Jun Hu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
Papers in
-
- Circular RNAs in diseases 6
- Epigenetics and DNA Methylation 5
- Oncology 20
- Pancreatic and Hepatic Oncology Research 5
- Co-authors
- Songdong Meng (6 shared papers)Changfei Li (5 shared papers)Junli Hao (3 shared papers)Saifeng Wang (2 shared papers)Yaxing Xu (2 shared papers)Chengjian Shi (5 shared papers)Ming Shen (5 shared papers)Stephen J. Forman (4 shared papers)
- Journals
- Blood (3 papers)Scientific Reports (2 papers)The Journal of Immunology (2 papers)World Journal of Surgical Oncology (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jun Hu
78 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 135
- Cancer Research 554
- Oncology 434
- Hepatology 121
- Molecular Biology 818
- Immunology 225
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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 172 | |
| 2 | 2018 | 122 | |
| 3 | 2014 | 106 | |
| 4 | 2016 | 103 | |
| 5 | 2013 | 88 | |
| 6 | 2013 | 83 | |
| 7 | 2016 | 77 | |
| 8 | 1999 | 74 | |
| 9 | 2017 | 68 | |
| 10 | 2014 | 62 | |
| 11 | 2016 | 57 | |
| 12 | 2016 | 54 | |
| 13 | 2021 | 50 | |
| 14 | 2010 | 46 | |
| 15 | 2017 | 46 | |
| 16 | 2010 | 45 | |
| 17 | 2016 | 42 | |
| 18 | 2000 | 42 | |
| 19 | 2013 | 37 | |
| 20 | 2009 | 35 |
About Jun Hu
Jun Hu is a scholar working on Molecular Biology, Oncology, Surgery, Cancer Research and Pulmonary and Respiratory Medicine, having authored 87 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Immune cells in cancer (8 papers), Circular RNAs in diseases (6 papers), Ferroptosis and cancer prognosis (6 papers), Cancer-related molecular mechanisms research (6 papers), Epigenetics and DNA Methylation (5 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Cancer Research (554 citations), Oncology (434 citations), Hepatology (121 citations), Molecular Biology (818 citations) and Immunology (225 citations). Jun Hu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Songdong Meng, Changfei Li, Junli Hao, Saifeng Wang, Yaxing Xu, Chengjian Shi, Ming Shen, Stephen J. Forman, Mickey C.‐T. Hu and L. Jeffrey Medeiros. Their work appears in journals such as Blood, Scientific Reports, The Journal of Immunology, World Journal of Surgical Oncology and Oncotarget.
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.