Haoxuan Wu

53 total papers · 711 total citations
29 papers, 433 citations indexed

About

Haoxuan Wu is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Haoxuan Wu has authored 29 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 9 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Haoxuan Wu's work include Lung Cancer Diagnosis and Treatment (6 papers), Lung Cancer Treatments and Mutations (4 papers) and Cellular Mechanics and Interactions (3 papers). Haoxuan Wu is often cited by papers focused on Lung Cancer Diagnosis and Treatment (6 papers), Lung Cancer Treatments and Mutations (4 papers) and Cellular Mechanics and Interactions (3 papers). Haoxuan Wu collaborates with scholars based in China, Macao and United States. Haoxuan Wu's co-authors include Ren Zhao, Xiaopin Ji, Xiaoqian Jing, Xi Cheng, Yaqi Zhang, Yonggang He, Weihua Qiu, Huo Wu, Zhenlei Wang and Xiaojian Zhang and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.

In The Last Decade

Haoxuan Wu

27 papers receiving 431 citations

Author Peers

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

Author						Papers	Cites
Haoxuan Wu	210	122	115	97	65	29	433
Wojciech Pigłowski	277 1.3×	96 0.8×	116 1.0×	67 0.7×	81 1.2×	23	458
Wei‐Hwa Lee	208 1.0×	122 1.0×	86 0.7×	85 0.9×	46 0.7×	26	461
Jingtai Zhi	227 1.1×	101 0.8×	77 0.7×	67 0.7×	65 1.0×	28	438
Jolanta Czyżewska	229 1.1×	190 1.6×	119 1.0×	80 0.8×	66 1.0×	34	484
Diana Becker	235 1.1×	129 1.1×	126 1.1×	64 0.7×	44 0.7×	22	421
Tianwei Chen	239 1.1×	86 0.7×	131 1.1×	51 0.5×	39 0.6×	25	407
Shengbin Dai	287 1.4×	95 0.8×	117 1.0×	91 0.9×	77 1.2×	28	485
Xiaodong Lv	235 1.1×	66 0.5×	125 1.1×	139 1.4×	78 1.2×	31	488
Kiyoshi Kamada	269 1.3×	84 0.7×	91 0.8×	88 0.9×	55 0.8×	26	433
Takahiko Sakaue	161 0.8×	100 0.8×	102 0.9×	93 1.0×	81 1.2×	31	374

Countries citing papers authored by Haoxuan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Haoxuan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoxuan Wu

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