Jun-Peng Lin

550 citations
23 papers · 300 · h-index 9

Impact in

Papers in

Jun-Peng Lin

22 papers receiving 300 citations

Peers

Jun-Peng Lin
Comparison fields: 5 of 40
  • Oncology 115
  • Pulmonary and Respiratory Medicine 85
  • Gastroenterology 9
  • Surgery 51
  • Geriatrics and Gerontology 4
Replace Keiichiro Yokota with:
Keiichiro Yokota Japan
Ryuichiro Sawada Japan
Wafaa Elatre United States
Pauline Duconseil France
Tadayoshi Hashimoto Japan
Takaaki Furukawa Japan
Luca Pompella Italy
Ayumu Matsuoka Japan
Naoki Shinno Japan
Hiromichi Miyagaki Japan
Jun-Peng Lin relative to Keiichiro Yokota Japan Keiichiro Yokota's profile →
Citations per field
00.5×4.3×
Keiichiro Yokota · 1×
Citations per year

Countries citing papers authored by Jun-Peng Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201868
2 201955
3 202038
4 201733
5 202019
6 202212
7 202010
8 201910
9 20188
10 20208
11 20247
12 20216
13 20195
14 20195
15 20194
16 20232
17 20242
18 20232
19 20242
20 20222

About Jun-Peng Lin

Jun-Peng Lin is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Gastroenterology and Pathology and Forensic Medicine, having authored 23 papers that have together received 300 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (8 papers), Esophageal Cancer Research and Treatment (6 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Gastrointestinal Tumor Research and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cardiovascular Effects of Exercise (1 paper), Lung Cancer Research Studies (1 paper) and Metastasis and carcinoma case studies (1 paper). The work is most often cited by research in Oncology (115 citations), Pulmonary and Respiratory Medicine (85 citations), Gastroenterology (9 citations), Surgery (51 citations) and Geriatrics and Gerontology (4 citations). Jun-Peng Lin has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Jia-Bin Wang, Mi Lin, Ru‐Hong Tu, Long‐Long Cao, Jian‐Xian Lin, Chang‐Ming Huang, Qi‐Yue Chen, Ping Li, Jian‐Wei Xie and Chao‐Hui Zheng. Their work appears in journals such as Annals of Surgical Oncology, Journal of Cancer Research and Clinical Oncology, Journal of Cancer, European Journal of Surgical Oncology and Hematological 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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