Honghai Wu

112 total papers · 1.9k total citations
64 papers, 1.5k citations indexed

About

Honghai Wu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Honghai Wu has authored 64 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Immunology and 11 papers in Oncology. Recurrent topics in Honghai Wu's work include Neuroscience and Neuropharmacology Research (8 papers), Immune cells in cancer (6 papers) and Anesthesia and Neurotoxicity Research (5 papers). Honghai Wu is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Immune cells in cancer (6 papers) and Anesthesia and Neurotoxicity Research (5 papers). Honghai Wu collaborates with scholars based in China, Czechia and Japan. Honghai Wu's co-authors include Qiaojun He, Bo Yang, Ling Ding, Guikai Liang, Hou Yan-ning, Zhangting Yao, Xi Chen, Jian-Xin Gan, Shao-wen Xu and Guanyu Jiang and has published in prestigious journals such as Journal of Clinical Investigation, Scientific Reports and Brain Research.

In The Last Decade

Honghai Wu

63 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Honghai Wu 696 340 299 189 129 64 1.5k
Alessandra Carcereri de Prati 720 1.0× 266 0.8× 391 1.3× 267 1.4× 62 0.5× 42 1.9k
Channy Park 917 1.3× 199 0.6× 217 0.7× 224 1.2× 97 0.8× 57 2.1k
Phanithi Prakash Babu 1.1k 1.5× 190 0.6× 304 1.0× 252 1.3× 77 0.6× 72 2.0k
Hiroshi Saito 476 0.7× 262 0.8× 333 1.1× 87 0.5× 103 0.8× 61 1.6k
Hong Xin 817 1.2× 209 0.6× 202 0.7× 205 1.1× 122 0.9× 54 1.6k
Yih‐Fung Chen 1.0k 1.5× 229 0.7× 258 0.9× 188 1.0× 171 1.3× 50 1.8k
Zhou‐Yan Bian 1.1k 1.6× 269 0.8× 258 0.9× 257 1.4× 120 0.9× 63 2.2k
Yang Yao 615 0.9× 224 0.7× 295 1.0× 151 0.8× 271 2.1× 66 2.1k
Yanan Chen 621 0.9× 236 0.7× 387 1.3× 196 1.0× 128 1.0× 94 1.6k
Chao Liu 941 1.4× 263 0.8× 218 0.7× 218 1.2× 121 0.9× 95 2.2k

Countries citing papers authored by Honghai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Honghai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honghai Wu

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