M. Wu

1.1k total citations
24 papers, 872 citations indexed

About

M. Wu is a scholar working on Hepatology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M. Wu has authored 24 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hepatology, 9 papers in Surgery and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M. Wu's work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers) and Liver Disease Diagnosis and Treatment (3 papers). M. Wu is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers) and Liver Disease Diagnosis and Treatment (3 papers). M. Wu collaborates with scholars based in China, Hong Kong and Japan. M. Wu's co-authors include Yuan Yang, Shimin Fu, Weiping Zhou, Tian Yang, Ze‐Ya Pan, Dadi Jin, Geng Liu, Jun Ma, Xiaochen Wang and Man‐Sun Sy and has published in prestigious journals such as Physical review. B, Condensed matter, British Journal of Cancer and British journal of surgery.

In The Last Decade

M. Wu

22 papers receiving 862 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Wu China 11 377 298 279 224 183 24 872
Kathryn Effendi Japan 16 359 1.0× 260 0.9× 198 0.7× 76 0.3× 232 1.3× 23 766
Jing‐An Rui China 17 557 1.5× 315 1.1× 265 0.9× 172 0.8× 238 1.3× 36 1.1k
Hanako Tsujikawa Japan 15 334 0.9× 466 1.6× 262 0.9× 142 0.6× 403 2.2× 37 1.2k
Annabelle Vogt Germany 15 220 0.6× 231 0.8× 126 0.5× 122 0.5× 249 1.4× 25 741
Haosheng Jin China 16 420 1.1× 177 0.6× 342 1.2× 214 1.0× 294 1.6× 52 913
Yoshiyuki Kobayashi Japan 21 268 0.7× 595 2.0× 227 0.8× 200 0.9× 266 1.5× 54 1.3k
Emanuela Balladore Italy 8 272 0.7× 160 0.5× 132 0.5× 88 0.4× 405 2.2× 14 771
Shin-ichi Aishima Japan 17 489 1.3× 168 0.6× 150 0.5× 498 2.2× 445 2.4× 20 1.1k
Amanda Mikels‐Vigdal United States 10 254 0.7× 100 0.3× 174 0.6× 92 0.4× 206 1.1× 14 662
Wenwei Zhu China 11 650 1.7× 175 0.6× 422 1.5× 93 0.4× 318 1.7× 19 1.1k

Countries citing papers authored by M. Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of M. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of M. Wu. A scholar is included among the top collaborators of M. Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Wu. M. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, M., C. L. Bai, Dong-Liang Fang, et al.. (2025). Effect of tensor force on 2νββ and 0νββ decays in 76Ge, 82Se, 130Te, and 136Xe*. Chinese Physics C. 49(7). 74112–74112.
2.
Wu, M., Simon T. Dillon, Xin Gu, et al.. (2024). P307 Novel proteomic analysis of 11,000 serum proteins distinguishes between Crohn’s disease and ulcerative colitis in pediatric patients. Journal of Crohn s and Colitis. 18(Supplement_1). i678–i678.
3.
Zhang, Jianming, et al.. (2024). Enhancing low-light images via skip cross-attention fusion and multi-scale lightweight transformer. Journal of Real-Time Image Processing. 21(2). 4 indexed citations
4.
Wang, Zhen, Hao Li, Yue Guan, et al.. (2024). Long-term survival in metastatic gastric cancer patient with Apatinib plus S-1 maintenance treatment following first-line chemotherapy—case report. Frontiers in Oncology. 14. 1478719–1478719. 1 indexed citations
5.
Wu, M., et al.. (2023). Analysis of Baseline Serum Lipid Profile for Predicting Clinical Outcomes of Patients with Extensive-Stage Small Cell Lung Cancer. Cancer Management and Research. Volume 15. 773–783. 5 indexed citations
6.
7.
Yan, Zhi-Ping, Xia Wan, Yong Xia, et al.. (2014). A nomogram predicting pulmonary metastasis of hepatocellular carcinoma following partial hepatectomy. British Journal of Cancer. 110(5). 1110–1117. 57 indexed citations
8.
Liu, Huan, Min Ding, Yuan Yang, et al.. (2014). MiRNA-99a directly regulates AGO2 through translational repression in hepatocellular carcinoma. Oncogenesis. 3(4). e97–e97. 52 indexed citations
9.
Liu, Guanghua, Zhi-Ping Yan, Yong Xia, et al.. (2014). Early intrahepatic recurrence of hepatocellular carcinoma after hepatectomy treated with re-hepatectomy, ablation or chemoembolization: A prospective cohort study. European Journal of Surgical Oncology. 41(2). 236–242. 58 indexed citations
10.
Guo, Wei, et al.. (2014). Alpha-1-fucosidase as a prognostic indicator for hepatocellular carcinoma following hepatectomy: a large-scale, long-term study. British Journal of Cancer. 110(7). 1811–1819. 44 indexed citations
11.
Chen, Xin, Xiong Cai, Lixin Wei, et al.. (2012). Severity of portal hypertension and prediction of postoperative liver failure after liver resection in patients with Child–Pugh grade A cirrhosis. British journal of surgery. 99(12). 1701–1710. 71 indexed citations
12.
Yang, Yuan, Eric C. H. Lai, Shimin Fu, et al.. (2012). A prospective randomized controlled trial to compare two methods of selective hepatic vascular exclusion in partial hepatectomy. European Journal of Surgical Oncology. 39(2). 125–130. 8 indexed citations
13.
Yang, Yuan, Tian Yang, Shimin Fu, et al.. (2010). microRNA-22, downregulated in hepatocellular carcinoma and correlated with prognosis, suppresses cell proliferation and tumourigenicity. British Journal of Cancer. 103(8). 1215–1220. 218 indexed citations
14.
Li, Xiang‐Dong, et al.. (2008). The effect of transcatheter arterial chemoembolization on CYP1A2 activity in patients with hepatocellular carcinoma. Journal of Clinical Pharmacy and Therapeutics. 33(5). 489–493. 4 indexed citations
15.
Qu, Zhongquan, et al.. (2007). Impaired clearance of phenacetin in hepatic cirrhosis and fibrosis. International Journal of Clinical Pharmacology and Therapeutics. 45(1). 55–62. 10 indexed citations
16.
Zhou, Weiping, Ze‐Ya Pan, Shimin Fu, et al.. (2007). Selective hepatic vascular exclusion and Pringle maneuver: A comparative study in liver resection. European Journal of Surgical Oncology. 34(1). 49–54. 34 indexed citations
17.
Cheng, Qiang, et al.. (2006). Predictive factors for prognosis of hilar cholangiocarcinoma: Postresection radiotherapy improves survival. European Journal of Surgical Oncology. 33(2). 202–207. 67 indexed citations
18.
Wu, M., et al.. (1999). [Significance of TNM clasification in prognostic evaluation of hepatocelluar carcinoma following surgical resection].. PubMed. 21(4). 293–5. 4 indexed citations
19.
Cong, Wen‐Ming, et al.. (1997). Primary liver tumors in China. Oncology Reports. 4(3). 649–52. 3 indexed citations
20.
Liu, Geng, Xiaochen Wang, Dadi Jin, et al.. (1994). Potential use of soluble CD44 in serum as indicator of tumor burden and metastasis in patients with gastric or colon cancer.. PubMed. 54(2). 422–6. 150 indexed citations

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.

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