Jun Dai
- Gastroenterology top 1%
- Gastrointestinal Bleeding Diagnosis and Treatment 10
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 9
- Cancer, Hypoxia, and Metabolism 9
- Surgery top 5%
- Adrenal and Paraganglionic Tumors 20
- Reproductive Medicine top 5%
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- Gastric Cancer Management and Outcomes 10
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- Spine and Intervertebral Disc Pathology 13
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- Hormonal Regulation and Hypertension 12
- Pituitary Gland Disorders and Treatments 10
- Co-authors
- Michael PechtDiganta DasHan ChenZhi‐Zheng GeFukang SunZhi Zheng GeQiurong RuanHongchao He
- Journals
- BMC Musculoskeletal Disorders (3 papers)Gastrointestinal Endoscopy (3 papers)Oncotarget (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Dai
132 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 172
- Gastroenterology 353
- Cancer Research 374
- Surgery 704
- Reproductive Medicine 102
- Pulmonary and Respiratory Medicine 343
Countries citing papers authored by Jun Dai
This map shows the geographic impact of Jun Dai'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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dai more than expected).
Fields of papers citing papers by Jun Dai
This network shows the impact of papers produced by Jun Dai. 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 Dai. The network helps show where Jun Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 71 | |
| 10 | 2020 | 87 | |
| 11 | 2019 | 25 | |
| 12 | 2019 | 38 | |
| 13 | 2019 | 26 | |
| 14 | 2017 | 11 | |
| 15 | 2017 | 1 | |
| 16 | 2015 | 37 | |
| 17 | 2012 | 1 | |
| 18 | Building of Physical and Health Education Model of Adolescent and Intervention Strategies——Based on a Survey of Primary and Secondary Students in Shanghai | 2012 | 1 |
| 19 | 2012 | 1 | |
| 20 | 2009 | 1 |
About Jun Dai
Jun Dai is a scholar working on Gastroenterology, Cancer Research, Surgery, Applied Psychology and Reproductive Medicine, having authored 145 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (20 papers), Spine and Intervertebral Disc Pathology (13 papers), Hormonal Regulation and Hypertension (12 papers), Pituitary Gland Disorders and Treatments (10 papers), Gastric Cancer Management and Outcomes (10 papers), Gastrointestinal Bleeding Diagnosis and Treatment (10 papers), Cancer-related molecular mechanisms research (9 papers) and Cancer, Hypoxia, and Metabolism (9 papers). The work is most often cited by research in Gastroenterology (353 citations), Cancer Research (374 citations), Surgery (704 citations), Reproductive Medicine (102 citations) and Pulmonary and Respiratory Medicine (343 citations). Jun Dai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Michael Pecht, Diganta Das, Han Chen, Zhi‐Zheng Ge, Fukang Sun, Zhi Zheng Ge, Qiurong Ruan, Hongchao He, Yun–Jie Gao and Juping Zhao. Their work appears in journals such as BMC Musculoskeletal Disorders, Gastrointestinal Endoscopy, Oncotarget, ACS Biomaterials Science & Engineering and Scientific Reports.
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.