Huimin Bai

68 total papers · 1.3k total citations
49 papers, 896 citations indexed

About

Huimin Bai is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Molecular Biology. According to data from OpenAlex, Huimin Bai has authored 49 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Reproductive Medicine, 17 papers in Obstetrics and Gynecology and 15 papers in Molecular Biology. Recurrent topics in Huimin Bai's work include Ovarian cancer diagnosis and treatment (19 papers), Endometrial and Cervical Cancer Treatments (17 papers) and Cervical Cancer and HPV Research (7 papers). Huimin Bai is often cited by papers focused on Ovarian cancer diagnosis and treatment (19 papers), Endometrial and Cervical Cancer Treatments (17 papers) and Cervical Cancer and HPV Research (7 papers). Huimin Bai collaborates with scholars based in China, United Kingdom and Finland. Huimin Bai's co-authors include Zhenyu Zhang, Xuan Jiang, Weihua Li, Keng Shen, M Kellis, Jiaxin Yang, Dongyan Cao, Jie Chen, Zhenyu Zhang and Ting Gui and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Journal of Physical Chemistry C.

In The Last Decade

Huimin Bai

48 papers receiving 884 citations

Author Peers

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

Author Last Decade Papers Cites
Huimin Bai 337 322 269 258 119 49 896
Fumio Kataoka 308 0.9× 265 0.8× 250 0.9× 244 0.9× 212 1.8× 54 804
Yasuhisa Terao 218 0.6× 405 1.3× 217 0.8× 315 1.2× 138 1.2× 73 940
Yoshimichi Tanaka 278 0.8× 350 1.1× 197 0.7× 268 1.0× 194 1.6× 43 845
Ritsuto Fujiwaki 195 0.6× 355 1.1× 204 0.8× 215 0.8× 206 1.7× 55 831
Tomohito Tanaka 335 1.0× 345 1.1× 330 1.2× 289 1.1× 207 1.7× 80 1.0k
Yasunari Mizumoto 193 0.6× 340 1.1× 196 0.7× 297 1.2× 164 1.4× 50 829
Satoshi Tsunetoh 233 0.7× 281 0.9× 187 0.7× 242 0.9× 159 1.3× 32 711
Masanori Kanemura 269 0.8× 416 1.3× 171 0.6× 310 1.2× 193 1.6× 37 919
Qian Zhang 170 0.5× 294 0.9× 282 1.0× 230 0.9× 144 1.2× 28 764
Teresa Rutledge 308 0.9× 248 0.8× 315 1.2× 274 1.1× 85 0.7× 38 917

Countries citing papers authored by Huimin Bai

Since Specialization
Citations

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

Fields of papers citing papers by Huimin Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huimin Bai

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