Auclin France
Kazuhiro Araki Japan
Jiaxi He China
Mengnan Zhao China
Mong‐Wei Lin relative to Xiangning Fu China Xiangning Fu's profile →
Citations per field
00.5×2×3.2×
Xiangning Fu · 1×
Citations per year

Countries citing papers authored by Mong‐Wei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Mong‐Wei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mong‐Wei Lin. 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 Mong‐Wei Lin. The network helps show where Mong‐Wei Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020286
2 2014268
3 2016114
4 1995112
5 2016111
6 201694
7 201687
8 201580
9 200967
10 201266
11 201359
12 200457
13 201654
14 201849
15 201643
16 201838
17 201434
18 201933
19 202133
20 201731

About Mong‐Wei Lin

Mong‐Wei Lin is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Radiology, Nuclear Medicine and Imaging and Anesthesiology and Pain Medicine, having authored 140 papers that have together received 2.6k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (50 papers), Lung Cancer Treatments and Mutations (14 papers), Esophageal Cancer Research and Treatment (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Research Studies (8 papers), Innovations in Medical Education (7 papers), Pleural and Pulmonary Diseases (6 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.2k citations), Oncology (611 citations), Neurology (126 citations), Anesthesiology and Pain Medicine (57 citations) and Cancer Research (102 citations). Mong‐Wei Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yih‐Leong Chang, Jin‐Shing Chen, Chen‐Tu Wu, Pan‐Chyr Yang, Ching‐Yao Yang, Hsao‐Hsun Hsu, Min‐Shu Hsieh, Shuenn‐Wen Kuo, Pei‐Ming Huang and Jang‐Ming Lee. Their work appears in journals such as Annals of Surgical Oncology, Lung Cancer, Cancers, The Annals of Thoracic Surgery and Journal of Thoracic and Cardiovascular Surgery.

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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