Huailiang Wu

53 total papers · 1.1k total citations
30 papers, 653 citations indexed

About

Huailiang Wu is a scholar working on Oncology, Obstetrics and Gynecology and Epidemiology. According to data from OpenAlex, Huailiang Wu has authored 30 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Obstetrics and Gynecology and 5 papers in Epidemiology. Recurrent topics in Huailiang Wu's work include Maternal Mental Health During Pregnancy and Postpartum (4 papers), Smoking Behavior and Cessation (3 papers) and Air Quality and Health Impacts (3 papers). Huailiang Wu is often cited by papers focused on Maternal Mental Health During Pregnancy and Postpartum (4 papers), Smoking Behavior and Cessation (3 papers) and Air Quality and Health Impacts (3 papers). Huailiang Wu collaborates with scholars based in China, United States and Hong Kong. Huailiang Wu's co-authors include Wai‐Kit Ming, Yue Gong, Peng Ji, Yunlin Wu, Chenyi Li, Yining Zhang, Rui Li, Qian Tao, Ying Wang and Lijun Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Science Advances.

In The Last Decade

Huailiang Wu

26 papers receiving 639 citations

Hit Papers

Targeting nucleotide meta... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Huailiang Wu 119 117 104 84 77 30 653
Qi Cui 91 0.8× 101 0.9× 170 1.6× 85 1.0× 21 0.3× 36 761
Shaodi Ma 67 0.6× 172 1.5× 95 0.9× 58 0.7× 21 0.3× 44 657
Huiyun Yang 117 1.0× 125 1.1× 45 0.4× 49 0.6× 24 0.3× 38 659
Huimei Zhang 83 0.7× 142 1.2× 48 0.5× 35 0.4× 43 0.6× 43 632
Sangmi Kim 100 0.8× 60 0.5× 159 1.5× 193 2.3× 53 0.7× 66 792
Qun Yuan 104 0.9× 41 0.4× 40 0.4× 69 0.8× 122 1.6× 29 575
Linnea Widman 62 0.5× 74 0.6× 74 0.7× 35 0.4× 54 0.7× 44 744
Maryam Nikpour 137 1.2× 48 0.4× 154 1.5× 43 0.5× 113 1.5× 67 736
Uma Singh 55 0.5× 126 1.1× 119 1.1× 46 0.5× 80 1.0× 50 563
Juan Sun 170 1.4× 56 0.5× 118 1.1× 78 0.9× 16 0.2× 68 718

Countries citing papers authored by Huailiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Huailiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huailiang Wu

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