Bing Quan
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
-
- Cancer, Lipids, and Metabolism
Papers in
-
- RNA modifications and cancer 4
- Oncology 8
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Wenfeng Liu (11 shared papers)Lei Liang (5 shared papers)Tian Yang (6 shared papers)Mengchao Wu (4 shared papers)Ming-Da Wang (4 shared papers)Han Wu (3 shared papers)Li‐Yang Sun (3 shared papers)Wan Yee Lau (4 shared papers)
- Journals
- Disease Markers (2 papers)Frontiers in Oncology (2 papers)Cellular and Molecular Gastroenterology and Hepatology (2 papers)HPB (2 papers)Surgery (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Bing Quan
19 papers receiving 296 citations
Peers
Comparison fields: 5 of 50
- Hepatology 158
- Cancer Research 74
- Oncology 98
- Epidemiology 106
- Immunology 33
Countries citing papers authored by Bing Quan
This map shows the geographic impact of Bing Quan'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 Bing Quan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Quan more than expected).
Fields of papers citing papers by Bing Quan
This network shows the impact of papers produced by Bing Quan. 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 Bing Quan. The network helps show where Bing Quan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Quan, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 79 | |
| 2 | 2018 | 40 | |
| 3 | 2019 | 35 | |
| 4 | LINC02362/hsa-miR-18a-5p/FDX1 axis suppresses proliferation and drives cuproptosis and oxaliplatin sensitivity of hepatocellular carcinoma. | 2023 | 26 |
| 5 | 2021 | 24 | |
| 6 | 2020 | 23 | |
| 7 | 2022 | 21 | |
| 8 | 2024 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2023 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Bing Quan
Bing Quan is a scholar working on Molecular Biology, Oncology, Hepatology, Pulmonary and Respiratory Medicine and Surgery, having authored 24 papers that have together received 300 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Liver Disease Diagnosis and Treatment (5 papers), Ferroptosis and cancer prognosis (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), RNA modifications and cancer (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Mechanisms and Therapy (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Hepatology (158 citations), Cancer Research (74 citations), Oncology (98 citations), Epidemiology (106 citations) and Immunology (33 citations). Bing Quan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wenfeng Liu, Lei Liang, Tian Yang, Mengchao Wu, Ming-Da Wang, Han Wu, Li‐Yang Sun, Wan Yee Lau, Feng Shen and Timothy M. Pawlik. Their work appears in journals such as Disease Markers, Frontiers in Oncology, Cellular and Molecular Gastroenterology and Hepatology, HPB and Surgery.
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.