Bin Shi

2.6k total citations · 1 hit paper
16 papers, 2.1k citations indexed

About

Bin Shi is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Bin Shi has authored 16 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Bin Shi's work include Gynecological conditions and treatments (3 papers), Cancer-related Molecular Pathways (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Bin Shi is often cited by papers focused on Gynecological conditions and treatments (3 papers), Cancer-related Molecular Pathways (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Bin Shi collaborates with scholars based in China, United States and United Kingdom. Bin Shi's co-authors include Birgit M. Kräling, J Folkman, Catherine Butterfield, Blair Marshall, M. OʼReilly, Yongfeng Shang, Huijian Wu, Xiaohua Wu, Wenxin Wu and Ruifang Li and has published in prestigious journals such as Molecular and Cellular Biology, Cancer Research and Scientific Reports.

In The Last Decade

Bin Shi

14 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Antiangiogenic scheduling of chemotherapy improves efficacy against experimental drug-resistant cancer.

2000 1.3k citations Catherine Butterfield, Birgit M. Kräling et al. PubMed profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bin Shi China	10	1.2k	852	606	271	219	16	2.1k
Peter Horak Germany	20	1.2k 1.1×	457 0.5×	590 1.0×	242 0.9×	235 1.1×	68	1.9k
Masashi Idogawa Japan	28	1.4k 1.2×	573 0.7×	534 0.9×	209 0.8×	141 0.6×	75	2.0k
Bisrat G. Debeb United States	28	1.3k 1.2×	1.1k 1.3×	810 1.3×	310 1.1×	186 0.8×	61	2.3k
Lalit R. Patel United States	18	941 0.8×	1.1k 1.3×	660 1.1×	430 1.6×	451 2.1×	26	2.3k
Lynn M. Gruman United States	19	1.4k 1.2×	670 0.8×	751 1.2×	182 0.7×	262 1.2×	22	2.3k
Hervé Sartelet France	23	807 0.7×	527 0.6×	377 0.6×	224 0.8×	246 1.1×	82	1.7k
Rachel Tsan United States	23	1.3k 1.2×	1.3k 1.6×	514 0.8×	663 2.4×	190 0.9×	29	2.5k
Marya F. McCarty United States	29	2.0k 1.7×	1.1k 1.3×	869 1.4×	285 1.1×	436 2.0×	37	3.0k
Takanori Goi Japan	26	1.2k 1.1×	712 0.8×	310 0.5×	207 0.8×	159 0.7×	149	2.1k
Sunila Pradeep United States	26	1.1k 1.0×	499 0.6×	622 1.0×	167 0.6×	361 1.6×	64	1.9k

Countries citing papers authored by Bin Shi

Since Specialization

Citations

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

Fields of papers citing papers by Bin Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Shi

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Huang, Yue, et al.. (2025). Co-delivery of NGF and BMP-2 via thermosensitive pluronic F127 hydrogel enhances chondrogenesis and cartilage repair. Scientific Reports. 15(1). 33354–33354.

Shi, Bin, et al.. (2024). Advances in tumor immunotherapy targeting macrophages. Expert Review of Clinical Immunology. 21(3). 259–276. 4 indexed citations

Dong, Qiangli, Yumeng Ju, Kangning Li, et al.. (2023). Altered Relationship between Functional Connectivity and Fiber-Bundle Structure in High-Functioning Male Adults with Autism Spectrum Disorder. Brain Sciences. 13(7). 1098–1098. 11 indexed citations

Wei, Shuhua, et al.. (2021). Differentiating mass-like tuberculosis from lung cancer based on radiomics and CT features. Translational Cancer Research. 10(10). 4454–4463. 12 indexed citations

Dai, Yi, Bin Shi, Xiufeng Huang, et al.. (2021). Cost-effectiveness Analysis of Dienogest Compared With Gonadotropin-Releasing Hormone Agonist After Conservative Surgery for Endometriosis in China. Clinical Therapeutics. 43(8). 1276–1284.e1. 5 indexed citations

Cao, Jia, et al.. (2020). Estrogen attenuates TGF-β1-induced EMT in intrauterine adhesion by activating Wnt/β-catenin signaling pathway. Brazilian Journal of Medical and Biological Research. 53(8). e9794–e9794. 30 indexed citations

Du, Hongyan, et al.. (2020). [Evaluation of the effectiveness of BMRT-HPV for cervical cancer screening].. PubMed. 55(10). 708–715.

Zhang, Wei, Hui Du, Xia Huang, et al.. (2020). Evaluation of an isothermal amplification HPV detection assay for primary cervical cancer screening. Infectious Agents and Cancer. 15(1). 65–65. 27 indexed citations

Yin, Chunhua, et al.. (2016). Effects of 17β-estradiol on leptin signaling in anterior pituitary of ovariectomized rats. EXPERIMENTAL ANIMALS. 66(2). 159–166. 8 indexed citations

10.

Li, Suolin, et al.. (2014). Laparoscopic Vaginoplasty Using a Sigmoid Graft Through the Umbilical Single-Incision Hybrid Transperineal Approach: Our Initial Experience. Journal of Laparoendoscopic & Advanced Surgical Techniques. 24(5). 354–358. 9 indexed citations

11.

Shi, Bin, Jing Liang, Xiaohan Yang, et al.. (2007). Integration of Estrogen and Wnt Signaling Circuits by the Polycomb Group Protein EZH2 in Breast Cancer Cells. Molecular and Cellular Biology. 27(14). 5105–5119. 275 indexed citations

12.

Wu, Xiaohua, et al.. (2006). Expression of chemokine CXCL12 and its receptor CXCR4 in human epithelial ovarian cancer: An independent prognostic factor for tumor progression. Gynecologic Oncology. 103(1). 226–233. 135 indexed citations

13.

Yin, Na, Dan Wang, Hua Zhang, et al.. (2004). Molecular Mechanisms Involved in the Growth Stimulation of Breast Cancer Cells by Leptin. Cancer Research. 64(16). 5870–5875. 160 indexed citations

14.

Shi, Bin, Bohdan Yaremko, Gerald Hajian, et al.. (2000). The farnesyl protein transferase inhibitor SCH66336 synergizes with taxanes in vitro and enhances their antitumor activity in vivo. Cancer Chemotherapy and Pharmacology. 46(5). 387–393. 87 indexed citations

15.

Butterfield, Catherine, Birgit M. Kräling, Bin Shi, et al.. (2000). Antiangiogenic scheduling of chemotherapy improves efficacy against experimental drug-resistant cancer.. PubMed. 60(7). 1878–86. 1276 indexed citations breakdown →

16.

Nielsen, Loretta L., Bin Shi, Gerald Hajian, et al.. (1999). Combination therapy with the farnesyl protein transferase inhibitor SCH66336 and SCH58500 (p53 adenovirus) in preclinical cancer models.. PubMed. 59(23). 5896–901. 26 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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