Ren-Yuan Bai

1.2k total citations
22 papers, 851 citations indexed

About

Ren-Yuan Bai is a scholar working on Molecular Biology, Materials Chemistry and Neurology. According to data from OpenAlex, Ren-Yuan Bai has authored 22 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Materials Chemistry and 4 papers in Neurology. Recurrent topics in Ren-Yuan Bai's work include Lanthanide and Transition Metal Complexes (5 papers), Cancer Research and Treatments (4 papers) and Advanced MRI Techniques and Applications (4 papers). Ren-Yuan Bai is often cited by papers focused on Lanthanide and Transition Metal Complexes (5 papers), Cancer Research and Treatments (4 papers) and Advanced MRI Techniques and Applications (4 papers). Ren-Yuan Bai collaborates with scholars based in United States, China and Italy. Ren-Yuan Bai's co-authors include Verena Staedtke, John B. Perkins, Bastien Chevreux, Markus Wyss, Sabrina Rodriguez, Zoltán Prágai, Andrea Muffler, Daniel R. Zeigler, Thomas Albert and Gary L. Gallia and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Blood.

In The Last Decade

Ren-Yuan Bai

20 papers receiving 842 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ren-Yuan Bai United States 14 385 180 141 134 118 22 851
Barbara Maertens Germany 12 774 2.0× 123 0.7× 46 0.3× 48 0.4× 79 0.7× 19 1.0k
Benjamin T. Porebski Australia 19 769 2.0× 122 0.7× 153 1.1× 50 0.4× 57 0.5× 30 1.1k
Sonia Di Gaetano Italy 24 974 2.5× 90 0.5× 90 0.6× 46 0.3× 55 0.5× 72 1.3k
Lester G. Carter United Kingdom 17 729 1.9× 123 0.7× 150 1.1× 77 0.6× 38 0.3× 24 965
Robert Janowski Germany 22 1.0k 2.7× 90 0.5× 242 1.7× 51 0.4× 64 0.5× 55 1.5k
Aleksandr E. Miklos United States 13 644 1.7× 77 0.4× 102 0.7× 72 0.5× 103 0.9× 23 959
Marc Ribó Spain 21 1.0k 2.6× 155 0.9× 263 1.9× 57 0.4× 33 0.3× 59 1.2k
Giovanni Gotte Italy 24 1.3k 3.3× 251 1.4× 349 2.5× 98 0.7× 32 0.3× 51 1.5k
Tammy‐Lynn Tremblay Canada 15 610 1.6× 48 0.3× 44 0.3× 94 0.7× 164 1.4× 28 1.0k
Minyi Gu United States 13 797 2.1× 187 1.0× 214 1.5× 67 0.5× 34 0.3× 17 1.1k

