Fengliang Wu

42 total papers · 769 total citations
33 papers, 555 citations indexed

About

Fengliang Wu is a scholar working on Surgery, Rheumatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fengliang Wu has authored 33 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Surgery, 15 papers in Rheumatology and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fengliang Wu's work include Management of metastatic bone disease (16 papers), Bone Tumor Diagnosis and Treatments (14 papers) and Spinal Fractures and Fixation Techniques (13 papers). Fengliang Wu is often cited by papers focused on Management of metastatic bone disease (16 papers), Bone Tumor Diagnosis and Treatments (14 papers) and Spinal Fractures and Fixation Techniques (13 papers). Fengliang Wu collaborates with scholars based in China, Switzerland and United States. Fengliang Wu's co-authors include Feng Wei, Miao Yu, Zhongjun Liu, Liang Jiang, Xiaoguang Liu, Nanfang Xu, Zihe Li, Hong Cai, Lei Dang and Hua Zhou and has published in prestigious journals such as PLoS ONE, Scientific Reports and Spine.

In The Last Decade

Fengliang Wu

31 papers receiving 543 citations

Author Peers

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

Author						Papers	Cites
Fengliang Wu	375	203	197	127	119	33	555
Haijie Liang	395 1.1×	57 0.3×	142 0.7×	149 1.2×	285 2.4×	30	616
Takashi Nakamura	361 1.0×	85 0.4×	156 0.8×	46 0.4×	64 0.5×	36	525
Martijn van Dijk	441 1.2×	301 1.5×	195 1.0×	132 1.0×	111 0.9×	15	634
Lei Dang	346 0.9×	227 1.1×	57 0.3×	163 1.3×	132 1.1×	36	506
June Hyuk Kim	381 1.0×	53 0.3×	126 0.6×	104 0.8×	247 2.1×	48	677
René Aquarius	239 0.6×	104 0.5×	125 0.6×	23 0.2×	98 0.8×	44	551
Wenhao Hu	278 0.7×	152 0.7×	163 0.8×	69 0.5×	25 0.2×	40	539
Junichi Kushioka	207 0.6×	120 0.6×	201 1.0×	89 0.7×	15 0.1×	35	674
Yen‐Jen Chen	318 0.8×	185 0.9×	107 0.5×	60 0.5×	18 0.2×	31	640
Nuno Nevès	318 0.8×	130 0.6×	199 1.0×	46 0.4×	42 0.4×	55	635

Countries citing papers authored by Fengliang Wu

Since Specialization

Citations

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

Fields of papers citing papers by Fengliang Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengliang Wu

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