Rui Bi

5.4k total citations
184 papers, 3.6k citations indexed

About

Rui Bi is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Rui Bi has authored 184 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 48 papers in Cancer Research and 37 papers in Oncology. Recurrent topics in Rui Bi's work include Ovarian cancer diagnosis and treatment (30 papers), Breast Cancer Treatment Studies (18 papers) and Mitochondrial Function and Pathology (16 papers). Rui Bi is often cited by papers focused on Ovarian cancer diagnosis and treatment (30 papers), Breast Cancer Treatment Studies (18 papers) and Mitochondrial Function and Pathology (16 papers). Rui Bi collaborates with scholars based in China, Hong Kong and United States. Rui Bi's co-authors include Yong‐Gang Yao, Wentao Yang, Dengfeng Zhang, Min Xu, Baohua Yu, Hao Wen, Xiaohua Wu, Zheng Feng, Qingli Shang and Lianyong Jiang and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Rui Bi

176 papers receiving 3.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rui Bi China 34 1.6k 712 646 392 386 184 3.6k
Rémi Houlgatte France 31 1.3k 0.8× 492 0.7× 386 0.6× 130 0.3× 135 0.3× 89 3.0k
Peter Fisher United States 35 3.1k 1.9× 638 0.9× 384 0.6× 253 0.6× 305 0.8× 61 5.3k
Matthew D. Rand United States 26 4.9k 3.1× 653 0.9× 624 1.0× 324 0.8× 275 0.7× 63 7.6k
Kenji Miyado Japan 33 2.4k 1.5× 353 0.5× 562 0.9× 225 0.6× 103 0.3× 117 4.9k
Makoto Hiroi Japan 27 685 0.4× 431 0.6× 208 0.3× 103 0.3× 572 1.5× 145 2.9k
Jonathan M. Graff United States 44 4.6k 2.9× 564 0.8× 417 0.6× 1.8k 4.6× 207 0.5× 63 7.4k
Naoki Takeda Japan 38 4.8k 3.0× 716 1.0× 656 1.0× 273 0.7× 305 0.8× 97 7.4k
Zhiyong Mao China 29 3.1k 1.9× 978 1.4× 550 0.9× 660 1.7× 184 0.5× 69 4.7k
Elke Winterhager Germany 43 4.3k 2.7× 300 0.4× 225 0.3× 309 0.8× 202 0.5× 136 6.4k
Jing Huang United States 42 4.8k 3.0× 1.7k 2.4× 1.1k 1.7× 175 0.4× 529 1.4× 135 7.2k

Countries citing papers authored by Rui Bi

Since Specialization
Citations

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

Fields of papers citing papers by Rui Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Bi. A scholar is included among the top collaborators of Rui Bi 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 Rui Bi. Rui Bi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Qingtao, Mingming Jin, Lei Wang, et al.. (2024). circFTO from M2 macrophage-derived small extracellular vesicles (sEV) enhances NSCLC malignancy by regulation miR-148a-3pPDK4 axis. Cancer Immunology Immunotherapy. 73(5). 91–91. 5 indexed citations
2.
Chen, Siyu, Zhihui Xiu, Xingzhu Ju, et al.. (2024). Germline Mutational Landscape and Novel Targetable RAD51D Variant in Chinese Patients With Ovarian Cancer. JCO Global Oncology. 10(10). e2300454–e2300454. 1 indexed citations
3.
Bi, Rui, et al.. (2024). Butyrate attenuates the stemness of lung cancer cells through lysosome Fe2+- and SLC7A11-mediated ferroptosis. Heliyon. 10(7). e28093–e28093. 4 indexed citations
4.
Bai, Qianming, Ming Li, Shuling Zhou, et al.. (2024). Response to anti-HER2 neoadjuvant chemotherapy in HER2-positive invasive breast cancers with different HER2 FISH patterns. Journal of Clinical Pathology. 78(8). 540–547. 3 indexed citations
5.
Yang, Qi, Qingtao Liu, Xiao Xie, et al.. (2023). Depleting DDX1 sensitizes non-small cell lung cancer cells to chemotherapy by attenuating cancer stem cell traits. Life Sciences. 323. 121592–121592. 5 indexed citations
6.
Guo, Qinhao, Linhao Qu, Jun Zhu, et al.. (2023). Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images. Modern Pathology. 36(12). 100316–100316. 9 indexed citations
7.
Li, Yu, Min Xu, Xiao Li, et al.. (2023). Functional genomics identify causal variant underlying the protective CTSH locus for Alzheimer’s disease. Neuropsychopharmacology. 48(11). 1555–1566. 12 indexed citations
8.
Li, Yimin, Dan Huang, Rui Bi, et al.. (2022). Uterine tumours with myogenic differentiation harbouring SRF::RELA fusions. Histopathology. 81(4). 477–485. 3 indexed citations
9.
Zhang, Dengfeng, Huilong Li, Rui Bi, et al.. (2021). Mapping leprosy‐associated coding variants of interleukin genes by targeted sequencing. Clinical Genetics. 99(6). 802–811. 2 indexed citations
10.
Xu, Xiaoli, Rui Bi, Ruohong Shui, et al.. (2021). Clinicopathological significance of WT1 expression in invasive breast carcinoma with >90% mucinous component. Journal of Clinical Pathology. 75(12). 832–836. 2 indexed citations
11.
Pareja, Fresia, David N. Brown, Ju Youn Lee, et al.. (2020). Whole-Exome Sequencing Analysis of the Progression from Non–Low-Grade Ductal Carcinoma In Situ to Invasive Ductal Carcinoma. Clinical Cancer Research. 26(14). 3682–3693. 40 indexed citations
12.
Ge, Huijuan, Rui Bi, Yu Cheng, et al.. (2018). [Clinicopathologic analysis of primary carcinoid of the ovary].. PubMed. 47(7). 517–521. 5 indexed citations
13.
Jia, Yijun, Weige Wang, Rui Bi, et al.. (2018). Integrative analysis of PD‐L1 DNA status, mRNA status and protein status, and their clinicopathological correlation, in diffuse large B‐cell lymphoma. Histopathology. 74(4). 618–628. 15 indexed citations
14.
Xu, Xiaoli, Rui Bi, Ruohong Shui, et al.. (2018). Micropapillary pattern in pure mucinous carcinoma of the breast – does it matter or not?. Histopathology. 74(2). 248–255. 15 indexed citations
15.
Gao, Yu, et al.. (2018). Analysis of supercooling point and low-molecular weight compounds in overwintering soybean pod borer Leguminivora glycinivorella larvae.. Journal of Plant Protection. 45(4). 697–704. 1 indexed citations
16.
Xu, Yan, Rui Bi, Xiaoyu Tu, et al.. (2017). Low frequency of BRAF and KRAS mutations in Chinese patients with low-grade serous carcinoma of the ovary. Diagnostic Pathology. 12(1). 87–87. 9 indexed citations
17.
Cheng, Xinqi, et al.. (2017). [Clinical significance of targeting drug-based molecular biomarkers expression in ovarian clear cell carcinoma].. PubMed. 52(12). 835–843. 5 indexed citations
18.
Liu, Zebing, Ping Wei, Yu Yang, et al.. (2015). BATF2 Deficiency Promotes Progression in Human Colorectal Cancer via Activation of HGF/MET Signaling: A Potential Rationale for Combining MET Inhibitors with IFNs. Clinical Cancer Research. 21(7). 1752–1763. 31 indexed citations
19.
20.
Bi, Rui. (2000). The Study on Xylanase fermentation by Aspergillus niger sp.. 3 indexed citations

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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