Bei Wu

810 total papers · 10.9k total citations
459 papers, 7.1k citations indexed

About

Bei Wu is a scholar working on Health, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Bei Wu has authored 459 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Health, 142 papers in General Health Professions and 114 papers in Sociology and Political Science. Recurrent topics in Bei Wu's work include Health disparities and outcomes (144 papers), Dental Health and Care Utilization (93 papers) and Dementia and Cognitive Impairment Research (87 papers). Bei Wu is often cited by papers focused on Health disparities and outcomes (144 papers), Dental Health and Care Utilization (93 papers) and Dementia and Cognitive Impairment Research (87 papers). Bei Wu collaborates with scholars based in United States, China and United Kingdom. Bei Wu's co-authors include Brenda L. Plassman, Hanzhang Xu, Jersey Liang, Xiang Qi, Zheng Zhu, Yaolin Pei, Kyung Hee Lee, Huabin Luo, Eleanor S. McConnell and Wei Zhang and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Bei Wu

407 papers receiving 6.9k citations

Hit Papers

Social isolation and lone... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Bei Wu 2.0k 2.0k 1.5k 1.3k 1.3k 459 7.1k
Jersey Liang 2.2k 1.1× 3.5k 1.8× 423 0.3× 1.6k 1.2× 712 0.5× 193 7.2k
Maria Fernanda Lima‐Costa 3.5k 1.7× 1.9k 1.0× 387 0.3× 974 0.7× 645 0.5× 392 9.1k
Yoshinori Fujiwara 1.4k 0.7× 1.7k 0.9× 372 0.2× 457 0.3× 1.4k 1.1× 351 7.3k
Tarani Chandola 5.4k 2.6× 2.5k 1.3× 461 0.3× 1.4k 1.0× 490 0.4× 161 10.9k
André Hajek 1.8k 0.9× 1.9k 0.9× 198 0.1× 948 0.7× 524 0.4× 419 5.0k
Naoki Kondo 2.8k 1.4× 3.0k 1.5× 237 0.2× 857 0.6× 345 0.3× 287 6.7k
Ingalill Rahm Hallberg 4.1k 2.0× 1.3k 0.6× 175 0.1× 1.3k 1.0× 1.7k 1.3× 224 9.1k
Antti Uutela 2.5k 1.2× 1.5k 0.7× 368 0.2× 603 0.4× 429 0.3× 162 7.1k
Jos M. G. A. Schols 3.1k 1.5× 530 0.3× 975 0.6× 496 0.4× 1.6k 1.2× 462 13.6k
Sandhi Maria Barreto 2.8k 1.4× 1.2k 0.6× 326 0.2× 641 0.5× 476 0.4× 437 10.6k

Countries citing papers authored by Bei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Wu

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