Renju Bai

25 total papers · 584 total citations
22 papers, 470 citations indexed

About

Renju Bai is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Renju Bai has authored 22 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Renju Bai's work include MRI in cancer diagnosis (8 papers), Adrenal and Paraganglionic Tumors (7 papers) and Endometrial and Cervical Cancer Treatments (6 papers). Renju Bai is often cited by papers focused on MRI in cancer diagnosis (8 papers), Adrenal and Paraganglionic Tumors (7 papers) and Endometrial and Cervical Cancer Treatments (6 papers). Renju Bai collaborates with scholars based in China and United States. Renju Bai's co-authors include Haoran Sun, Zhaoxiang Ye, Ying Liu, Haidong Liu, Dehua Wang, Ying Liu, Yajun Li, Shuo Gao, Yajun Li and Dehua Wang and has published in prestigious journals such as PLoS ONE, Gynecologic Oncology and European Radiology.

In The Last Decade

Renju Bai

22 papers receiving 465 citations

Author Peers

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

Author Last Decade Papers Cites
Renju Bai 285 235 111 99 45 22 470
C M Dudiak 96 0.3× 135 0.6× 105 0.9× 191 1.9× 78 1.7× 20 452
Mariana Horta 132 0.5× 351 1.5× 315 2.8× 94 0.9× 58 1.3× 27 544
Mei Yu 136 0.5× 279 1.2× 116 1.0× 119 1.2× 59 1.3× 17 536
G. M. Kacl 177 0.6× 51 0.2× 69 0.6× 144 1.5× 95 2.1× 23 505
Georg Stuecklschweiger 158 0.6× 219 0.9× 61 0.5× 163 1.6× 187 4.2× 15 507
Ken Yoshida 105 0.4× 201 0.9× 69 0.6× 179 1.8× 201 4.5× 31 517
Yuko Suenaga 251 0.9× 244 1.0× 111 1.0× 91 0.9× 94 2.1× 22 546
William Erdman 117 0.4× 107 0.5× 38 0.3× 154 1.6× 132 2.9× 23 510
H. Katabuchi 40 0.1× 284 1.2× 300 2.7× 115 1.2× 42 0.9× 30 535
Hiromi Okizuka 140 0.5× 156 0.7× 162 1.5× 179 1.8× 139 3.1× 30 525

Countries citing papers authored by Renju Bai

Since Specialization
Citations

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

Fields of papers citing papers by Renju Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renju Bai

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