Bingrui Li

1.2k total citations · 1 hit paper
28 papers, 661 citations indexed

About

Bingrui Li is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Bingrui Li has authored 28 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Bingrui Li's work include Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (4 papers). Bingrui Li is often cited by papers focused on Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (4 papers). Bingrui Li collaborates with scholars based in China, United States and Germany. Bingrui Li's co-authors include Raghu Kalluri, Hikaru Sugimoto, Kathleen M. McAndrews, Valerie S. LeBleu, Sujuan Yang, Michelle L. Kirtley, Yang Chen, Xiaofeng Zheng, Huamin Wang and Chia-Chin Wu and has published in prestigious journals such as Science, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Bingrui Li

20 papers receiving 655 citations

Hit Papers

Identification of Functio... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bingrui Li China 12 322 252 220 131 79 28 661
Dongmei Fan China 16 321 1.0× 361 1.4× 66 0.3× 177 1.4× 58 0.7× 54 751
Hugo R. Caires Portugal 13 553 1.7× 203 0.8× 307 1.4× 136 1.0× 123 1.6× 18 897
Kyle A. DiVito United States 16 508 1.6× 273 1.1× 119 0.5× 101 0.8× 48 0.6× 24 767
Patrícia Oliveira Portugal 16 533 1.7× 191 0.8× 200 0.9× 174 1.3× 164 2.1× 29 858
Hongbo Wu China 17 352 1.1× 123 0.5× 227 1.0× 170 1.3× 57 0.7× 50 826
Takafumi Kamiya Japan 13 352 1.1× 217 0.9× 84 0.4× 232 1.8× 54 0.7× 37 787
Ammira S. Al-Shabeeb Akil Qatar 7 586 1.8× 176 0.7× 253 1.1× 117 0.9× 43 0.5× 15 864
Ahmed Al‐Samadi Finland 18 269 0.8× 287 1.1× 167 0.8× 203 1.5× 83 1.1× 62 797

Countries citing papers authored by Bingrui Li

Since Specialization
Citations

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

Fields of papers citing papers by Bingrui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingrui Li

This figure shows the co-authorship network connecting the top 25 collaborators of Bingrui Li. A scholar is included among the top collaborators of Bingrui Li 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 Bingrui Li. Bingrui Li 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.
Li, Bingrui, Xiaobo Zhou, & Raghu Kalluri. (2025). scPER: A Rigorous Computational Approach to Determine Cellular Subtypes in Tumors Aligned With Cancer Phenotypes From Total RNA Sequencing. Advanced Science. 13(8). e14502–e14502.
3.
Li, Bingrui, Yingying Hu, & Raghu Kalluri. (2025). Human extracellular vesicle blueprints. Nature Cell Biology. 27(12). 2046–2048.
5.
Li, Bingrui, Fernanda G. Kugeratski, & Raghu Kalluri. (2024). A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes. eLife. 12. 8 indexed citations
6.
Wang, Zhengfang, Yujie Yang, Bingrui Li, et al.. (2024). A Pavement Crack Registration and Change Identification Method Based on Unsupervised Deep Neural Network. IEEE Transactions on Intelligent Transportation Systems. 26(1). 757–769.
7.
Mahadevan, Krishnan K., Yang Chen, Bingrui Li, et al.. (2024). Type I conventional dendritic cells facilitate immunotherapy in pancreatic cancer. Science. 384(6703). eadh4567–eadh4567. 20 indexed citations
8.
LeBleu, Valerie S., Eliot Fletcher-Sananikone, Jiha Kim, et al.. (2024). Vascular heterogeneity of tight junction Claudins guides organotropic metastasis. Nature Cancer. 5(9). 1371–1389. 3 indexed citations
9.
Ji, Y. Y., et al.. (2024). Computational design of CDK1 inhibitors with enhanced target affinity and drug-likeness using deep-learning framework. Heliyon. 10(22). e40345–e40345. 1 indexed citations
10.
Li, Bingrui, Fernanda G. Kugeratski, & Raghu Kalluri. (2023). A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes. eLife. 12. 27 indexed citations
11.
Li, Bingrui, Haofei Li, Hongjie Chen, et al.. (2023). Microgel Assembly Powder Improves Acute Hemostasis, Antibacterial, and Wound Healing via In Situ Co‐Assembly of Erythrocyte and Microgel. Advanced Functional Materials. 33(36). 63 indexed citations
12.
Mahadevan, Krishnan K., Valerie S. LeBleu, Yang Chen, et al.. (2023). Elimination of oncogenic KRAS in genetic mouse models eradicates pancreatic cancer by inducing FAS-dependent apoptosis by CD8+ T cells. Developmental Cell. 58(17). 1562–1577.e8. 32 indexed citations
13.
Haltom, Amanda R., Janine Hensel, Jiha Kim, et al.. (2022). Engineered exosomes targeting MYC reverse the proneural-mesenchymal transition and extend survival of glioblastoma. SHILAP Revista de lepidopterología. 1. 100014–100014. 23 indexed citations
14.
McAndrews, Kathleen M., Yang Chen, J. Kebbeh Darpolor, et al.. (2022). Identification of Functional Heterogeneity of Carcinoma-Associated Fibroblasts with Distinct IL6-Mediated Therapy Resistance in Pancreatic Cancer. Cancer Discovery. 12(6). 1580–1597. 191 indexed citations breakdown →
15.
Wang, Lin, et al.. (2022). Maslinic Acid Suppresses High Glucose-induced Inflammation by Epigenetically Inhibiting TXNIP Expression. Current Medical Science. 42(6). 1213–1219. 7 indexed citations
16.
Li, Chang, Bingrui Li, & Sisi Zhao. (2021). A 3D Compensation Method for the Systematic Errors of Kinect V2. Remote Sensing. 13(22). 4583–4583. 1 indexed citations
17.
McAndrews, Kathleen M., Karina Vázquez-Arreguín, Changsoo Kwak, et al.. (2021). αSMA+ fibroblasts suppress Lgr5+ cancer stem cells and restrain colorectal cancer progression. Oncogene. 40(26). 4440–4452. 32 indexed citations
18.
Li, Bingrui, Guangsheng Pei, Jun Yao, et al.. (2021). Cell-type deconvolution analysis identifies cancer-associated myofibroblast component as a poor prognostic factor in multiple cancer types. Oncogene. 40(28). 4686–4694. 31 indexed citations
19.
Li, Bingrui, Nianyu Li, Kai Li, et al.. (2018). Hsa_circ_0001859 Regulates ATF2 Expression by Functioning as an MiR-204/211 Sponge in Human Rheumatoid Arthritis. Journal of Immunology Research. 2018. 1–8. 50 indexed citations
20.
Li, Bingrui, et al.. (2014). The Simulation Study of Spread and Evolution about Network Opinion on Education. Asian Social Science. 10(10). 1 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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