Jun You
Impact in
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- Colorectal Cancer Surgical Treatments
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
- Colorectal Cancer Treatments and Studies
- Drug Transport and Resistance Mechanisms
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- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
Papers in
- Oncology 15
- Colorectal Cancer Surgical Treatments 7
- Cancer Immunotherapy and Biomarkers 2
- Pancreatic and Hepatic Oncology Research 2
- Drug Transport and Resistance Mechanisms 1
- Lymphatic System and Diseases 1
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- Gastric Cancer Management and Outcomes 15
- Co-authors
- Lu Xia (3 shared papers)Yanming Zhou (4 shared papers)Shuai Chen (2 shared papers)Zhiming Zhang (2 shared papers)Chi‐Meng Tzeng (2 shared papers)Han Wang (2 shared papers)Guoxian Guan (2 shared papers)Qiu-Wan Wu (2 shared papers)
In The Last Decade
Jun You
34 papers receiving 457 citations
Peers
Comparison fields: 5 of 52
- Oncology 172
- Cancer Research 55
- Pulmonary and Respiratory Medicine 125
- Molecular Biology 69
- Pathology and Forensic Medicine 15
Countries citing papers authored by Jun You
This map shows the geographic impact of Jun You'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 You with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun You more than expected).
Fields of papers citing papers by Jun You
This network shows the impact of papers produced by Jun You. 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 You. The network helps show where Jun You may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun You, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 62 | |
| 2 | 2018 | 49 | |
| 3 | 2021 | 35 | |
| 4 | 2018 | 30 | |
| 5 | 2020 | 29 | |
| 6 | 2014 | 28 | |
| 7 | 2021 | 26 | |
| 8 | 2014 | 24 | |
| 9 | 2019 | 19 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2023 | 13 | |
| 14 | 2024 | 13 | |
| 15 | 2018 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2025 | 8 | |
| 20 | 2021 | 5 |
About Jun You
Jun You is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Cancer Research and Pathology and Forensic Medicine, having authored 40 papers that have together received 466 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (15 papers), Colorectal Cancer Surgical Treatments (7 papers), Cancer Immunotherapy and Biomarkers (2 papers), Enhanced Recovery After Surgery (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Esophageal Cancer Research and Treatment (2 papers), Drug Transport and Resistance Mechanisms (1 paper) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Oncology (172 citations), Cancer Research (55 citations), Pulmonary and Respiratory Medicine (125 citations), Molecular Biology (69 citations) and Pathology and Forensic Medicine (15 citations). Jun You has collaborated with scholars based in China, Japan and Austria. Frequent co-authors include Lu Xia, Yanming Zhou, Shuai Chen, Zhiming Zhang, Chi‐Meng Tzeng, Han Wang, Guoxian Guan, Qiu-Wan Wu, Mingli Li and Fangfang Li. Their work appears in journals such as International Journal of Surgery, Frontiers in Oncology, JAMA Network Open, Journal of Translational Medicine and Cancer Management and Research.
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.