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
- RNA modifications and cancer
- Metabolism, Diabetes, and Cancer
Papers in ⓘ
-
- RNA modifications and cancer 9
- Epigenetics and DNA Methylation 9
- Metabolism, Diabetes, and Cancer 6
-
- Prostate Cancer Treatment and Research 14
- Renal cell carcinoma treatment 7
- 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)Frontiers in Oncology (4 papers)Journal of Cancer (4 papers)Endocrine Connections (3 papers)Cancer Biology & Therapy (3 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jun Jiang
105 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 590
- Molecular Biology 1.1k
- Oncology 429
- Pulmonary and Respiratory Medicine 382
- Endocrinology, Diabetes and Metabolism 152
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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 186 | |
| 2 | 2016 | 106 | |
| 3 | 2017 | 88 | |
| 4 | 2018 | 86 | |
| 5 | 2018 | 84 | |
| 6 | 2010 | 58 | |
| 7 | 2016 | 58 | |
| 8 | 2015 | 51 | |
| 9 | 2016 | 49 | |
| 10 | 2023 | 49 | |
| 11 | 2020 | 48 | |
| 12 | 2022 | 46 | |
| 13 | 2018 | 39 | |
| 14 | 2016 | 37 | |
| 15 | 2019 | 36 | |
| 16 | 2012 | 34 | |
| 17 | 2017 | 34 | |
| 18 | 2020 | 34 | |
| 19 | 2020 | 33 | |
| 20 | 2020 | 33 |
About Jun Jiang
Jun Jiang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Cancer Research, having authored 113 papers that have together received 2.0k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (14 papers), Cancer, Hypoxia, and Metabolism (13 papers), RNA modifications and cancer (9 papers), Epigenetics and DNA Methylation (9 papers), Adrenal and Paraganglionic Tumors (8 papers), Renal cell carcinoma treatment (7 papers), Metabolism, Diabetes, and Cancer (6 papers) and Cancer Genomics and Diagnostics (6 papers). The work is most often cited by research in Cancer Research (590 citations), Molecular Biology (1.1k citations), Oncology (429 citations), Pulmonary and Respiratory Medicine (382 citations) and Endocrinology, Diabetes and Metabolism (152 citations). Jun Jiang has collaborated with scholars based in China, United States and South Korea. 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, Frontiers in Oncology, Journal of Cancer, Endocrine Connections 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.