Jun Jiang
Impact in
- Cancer Research top 2%
- Breast Cancer Treatment Studies
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 2%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
- Co-authors
- Xiaowei Qi (42 shared papers)Yi Zhang (29 shared papers)Bangping Qian (25 shared papers)Linjun Fan (30 shared papers)Minghao Wang (23 shared papers)Bin Wang (19 shared papers)Yong Qiu (15 shared papers)Yaqing Chen (10 shared papers)
- Journals
- Spine (11 papers)European Spine Journal (8 papers)Scientific Reports (7 papers)PLoS ONE (6 papers)Journal of Clinical Oncology (6 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Jiang
298 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 157
- Cancer Research 796
- Oncology 1.0k
- Gastroenterology 182
- Immunology 599
- Pathology and Forensic Medicine 395
Countries citing papers authored by Jun Jiang
This map shows the geographic impact of Jun Jiang'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 Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Jiang more than expected).
Fields of papers citing papers by Jun Jiang
This network shows the impact of papers produced by Jun Jiang. 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 Jiang. The network helps show where Jun Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Jiang, 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 323 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 175 | |
| 2 | 2017 | 171 | |
| 3 | 2015 | 131 | |
| 4 | 2018 | 117 | |
| 5 | Mechanism, safety and efficacy of three tyrosine kinase inhibitors lapatinib, neratinib and pyrotinib in HER2-positive breast cancer. | 2019 | 112 |
| 6 | 2018 | 95 | |
| 7 | 2017 | 94 | |
| 8 | 2015 | 94 | |
| 9 | 2010 | 92 | |
| 10 | 2017 | 89 | |
| 11 | 2023 | 81 | |
| 12 | 2018 | 78 | |
| 13 | 2012 | 73 | |
| 14 | 2011 | 72 | |
| 15 | 2008 | 70 | |
| 16 | 2016 | 66 | |
| 17 | 2009 | 61 | |
| 18 | Multifaceted regulation and functions of replication factor C family in human cancers. | 2018 | 55 |
| 19 | 2017 | 53 | |
| 20 | 2015 | 49 |
About Jun Jiang
Jun Jiang is a scholar working on Surgery, Oncology, Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 323 papers that have together received 5.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (25 papers), Scoliosis diagnosis and treatment (20 papers), HER2/EGFR in Cancer Research (11 papers), Breast Implant and Reconstruction (11 papers), Cancer Immunotherapy and Biomarkers (10 papers), Breast Lesions and Carcinomas (10 papers), Estrogen and related hormone effects (9 papers) and interferon and immune responses (8 papers). The work is most often cited by research in Cancer Research (796 citations), Oncology (1.0k citations), Gastroenterology (182 citations), Immunology (599 citations) and Pathology and Forensic Medicine (395 citations). Jun Jiang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaowei Qi, Yi Zhang, Bangping Qian, Linjun Fan, Minghao Wang, Bin Wang, Yong Qiu, Yaqing Chen, Xinhua Yang and Saihu Mao. Their work appears in journals such as Spine, European Spine Journal, Scientific Reports, PLoS ONE 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.