Jun Hu
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
Papers in
-
- RNA Interference and Gene Delivery 14
- RNA modifications and cancer 11
- Genetics 40
- Virus-based gene therapy research 22
- Inflammatory Bowel Disease 12
- Co-authors
- Fengzhen Wang (1 shared paper)Shuwei Wang (1 shared paper)Juan Li (1 shared paper)Dongsheng Zhang (1 shared paper)Xiaolin Liu (7 shared papers)Jiakai Zhu (6 shared papers)Jianping Wang (3 shared papers)Guangmei Yan (24 shared papers)
- Journals
- Oncogene (3 papers)Frontiers in Endocrinology (3 papers)Biomedicine & Pharmacotherapy (3 papers)PLoS ONE (3 papers)Bioconjugate Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Hu
202 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 153
- Cancer Research 977
- Molecular Biology 2.0k
- Oncology 670
- Biomaterials 359
- Cellular and Molecular Neuroscience 397
Countries citing papers authored by Jun Hu
This map shows the geographic impact of Jun Hu'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 Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hu more than expected).
Fields of papers citing papers by Jun Hu
This network shows the impact of papers produced by Jun Hu. 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 Hu. The network helps show where Jun Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Hu, 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 213 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 382 | |
| 2 | 2013 | 235 | |
| 3 | 2014 | 196 | |
| 4 | 2007 | 148 | |
| 5 | 2011 | 134 | |
| 6 | 2002 | 119 | |
| 7 | 2007 | 110 | |
| 8 | 2018 | 99 | |
| 9 | 2015 | 76 | |
| 10 | 2016 | 76 | |
| 11 | 2011 | 75 | |
| 12 | 2013 | 61 | |
| 13 | 2008 | 60 | |
| 14 | 2013 | 58 | |
| 15 | 2018 | 57 | |
| 16 | 2018 | 56 | |
| 17 | 2017 | 56 | |
| 18 | 2017 | 56 | |
| 19 | 2016 | 53 | |
| 20 | 2014 | 52 |
About Jun Hu
Jun Hu is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Epidemiology, having authored 213 papers that have together received 4.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (22 papers), RNA Interference and Gene Delivery (14 papers), Thyroid Cancer Diagnosis and Treatment (14 papers), MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (12 papers), Inflammatory Bowel Disease (12 papers), RNA modifications and cancer (11 papers) and Nanoplatforms for cancer theranostics (10 papers). The work is most often cited by research in Cancer Research (977 citations), Molecular Biology (2.0k citations), Oncology (670 citations), Biomaterials (359 citations) and Cellular and Molecular Neuroscience (397 citations). Jun Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fengzhen Wang, Shuwei Wang, Juan Li, Dongsheng Zhang, Xiaolin Liu, Jiakai Zhu, Jianping Wang, Guangmei Yan, Boxuan Ma and Yunbing Wang. Their work appears in journals such as Oncogene, Frontiers in Endocrinology, Biomedicine & Pharmacotherapy, PLoS ONE and Bioconjugate Chemistry.
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.