Jun-Peng Lin
Impact in
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- Inflammatory Biomarkers in Disease Prognosis
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- Gastric Cancer Management and Outcomes
Papers in
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- Gastric Cancer Management and Outcomes 13
- Lung Cancer Diagnosis and Treatment 1
- Oncology 7
- Inflammatory Biomarkers in Disease Prognosis 6
- Lung Cancer Research Studies 1
- Co-authors
- Ru‐Hong Tu (15 shared papers)Jian‐Wei Xie (16 shared papers)Chang‐Ming Huang (15 shared papers)Long‐Long Cao (15 shared papers)Mi Lin (15 shared papers)Ping Li (12 shared papers)Jian‐Xian Lin (13 shared papers)Qi‐Yue Chen (13 shared papers)
In The Last Decade
Jun-Peng Lin
29 papers receiving 461 citations
Peers
Comparison fields: 5 of 38
- Oncology 167
- Pulmonary and Respiratory Medicine 182
- Physiology 38
- Epidemiology 39
- Surgery 47
Countries citing papers authored by Jun-Peng Lin
This map shows the geographic impact of Jun-Peng 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 Jun-Peng Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Peng Lin more than expected).
Fields of papers citing papers by Jun-Peng Lin
This network shows the impact of papers produced by Jun-Peng 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 Jun-Peng Lin. The network helps show where Jun-Peng Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Peng Lin, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 74 | |
| 2 | 2019 | 56 | |
| 3 | 2020 | 44 | |
| 4 | 2021 | 44 | |
| 5 | 2018 | 37 | |
| 6 | 2017 | 33 | |
| 7 | 2021 | 26 | |
| 8 | 2020 | 20 | |
| 9 | 2022 | 17 | |
| 10 | 2020 | 15 | |
| 11 | 2019 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2024 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2019 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2022 | 4 |
About Jun-Peng Lin
Jun-Peng Lin is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 464 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (13 papers), Esophageal Cancer Research and Treatment (11 papers), Inflammatory Biomarkers in Disease Prognosis (6 papers), Lung Cancer Diagnosis and Treatment (1 paper), Cardiac tumors and thrombi (1 paper), Neuroendocrine Tumor Research Advances (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Oncology (167 citations), Pulmonary and Respiratory Medicine (182 citations), Physiology (38 citations), Epidemiology (39 citations) and Surgery (47 citations). Jun-Peng Lin has collaborated with scholars based in China, Italy and Canada. Frequent co-authors include Ru‐Hong Tu, Jian‐Wei Xie, Chang‐Ming Huang, Long‐Long Cao, Mi Lin, Ping Li, Jian‐Xian Lin, Qi‐Yue Chen, Jia-Bin Wang and Chao‐Hui Zheng. Their work appears in journals such as Annals of Surgical Oncology, Journal of Cancer, European Journal of Surgical Oncology, JAMA Network Open 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.