Binbin Ji

557 total citations · 1 hit paper
23 papers, 403 citations indexed

About

Binbin Ji is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Binbin Ji has authored 23 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Binbin Ji's work include Cancer-related molecular mechanisms research (4 papers), Pain Mechanisms and Treatments (3 papers) and Circular RNAs in diseases (3 papers). Binbin Ji is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Pain Mechanisms and Treatments (3 papers) and Circular RNAs in diseases (3 papers). Binbin Ji collaborates with scholars based in China, Japan and United States. Binbin Ji's co-authors include Jialiang Yang, Geng Tian, Yuebin Liang, Songlin Gao, Peng Yuan, Lei Guo, Zixuan Yang, Yuan Xu, Yuhua Yao and Bo Liao and has published in prestigious journals such as Pain, International Journal of Molecular Sciences and IEEE Access.

In The Last Decade

Binbin Ji

21 papers receiving 396 citations

Hit Papers

Prediction of HER2-positive breast cancer recurrence and ... 2021 2026 2022 2024 2021 50 100 150
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.

  1. Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning
    2021 158 citations Jialiang Yang, Lei Guo et al. Computational and Structural Biotechnology Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Binbin Ji China 11 151 123 93 87 78 23 403
Sara Monteiro‐Reis Portugal 15 307 2.0× 111 0.9× 53 0.6× 61 0.7× 79 1.0× 32 601
Eun Kyung Park South Korea 14 121 0.8× 73 0.6× 242 2.6× 113 1.3× 93 1.2× 30 530
Qiong Song China 13 217 1.4× 111 0.9× 98 1.1× 61 0.7× 66 0.8× 40 492
Adriana Vial Roehe Brazil 13 220 1.5× 71 0.6× 73 0.8× 81 0.9× 160 2.1× 31 537
Linyan Wang China 16 271 1.8× 60 0.5× 57 0.6× 58 0.7× 133 1.7× 47 672
Ge Zhang China 13 321 2.1× 92 0.7× 31 0.3× 50 0.6× 95 1.2× 26 559
Wu Xin China 10 136 0.9× 80 0.7× 67 0.7× 38 0.4× 53 0.7× 30 402
Siteng Chen China 13 161 1.1× 91 0.7× 111 1.2× 51 0.6× 101 1.3× 41 484
Tamás Micsík Hungary 14 236 1.6× 139 1.1× 43 0.5× 39 0.4× 90 1.2× 50 625

Countries citing papers authored by Binbin Ji

Since Specialization
Citations

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

Fields of papers citing papers by Binbin Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binbin Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Binbin Ji. A scholar is included among the top collaborators of Binbin Ji 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 Binbin Ji. Binbin Ji 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.
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Zhao, Jie, Chen Yao, Hui Guo, et al.. (2024). Blockade of C5aR1 resets M1 via gut microbiota-mediated PFKM stabilization in a TLR5-dependent manner. Cell Death and Disease. 15(2). 120–120. 5 indexed citations
3.
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Lang, Jidong, Yanju Li, Wenjuan Yang, et al.. (2022). Genomic and resistome analysis of Alcaligenes faecalis strain PGB1 by Nanopore MinION and Illumina Technologies. BMC Genomics. 23(S1). 316–316. 11 indexed citations
5.
Li, Xiaoling, et al.. (2022). Identifying potential microRNA biomarkers for colon cancer and colorectal cancer through bound nuclear norm regularization. Frontiers in Genetics. 13. 980437–980437. 2 indexed citations
6.
Guo, Zhen, et al.. (2022). A Computational Framework to Identify Biomarkers for Glioma Recurrence and Potential Drugs Targeting Them. Frontiers in Genetics. 12. 832627–832627. 3 indexed citations
7.
Yao, Yuhua, Ling Tong, Yuebin Liang, et al.. (2022). ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data. Briefings in Bioinformatics. 23(6). 39 indexed citations
8.
Yao, Yuhua, et al.. (2021). Predicting LncRNA–Disease Association by a Random Walk With Restart on Multiplex and Heterogeneous Networks. Frontiers in Genetics. 12. 712170–712170. 6 indexed citations
9.
Yang, Jialiang, Lei Guo, Binbin Ji, et al.. (2021). Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning. Computational and Structural Biotechnology Journal. 20. 333–342. 158 indexed citations breakdown →
10.
Yang, Jialiang, Minghui Zhang, Binbin Ji, et al.. (2021). Application of Circulating Tumor DNA as a Biomarker for Non-Small Cell Lung Cancer. Frontiers in Oncology. 11. 725938–725938. 26 indexed citations
11.
Chen, Yu, et al.. (2021). Finding Colon Cancer- and Colorectal Cancer-Related Microbes Based on Microbe–Disease Association Prediction. Frontiers in Microbiology. 12. 650056–650056. 1 indexed citations
12.
Xiang, Chenxi, Binbin Ji, Bo Wang, et al.. (2021). Agent Repurposing for the Treatment of Advanced Stage Diffuse Large B-Cell Lymphoma Based on Gene Expression and Network Perturbation Analysis. Frontiers in Genetics. 12. 756784–756784. 2 indexed citations
13.
Shi, Yiyi, Qinxue Dai, Binbin Ji, et al.. (2021). Electroacupuncture Pretreatment Prevents Cognitive Impairment Induced by Cerebral Ischemia–Reperfusion via Adenosine A1 Receptors in Rats. Frontiers in Aging Neuroscience. 13. 680706–680706. 17 indexed citations
14.
Yao, Yuhua, et al.. (2020). IMDAILM: Inferring miRNA-Disease Association by Integrating lncRNA and miRNA Data. IEEE Access. 8. 16517–16527. 11 indexed citations
15.
Yao, Yuhua, Ling Li, Huimin Xu, et al.. (2019). Protein sequence information extraction and subcellular localization prediction with gapped k-Mer method. BMC Bioinformatics. 20(S22). 719–719. 11 indexed citations
16.
Long, Haixia, Binbin Ji, Zejun Li, et al.. (2019). Molecular Network-Based Drug Prediction in Thyroid Cancer. International Journal of Molecular Sciences. 20(2). 263–263. 13 indexed citations
17.
Zhu, Wen, Bo Liao, Junlin Xu, et al.. (2018). BPLLDA: Predicting lncRNA-Disease Associations Based on Simple Paths With Limited Lengths in a Heterogeneous Network. Frontiers in Genetics. 9. 411–411. 40 indexed citations
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Ji, Binbin, et al.. (2016). Carnosic acid attenuates neuropathic pain in rat through the activation of spinal sirtuin1 and down-regulation of p66shc expression. Neurochemistry International. 93. 95–102. 15 indexed citations
20.
Wen, Bianying & Binbin Ji. (2011). Crystallization behaviors and mechanical performance of polypropylene/tetrapod‐shaped zinc oxide whisker composites. Journal of Applied Polymer Science. 124(1). 138–144. 9 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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