Bei‐Ge Jiang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in ⓘ
- Surgery 11
- Cholangiocarcinoma and Gallbladder Cancer Studies 7
- Pancreatic function and diabetes 3
- Hepatology 10
- Hepatocellular Carcinoma Treatment and Prognosis 9
- Co-authors
- Liang Sun (4 shared papers)Weiping Zhou (11 shared papers)Zhimin Liu (1 shared paper)Junjie Zou (1 shared paper)Yongquan Shi (1 shared paper)Ze‐Ya Pan (12 shared papers)Limei Li (3 shared papers)Jian Huang (9 shared papers)
- Journals
- Oncotarget (4 papers)Cancer Medicine (2 papers)Clinical Cancer Research (1 paper)Medicine (1 paper)Nanomedicine (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Bei‐Ge Jiang
26 papers receiving 646 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 219
- Hepatology 111
- Oncology 135
- Molecular Biology 308
- Surgery 168
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 137 | |
| 2 | 2014 | 65 | |
| 3 | 2013 | 51 | |
| 4 | 2017 | 40 | |
| 5 | 2022 | 37 | |
| 6 | 2013 | 36 | |
| 7 | 2017 | 36 | |
| 8 | 2017 | 28 | |
| 9 | 2017 | 27 | |
| 10 | 2020 | 26 | |
| 11 | 2017 | 24 | |
| 12 | 2009 | 21 | |
| 13 | 2020 | 18 | |
| 14 | 2011 | 16 | |
| 15 | 2021 | 14 | |
| 16 | 2015 | 12 | |
| 17 | 2014 | 10 | |
| 18 | 2014 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2020 | 8 |
About Bei‐Ge Jiang
Bei‐Ge Jiang is a scholar working on Surgery, Hepatology, Molecular Biology, Cancer Research and Oncology, having authored 27 papers that have together received 650 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Cancer, Lipids, and Metabolism (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Pancreatic function and diabetes (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), MicroRNA in disease regulation (2 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Cancer Research (219 citations), Hepatology (111 citations), Oncology (135 citations), Molecular Biology (308 citations) and Surgery (168 citations). Bei‐Ge Jiang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Liang Sun, Weiping Zhou, Zhimin Liu, Junjie Zou, Yongquan Shi, Ze‐Ya Pan, Limei Li, Jian Huang, Yuan Yang and Fangming Gu. Their work appears in journals such as Oncotarget, Cancer Medicine, Clinical Cancer Research, Medicine and Nanomedicine.
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.