Feixiang Wu

102 total papers · 1.4k total citations
51 papers, 701 citations indexed

About

Feixiang Wu is a scholar working on Hepatology, Molecular Biology and Surgery. According to data from OpenAlex, Feixiang Wu has authored 51 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hepatology, 13 papers in Molecular Biology and 10 papers in Surgery. Recurrent topics in Feixiang Wu's work include Hepatocellular Carcinoma Treatment and Prognosis (19 papers), Liver Disease and Transplantation (7 papers) and Paleontology and Evolutionary Biology (6 papers). Feixiang Wu is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (19 papers), Liver Disease and Transplantation (7 papers) and Paleontology and Evolutionary Biology (6 papers). Feixiang Wu collaborates with scholars based in China, Italy and Hong Kong. Feixiang Wu's co-authors include Guanghui Xu, Shasha Wu, Zheng Jiang, Yuanlin Sun, Tao Bai, Jiazhou Ye, Jie Chen, Zuo-Yu Sun, D. Jiang and Le‐Qun Li and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Journal of Affective Disorders.

In The Last Decade

Feixiang Wu

45 papers receiving 685 citations

Author Peers

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

Author Last Decade Papers Cites
Feixiang Wu 196 180 174 144 142 51 701
Jihua Wu 162 0.8× 8 0.0× 18 0.1× 125 0.9× 37 0.3× 43 649
Tobias Daniel Trippel 124 0.6× 77 0.4× 3 0.0× 53 0.4× 32 0.2× 53 800
T Sonoda 279 1.4× 36 0.2× 5 0.0× 27 0.2× 8 0.1× 82 808
Xiaofei Qiu 209 1.1× 64 0.4× 9 0.1× 54 0.4× 153 1.1× 53 889
Giorgio Gherardi 196 1.0× 15 0.1× 3 0.0× 69 0.5× 86 0.6× 43 802
Hiroshi Kawanishi 203 1.0× 12 0.1× 10 0.1× 107 0.7× 81 0.6× 41 898
M. Melato 200 1.0× 8 0.0× 39 0.2× 96 0.7× 26 0.2× 72 640
Azucena Castro 357 1.8× 6 0.0× 71 0.4× 168 1.2× 107 0.8× 34 620
Hicham Mansour 337 1.7× 2 0.0× 10 0.1× 71 0.5× 151 1.1× 41 780
Yen‐Ting Lin 151 0.8× 2 0.0× 16 0.1× 71 0.5× 109 0.8× 58 623

Countries citing papers authored by Feixiang Wu

Since Specialization
Citations

This map shows the geographic impact of Feixiang 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 Feixiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feixiang Wu more than expected).

Fields of papers citing papers by Feixiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feixiang 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 Feixiang Wu. The network helps show where Feixiang Wu may publish in the future.

Co-authorship network of co-authors of Feixiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Feixiang Wu. A scholar is included among the top collaborators of Feixiang 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 Feixiang Wu. Feixiang 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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