M. Wu
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Hepatology 11
- Hepatocellular Carcinoma Treatment and Prognosis 11
- Liver Disease and Transplantation 2
- Surgery 9
- Cholangiocarcinoma and Gallbladder Cancer Studies 6
- Co-authors
- Yuan Yang (4 shared papers)Shimin Fu (4 shared papers)Weiping Zhou (4 shared papers)Tian Yang (2 shared papers)Ze‐Ya Pan (2 shared papers)Dadi Jin (1 shared paper)Man‐Sun Sy (1 shared paper)Jun Ma (1 shared paper)
In The Last Decade
M. Wu
22 papers receiving 862 citations
Peers
Comparison fields: 5 of 80
- Hepatology 298
- Cancer Research 279
- Immunology and Allergy 50
- Oncology 183
- Cell Biology 103
Countries citing papers authored by M. Wu
This map shows the geographic impact of M. Wu'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 M. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Wu more than expected).
Fields of papers citing papers by M. Wu
This network shows the impact of papers produced by M. Wu. 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 M. Wu. The network helps show where M. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Wu, 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 | 2010 | 218 | |
| 2 | Potential use of soluble CD44 in serum as indicator of tumor burden and metastasis in patients with gastric or colon cancer. | 1994 | 150 |
| 3 | 2012 | 71 | |
| 4 | 2006 | 67 | |
| 5 | 2013 | 64 | |
| 6 | 2014 | 58 | |
| 7 | 2014 | 57 | |
| 8 | 2014 | 52 | |
| 9 | 2014 | 44 | |
| 10 | 2007 | 34 | |
| 11 | 2007 | 10 | |
| 12 | 2012 | 8 | |
| 13 | [Surgical treatment of primary liver cancer]. | 1996 | 8 |
| 14 | [E-selectin and its ligand-sLeX in the metastasis of hepatocellular carcinoma]. | 2000 | 6 |
| 15 | 2023 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2008 | 4 | |
| 18 | [Significance of TNM clasification in prognostic evaluation of hepatocelluar carcinoma following surgical resection]. | 1999 | 4 |
| 19 | 1997 | 3 | |
| 20 | 2023 | 2 |
About M. Wu
M. Wu is a scholar working on Hepatology, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Molecular Biology, having authored 24 papers that have together received 872 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Liver Disease Diagnosis and Treatment (3 papers), MicroRNA in disease regulation (2 papers), Liver Disease and Transplantation (2 papers), Cancer, Lipids, and Metabolism (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Hepatology (298 citations), Cancer Research (279 citations), Immunology and Allergy (50 citations), Oncology (183 citations) and Cell Biology (103 citations). M. Wu has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Yuan Yang, Shimin Fu, Weiping Zhou, Tian Yang, Ze‐Ya Pan, Dadi Jin, Man‐Sun Sy, Jun Ma, Xiaochen Wang and Geng Liu. Their work appears in journals such as European Journal of Surgical Oncology, British Journal of Cancer, British journal of surgery, Oncology Reports and Oncogenesis.
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.