Jun Jiang
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Metabolism, Diabetes, and Cancer
- RNA modifications and cancer
- Cancer-related gene regulation
Papers in
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- Epigenetics and DNA Methylation 8
- Metabolism, Diabetes, and Cancer 6
- RNA modifications and cancer 6
- RNA Research and Splicing 5
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- Prostate Cancer Treatment and Research 11
- Renal cell carcinoma treatment 6
- Co-authors
- Dianzheng Zhang (31 shared papers)Qiuli Liu (33 shared papers)Dali Tong (23 shared papers)Weihua Lan (24 shared papers)Gaolei Liu (20 shared papers)Jing Xu (16 shared papers)Luofu Wang (21 shared papers)Hualiang Xiao (5 shared papers)
- Journals
- Medicine (4 papers)Journal of Cancer (4 papers)Frontiers in Oncology (4 papers)PLoS ONE (3 papers)Cancer Biology & Therapy (3 papers)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Jun Jiang
103 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 505
- Molecular Biology 1.0k
- Oncology 354
- Pulmonary and Respiratory Medicine 321
- Endocrinology, Diabetes and Metabolism 127
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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 195 | |
| 2 | 2016 | 110 | |
| 3 | 2017 | 90 | |
| 4 | 2018 | 88 | |
| 5 | 2018 | 87 | |
| 6 | 2016 | 60 | |
| 7 | 2010 | 58 | |
| 8 | 2015 | 52 | |
| 9 | 2023 | 52 | |
| 10 | 2016 | 50 | |
| 11 | 2020 | 49 | |
| 12 | 2022 | 48 | |
| 13 | 2018 | 41 | |
| 14 | 2016 | 37 | |
| 15 | 2019 | 36 | |
| 16 | 2012 | 34 | |
| 17 | 2020 | 34 | |
| 18 | 2017 | 34 | |
| 19 | 2020 | 33 | |
| 20 | 2020 | 33 |
About Jun Jiang
Jun Jiang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Cancer Research and Oncology, having authored 112 papers that have together received 2.0k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (11 papers), Cancer, Hypoxia, and Metabolism (10 papers), Epigenetics and DNA Methylation (8 papers), Metabolism, Diabetes, and Cancer (6 papers), RNA modifications and cancer (6 papers), Renal cell carcinoma treatment (6 papers), RNA Research and Splicing (5 papers) and Adrenal and Paraganglionic Tumors (5 papers). The work is most often cited by research in Cancer Research (505 citations), Molecular Biology (1.0k citations), Oncology (354 citations), Pulmonary and Respiratory Medicine (321 citations) and Endocrinology, Diabetes and Metabolism (127 citations). Jun Jiang has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Dianzheng Zhang, Qiuli Liu, Dali Tong, Weihua Lan, Gaolei Liu, Jing Xu, Luofu Wang, Hualiang Xiao, Yiqiang Huang and Lin-ang Wang. Their work appears in journals such as Medicine, Journal of Cancer, Frontiers in Oncology, PLoS ONE and Cancer Biology & 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.