Bei‐Ge Jiang
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 8
-
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Liang Sun (4 shared papers)Weiping Zhou (10 shared papers)Ze‐Ya Pan (12 shared papers)Zhimin Liu (1 shared paper)Junjie Zou (1 shared paper)Yongquan Shi (1 shared paper)Limei Li (3 shared papers)Jian Huang (9 shared papers)
- Journals
- Oncotarget (3 papers)Cancer Medicine (2 papers)Nanomedicine (1 paper)Cancer Letters (1 paper)International Journal of Molecular Medicine (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Bei‐Ge Jiang
26 papers receiving 675 citations
Peers
Comparison fields: 5 of 79
- Hepatology 104
- Cancer Research 173
- Oncology 100
- Molecular Biology 267
- Surgery 142
Countries citing papers authored by Bei‐Ge Jiang
This map shows the geographic impact of Bei‐Ge 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 Bei‐Ge Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei‐Ge Jiang more than expected).
Fields of papers citing papers by Bei‐Ge Jiang
This network shows the impact of papers produced by Bei‐Ge 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 Bei‐Ge Jiang. The network helps show where Bei‐Ge Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei‐Ge 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 144 | |
| 2 | 2014 | 67 | |
| 3 | 2013 | 51 | |
| 4 | 2022 | 45 | |
| 5 | 2017 | 44 | |
| 6 | 2017 | 37 | |
| 7 | 2013 | 36 | |
| 8 | 2017 | 30 | |
| 9 | 2017 | 27 | |
| 10 | 2020 | 26 | |
| 11 | 2017 | 24 | |
| 12 | 2009 | 24 | |
| 13 | 2020 | 19 | |
| 14 | 2021 | 18 | |
| 15 | 2011 | 16 | |
| 16 | 2015 | 12 | |
| 17 | 2014 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2016 | 8 |
About Bei‐Ge Jiang
Bei‐Ge Jiang is a scholar working on Hepatology, Cancer Research, Pathology and Forensic Medicine, Surgery and Oncology, having authored 26 papers that have together received 680 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Pancreatic function and diabetes (3 papers), Cancer, Lipids, and Metabolism (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cancer Mechanisms and Therapy (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Hepatology (104 citations), Cancer Research (173 citations), Oncology (100 citations), Molecular Biology (267 citations) and Surgery (142 citations). Bei‐Ge Jiang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Liang Sun, Weiping Zhou, Ze‐Ya Pan, Zhimin Liu, Junjie Zou, Yongquan Shi, Limei Li, Jian Huang, Yuan Yang and Fangming Gu. Their work appears in journals such as Oncotarget, Cancer Medicine, Nanomedicine, Cancer Letters and International Journal of Molecular Medicine.
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.