Jun Peng

2.0k citations
75 papers · 1.2k · h-index 20

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 12
    • RNA modifications and cancer 4
    • Lung Cancer Diagnosis and Treatment 7
    • Tracheal and airway disorders 6
    • Gastric Cancer Management and Outcomes 6
    • Lung Cancer Treatments and Mutations 5

Jun Peng

68 papers receiving 1.2k citations

Peers

Jun Peng
Comparison fields: 5 of 115
  • Cancer Research 156
  • Pulmonary and Respiratory Medicine 265
  • Molecular Biology 473
  • Anesthesiology and Pain Medicine 35
  • Nephrology 44
Replace Hao Luo with:
Hao Luo China
Qing Yao China
Qi Zheng China
Yasuharu Niwa Japan
María Bobadilla Switzerland
Lijuan Hu China
Yong Yu China
Chung‐Sheng Shi Taiwan
Jun Peng relative to Hao Luo China Hao Luo's profile →
Citations per field
00.5×
Hao Luo · 1×
Citations per year

Countries citing papers authored by Jun Peng

Since Specialization
Citations

This map shows the geographic impact of Jun Peng'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 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 more than expected).

Fields of papers citing papers by Jun Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008104
2 201089
3 200879
4 201876
5 201553
6 202147
7 202437
8 201137
9 200434
10 201234
11 201332
12 201531
13 201730
14 201830
15 201029
16 201727
17 201625
18 202023
19 202022
20 201920

About Jun Peng

Jun Peng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Cancer Research and Oncology, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (12 papers), Lung Cancer Diagnosis and Treatment (7 papers), Tracheal and airway disorders (6 papers), Gastric Cancer Management and Outcomes (6 papers), Esophageal Cancer Research and Treatment (5 papers), Esophageal and GI Pathology (5 papers), Lung Cancer Treatments and Mutations (5 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (156 citations), Pulmonary and Respiratory Medicine (265 citations), Molecular Biology (473 citations), Anesthesiology and Pain Medicine (35 citations) and Nephrology (44 citations). Jun Peng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhenfeng Hong, Xuya Yu, Yongteng Zhao, Lei Chen, Wei Ding, Jie Cai, Tao Li, Peng Zhao, Jun‐Wei Xu and Michael Sittinger. Their work appears in journals such as The Annals of Thoracic Surgery, Chinese Journal of Integrative Medicine, PLoS ONE, Oncology Reports and Journal of 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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