Jun Luo
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Hepatology 17
- Hepatocellular Carcinoma Treatment and Prognosis 17
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- RNA Interference and Gene Delivery 3
- Co-authors
- Min-Shan Chen (4 shared papers)Ming Shi (4 shared papers)Rong Guo (3 shared papers)Eric C. H. Lai (1 shared paper)Yaojun Zhang (1 shared paper)Wan Yee Lau (1 shared paper)Ping Zeng (2 shared papers)Jiafu Feng (2 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Frontiers in Oncology (3 papers)Annals of Hematology (2 papers)Drug Design Development and Therapy (2 papers)Microchemical Journal (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Luo
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Hepatology 514
- Cancer Research 210
- Pathology and Forensic Medicine 143
- Oncology 188
- Molecular Biology 307
Countries citing papers authored by Jun Luo
This map shows the geographic impact of Jun Luo'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 Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Luo more than expected).
Fields of papers citing papers by Jun Luo
This network shows the impact of papers produced by Jun Luo. 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 Luo. The network helps show where Jun Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Luo, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 278 | |
| 2 | 2011 | 110 | |
| 3 | 2011 | 98 | |
| 4 | 2011 | 97 | |
| 5 | 2021 | 67 | |
| 6 | 2012 | 61 | |
| 7 | 2011 | 57 | |
| 8 | 2019 | 53 | |
| 9 | 2011 | 44 | |
| 10 | 2018 | 37 | |
| 11 | 2012 | 37 | |
| 12 | 2018 | 35 | |
| 13 | 2018 | 33 | |
| 14 | 2016 | 30 | |
| 15 | 2014 | 22 | |
| 16 | 2019 | 20 | |
| 17 | 2020 | 20 | |
| 18 | 2017 | 18 | |
| 19 | 2015 | 18 | |
| 20 | 2016 | 18 |
About Jun Luo
Jun Luo is a scholar working on Hepatology, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (17 papers), MicroRNA in disease regulation (6 papers), Ferroptosis and cancer prognosis (4 papers), Breast Lesions and Carcinomas (4 papers), RNA Interference and Gene Delivery (3 papers), Cancer Mechanisms and Therapy (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Hepatology (514 citations), Cancer Research (210 citations), Pathology and Forensic Medicine (143 citations), Oncology (188 citations) and Molecular Biology (307 citations). Jun Luo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Min-Shan Chen, Ming Shi, Rong Guo, Eric C. H. Lai, Yaojun Zhang, Wan Yee Lau, Ping Zeng, Jiafu Feng, Yuwei Yang and Jin-Qing Li. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Oncology, Annals of Hematology, Drug Design Development and Therapy and Microchemical Journal.
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.