Junjun She
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Gut microbiota and health
- Extracellular vesicles in disease
Papers in
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- MicroRNA in disease regulation 6
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- Gut microbiota and health 9
- Circular RNAs in diseases 6
- Co-authors
- Feiyu Shi (36 shared papers)Gang Guo (6 shared papers)Yaping Liu (2 shared papers)Chengxin Shi (7 shared papers)Jun Yu (8 shared papers)Hongping Xia (6 shared papers)Chenhao Hu (19 shared papers)Dan Shao (4 shared papers)
- Journals
- Frontiers in Oncology (4 papers)Surgical Endoscopy (4 papers)Oncology Reports (3 papers)Scientific Reports (3 papers)Stem Cell Research & Therapy (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Junjun She
90 papers receiving 1.8k citations
Junjun She's Hit Papers
Peers
Comparison fields: 5 of 114
- Cancer Research 239
- Molecular Biology 747
- Gastroenterology 48
- Oncology 206
- Biomaterials 95
Countries citing papers authored by Junjun She
This map shows the geographic impact of Junjun She'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 Junjun She with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjun She more than expected).
Fields of papers citing papers by Junjun She
This network shows the impact of papers produced by Junjun She. 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 Junjun She. The network helps show where Junjun She may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjun She, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A nanoparticulate dual scavenger for targeted therapy of inflammatory bowel disease Hit paper breakdown → | 2022 | 199 |
| 2 | 2022 | 109 | |
| 3 | 2022 | 108 | |
| 4 | 2021 | 73 | |
| 5 | 2016 | 64 | |
| 6 | 2019 | 56 | |
| 7 | 2022 | 50 | |
| 8 | 2022 | 49 | |
| 9 | 2024 | 45 | |
| 10 | 2020 | 44 | |
| 11 | 2019 | 40 | |
| 12 | 2024 | 38 | |
| 13 | 2015 | 35 | |
| 14 | 2018 | 34 | |
| 15 | 2019 | 33 | |
| 16 | 2018 | 32 | |
| 17 | 2020 | 31 | |
| 18 | 2022 | 29 | |
| 19 | 2016 | 28 | |
| 20 | 2022 | 28 |
About Junjun She
Junjun She is a scholar working on Cancer Research, Molecular Biology, Oncology, Gastroenterology and Pulmonary and Respiratory Medicine, having authored 97 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gut microbiota and health (9 papers), Gastric Cancer Management and Outcomes (9 papers), Colorectal Cancer Surgical Treatments (8 papers), Nanoplatforms for cancer theranostics (6 papers), Advanced Nanomaterials in Catalysis (6 papers), Gastrointestinal Tumor Research and Treatment (6 papers), Circular RNAs in diseases (6 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Cancer Research (239 citations), Molecular Biology (747 citations), Gastroenterology (48 citations), Oncology (206 citations) and Biomaterials (95 citations). Junjun She has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Feiyu Shi, Gang Guo, Yaping Liu, Chengxin Shi, Jun Yu, Hongping Xia, Chenhao Hu, Dan Shao, Qingxia Wei and Chao Yang. Their work appears in journals such as Frontiers in Oncology, Surgical Endoscopy, Oncology Reports, Scientific Reports and Stem Cell Research & Therapy.
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.