Baohua Yu

82 total papers · 967 total citations
57 papers, 682 citations indexed

About

Baohua Yu is a scholar working on Pathology and Forensic Medicine, Oncology and Cancer Research. According to data from OpenAlex, Baohua Yu has authored 57 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pathology and Forensic Medicine, 27 papers in Oncology and 22 papers in Cancer Research. Recurrent topics in Baohua Yu's work include Breast Cancer Treatment Studies (16 papers), Lymphoma Diagnosis and Treatment (15 papers) and Breast Lesions and Carcinomas (11 papers). Baohua Yu is often cited by papers focused on Breast Cancer Treatment Studies (16 papers), Lymphoma Diagnosis and Treatment (15 papers) and Breast Lesions and Carcinomas (11 papers). Baohua Yu collaborates with scholars based in China and United States. Baohua Yu's co-authors include Wentao Yang, Rui Bi, Ruohong Shui, Xiaoyan Zhou, Fei Yang, Xiaoli Xu, Xiaoyu Tu, J Y Li, Yufan Cheng and Hongfen Lu and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and PLoS ONE.

In The Last Decade

Baohua Yu

56 papers receiving 671 citations

Author Peers

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

Author Last Decade Papers Cites
Baohua Yu 278 240 231 208 116 57 682
Joshua Li 272 1.0× 168 0.7× 167 0.7× 220 1.1× 161 1.4× 94 745
Rouzan G. Karabakhtsian 180 0.6× 221 0.9× 181 0.8× 138 0.7× 117 1.0× 34 597
Cynthia Aparecida Bueno de Toledo Osório 259 0.9× 145 0.6× 311 1.3× 204 1.0× 109 0.9× 49 779
Silvia Varricchio 203 0.7× 170 0.7× 87 0.4× 213 1.0× 59 0.5× 60 673
Andrew P. Sciallis 252 0.9× 117 0.5× 171 0.7× 224 1.1× 161 1.4× 39 764
Marise Amaral Rebouças Moreira 211 0.8× 113 0.5× 246 1.1× 271 1.3× 98 0.8× 50 695
Yoshiaki Sagara 353 1.3× 97 0.4× 220 1.0× 121 0.6× 119 1.0× 31 634
Mariana Petaccia de Macêdo 392 1.4× 114 0.5× 120 0.5× 134 0.6× 116 1.0× 69 634
Hongjian Yang 277 1.0× 89 0.4× 228 1.0× 134 0.6× 89 0.8× 58 627
Myriam Kossaï 272 1.0× 149 0.6× 255 1.1× 276 1.3× 172 1.5× 36 758

Countries citing papers authored by Baohua Yu

Since Specialization
Citations

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

Fields of papers citing papers by Baohua Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baohua Yu

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