Countries citing papers authored by Ren-Yuan Bai

Since Specialization
Citations

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

Fields of papers citing papers by Ren-Yuan Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ren-Yuan Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Ren-Yuan Bai. A scholar is included among the top collaborators of Ren-Yuan 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 Ren-Yuan Bai. Ren-Yuan Bai 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.
Bai, Ren-Yuan, Jianan Liu, Yuqing Lu, et al.. (2025). Development of an adeno-associated virus vector for gene replacement therapy of NF1-related tumors. Nature Communications. 16(1). 8594–8594.
2.
Lu, Yuqing, et al.. (2025). Neurofibromatosis Type 1: Genetic Mechanisms and Advances in Therapeutic Innovation. Cancers. 17(23). 3788–3788.
3.
Xu, Hua‐Zhen, et al.. (2025). Neutrophil Dynamics in Response to Cancer Therapies. Cancers. 17(15). 2593–2593. 1 indexed citations
4.
Staedtke, Verena, et al.. (2024). Hypoxia-targeting bacteria in cancer therapy. Seminars in Cancer Biology. 100. 39–48. 13 indexed citations
5.
Serra, Riccardo, Tianna Zhao, Sakibul Huq, et al.. (2021). Disulfiram and copper combination therapy targets NPL4, cancer stem cells and extends survival in a medulloblastoma model. PLoS ONE. 16(11). e0251957–e0251957. 12 indexed citations
6.
Han, Zheng, Xiang Xu, Ren-Yuan Bai, et al.. (2021). Dynamic contrast‐enhanced CEST MRI using a low molecular weight dextran. NMR in Biomedicine. 35(3). e4649–e4649. 13 indexed citations
7.
Chen, Lin, Jing Liu, Chengyan Chu, et al.. (2021). Deuterium oxide as a contrast medium for real-time MRI-guided endovascular neurointervention. Theranostics. 11(13). 6240–6250. 6 indexed citations
8.
Konig, Maximilian F., Michael Powell, Verena Staedtke, et al.. (2020). Preventing cytokine storm syndrome in COVID-19 using α-1 adrenergic receptor antagonists. Journal of Clinical Investigation. 130(7). 3345–3347. 87 indexed citations
9.
Gallia, Gary L., Matthias Holdhoff, Henry Brem, et al.. (2020). Mebendazole and temozolomide in patients with newly diagnosed high-grade gliomas: results of a phase 1 clinical trial. Neuro-Oncology Advances. 3(1). vdaa154–vdaa154. 31 indexed citations
10.
Bai, Ren-Yuan, Dominic Esposito, Ada Tam, et al.. (2019). Feasibility of using NF1-GRD and AAV for gene replacement therapy in NF1-associated tumors. eScholarship (California Digital Library). 1 indexed citations
11.
Jain, Michael D., Rawan Faramand, Verena Staedtke, et al.. (2019). The Lymphoma Tumor Microenvironment Influences Toxicity after CD19 CAR T Cell Therapy. Blood. 134(Supplement_1). 4105–4105. 4 indexed citations
12.
Liu, Jing, Ren-Yuan Bai, Yuguo Li, et al.. (2018). MRI detection of bacterial brain abscesses and monitoring of antibiotic treatment using bacCEST. Magnetic Resonance in Medicine. 80(2). 662–671. 22 indexed citations
13.
Li, Yuguo, Yuan Qiao, Hanwei Chen, et al.. (2017). Characterization of tumor vascular permeability using natural dextrans and CEST MRI. Magnetic Resonance in Medicine. 79(2). 1001–1009. 35 indexed citations
14.
Lock, Lye Lin, Yuguo Li, Hanwei Chen, et al.. (2017). One-Component Supramolecular Filament Hydrogels as Theranostic Label-Free Magnetic Resonance Imaging Agents. ACS Nano. 11(1). 797–805. 98 indexed citations
15.
Bai, Ren-Yuan, Verena Staedtke, Michelle A. Rudek, et al.. (2015). Brain Penetration and Efficacy of Different Mebendazole Polymorphs in a Mouse Brain Tumor Model. Clinical Cancer Research. 21(15). 3462–3470. 70 indexed citations
16.
Binder, Zev A., I‐Mei Siu, Charles G. Eberhart, et al.. (2013). Podocalyxin-Like Protein Is Expressed in Glioblastoma Multiforme Stem-Like Cells and Is Associated with Poor Outcome. PLoS ONE. 8(10). e75945–e75945. 38 indexed citations
17.
Qiao, Yuan, Xin Huang, Sridhar Nimmagadda, et al.. (2011). A Robust Approach to Enhance Tumor-selective Accumulation of Nanoparticles. Oncotarget. 2(1-2). 59–68. 36 indexed citations
18.
Bai, Ren-Yuan, I‐Mei Siu, Betty Tyler, et al.. (2010). Evaluation of retinoic acid therapy for OTX2-positive medulloblastomas. Neuro-Oncology. 12(7). 655–663. 23 indexed citations
19.
Siu, I‐Mei, Ren-Yuan Bai, Gary L. Gallia, et al.. (2008). Coexpression of neuronatin splice forms promotes medulloblastoma growth. Neuro-Oncology. 10(5). 716–724. 25 indexed citations
20.
Zeigler, Daniel R., Zoltán Prágai, Sabrina Rodriguez, et al.. (2008). The Origins of 168, W23, and Other Bacillus subtilis Legacy Strains. Journal of Bacteriology. 190(21). 6983–6995. 287 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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