M. Wu

39 total papers · 1.1k total citations
23 papers, 870 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 23 papers receiving a total of 870 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, Xiaochen Wang, Man‐Sun Sy, Dadi Jin, Jun Ma and Geng Liu 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 859 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. Wu 379 296 281 220 183 23 870
Motoaki Kin 397 1.0× 459 1.6× 230 0.8× 158 0.7× 125 0.7× 22 908
Kathryn Effendi 359 0.9× 254 0.9× 195 0.7× 76 0.3× 231 1.3× 23 757
Hirofumi Tsushima 380 1.0× 274 0.9× 132 0.5× 110 0.5× 200 1.1× 28 753
Zhiying Lin 296 0.8× 591 2.0× 248 0.9× 216 1.0× 214 1.2× 29 1.0k
Sandro Nuciforo 384 1.0× 315 1.1× 232 0.8× 207 0.9× 362 2.0× 17 1.0k
Hien Dang 477 1.3× 372 1.3× 267 1.0× 105 0.5× 373 2.0× 24 1.0k
Carl Bart Rountree 568 1.5× 289 1.0× 197 0.7× 188 0.9× 358 2.0× 20 1.0k
Annabelle Vogt 220 0.6× 229 0.8× 125 0.4× 120 0.5× 247 1.3× 25 734
Qiong Xue 451 1.2× 206 0.7× 310 1.1× 48 0.2× 258 1.4× 22 873
Mikio Monji 392 1.0× 200 0.7× 99 0.4× 86 0.4× 218 1.2× 21 762

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

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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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