Faji Yang
Impact in
- Hepatology top 10%
- Liver physiology and pathology
-
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 10
- Pancreatic and Hepatic Oncology Research 5
- Epidemiology 11
- Liver Disease Diagnosis and Treatment 5
- Neuroendocrine Tumor Research Advances 4
- Co-authors
- Longcheng Shang (5 shared papers)Yuan Zhou (6 shared papers)Yuheng Zhang (5 shared papers)Xiaolei Shi (5 shared papers)Wei Zhu (6 shared papers)Yang Liu (5 shared papers)Haozhen Ren (4 shared papers)Xianwen Yuan (4 shared papers)
- Journals
- Frontiers in Oncology (4 papers)BMC Surgery (2 papers)Journal of Experimental & Clinical Cancer Research (2 papers)Annals of Surgical Oncology (2 papers)Cellular Immunology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Faji Yang
31 papers receiving 560 citations
Peers
Comparison fields: 5 of 71
- Hepatology 84
- Cancer Research 101
- Genetics 53
- Cell Biology 80
- Epidemiology 152
Countries citing papers authored by Faji Yang
This map shows the geographic impact of Faji Yang'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 Faji Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faji Yang more than expected).
Fields of papers citing papers by Faji Yang
This network shows the impact of papers produced by Faji Yang. 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 Faji Yang. The network helps show where Faji Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Faji Yang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 81 | |
| 2 | 2019 | 73 | |
| 3 | 2019 | 63 | |
| 4 | 2018 | 45 | |
| 5 | 2018 | 45 | |
| 6 | 2018 | 40 | |
| 7 | 2019 | 38 | |
| 8 | 2018 | 23 | |
| 9 | 2019 | 19 | |
| 10 | 2017 | 16 | |
| 11 | 2022 | 16 | |
| 12 | 2023 | 13 | |
| 13 | 2024 | 11 | |
| 14 | 2024 | 11 | |
| 15 | MCT4 Promotes Hepatocellular Carcinoma Progression by Upregulating TRAPPC5 Gene | 2022 | 9 |
| 16 | 2022 | 9 | |
| 17 | 2024 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2022 | 5 |
About Faji Yang
Faji Yang is a scholar working on Oncology, Epidemiology, Hepatology, Cell Biology and Cancer Research, having authored 32 papers that have together received 563 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Gallbladder and Bile Duct Disorders (2 papers). The work is most often cited by research in Hepatology (84 citations), Cancer Research (101 citations), Genetics (53 citations), Cell Biology (80 citations) and Epidemiology (152 citations). Faji Yang has collaborated with scholars based in China and United States. Frequent co-authors include Longcheng Shang, Yuan Zhou, Yuheng Zhang, Xiaolei Shi, Wei Zhu, Yang Liu, Haozhen Ren, Xianwen Yuan, Shuai Wang and Jinglin Wang. Their work appears in journals such as Frontiers in Oncology, BMC Surgery, Journal of Experimental & Clinical Cancer Research, Annals of Surgical Oncology and Cellular Immunology.
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.