Ren-Yuan Bai

2.9k total citations
25 papers, 1.9k citations indexed

About

Ren-Yuan Bai is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Ren-Yuan Bai has authored 25 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Ren-Yuan Bai's work include Neurofibromatosis and Schwannoma Cases (5 papers), Cancer Research and Treatments (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Ren-Yuan Bai is often cited by papers focused on Neurofibromatosis and Schwannoma Cases (5 papers), Cancer Research and Treatments (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Ren-Yuan Bai collaborates with scholars based in United States, Germany and United Kingdom. Ren-Yuan Bai's co-authors include Justus Duyster, Verena Staedtke, Stephan W. Morris, Christian Peschel, Gregory J. Riggins, Gregory J. Riggins, Tao Ouyang, Cornelius Miething, Peter Dieter and Shibin Zhou and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Ren-Yuan Bai

25 papers receiving 1.9k citations

Peers

Ren-Yuan Bai

ONCOL

PFM

PRM

GENET

Mitomu Kioi Japan

Dieter Zopf Germany

Doris A. Phelps United States

Takanori Tsuji United States

Keith Dredge United States

Hideki Makinoshima Japan

Matthew Holderfield United States

Claudia Kowolik United States

Michiko Niwa‐Kawakita France

Christopher S. Hackett United States

Mitomu Kioi Japan

Ren-Yuan Bai

1.5k ×1.6

909 ×1.5

ONCOL

168 ×0.3

PFM

232 ×0.8

PRM

258 ×1.0

GENET

Citations per year, relative to Ren-Yuan Bai Ren-Yuan Bai (= 1×) peers Mitomu Kioi

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

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20 of 20 papers shown

Chen, Xiang, Li Pan, Jia Wei, et al.. (2021). LLL12B, a small molecule STAT3 inhibitor, induces growth arrest, apoptosis, and enhances cisplatin-mediated cytotoxicity in medulloblastoma cells. Scientific Reports. 11(1). 6517–6517. 14 indexed citations

Gampala, Silpa, Fenil Shah, Chi Zhang, et al.. (2021). Exploring transcriptional regulators Ref-1 and STAT3 as therapeutic targets in malignant peripheral nerve sheath tumours. British Journal of Cancer. 124(9). 1566–1580. 10 indexed citations

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. Gene Therapy. 26(6). 277–286. 32 indexed citations

Staedtke, Verena, Ren-Yuan Bai, Martin Darvas, et al.. (2018). Disruption of a self-amplifying catecholamine loop reduces cytokine release syndrome. Nature. 564(7735). 273–277. 191 indexed citations

Staedtke, Verena, Ren-Yuan Bai, & Jaishri O. Blakeley. (2017). Cancer of the Peripheral Nerve in Neurofibromatosis Type 1. Neurotherapeutics. 14(2). 298–306. 29 indexed citations

Bai, Ren-Yuan, et al.. (2016). Mebendazole and a non-steroidal anti-inflammatory combine to reduce tumor initiation in a colon cancer preclinical model. Oncotarget. 7(42). 68571–68584. 62 indexed citations

Staedtke, Verena, Ren-Yuan Bai, & John Laterra. (2016). Investigational new drugs for brain cancer. Expert Opinion on Investigational Drugs. 25(8). 937–956. 20 indexed citations

Staedtke, Verena, Nicholas J. Roberts, Ren-Yuan Bai, & Shibin Zhou. (2016). Clostridium novyi-NT in cancer therapy. Genes & Diseases. 3(2). 144–152. 95 indexed citations

Bai, Ren-Yuan, Jon Chung, Alexandra Borodovsky, et al.. (2014). Repurposing the Antihelmintic Mebendazole as a Hedgehog Inhibitor. Molecular Cancer Therapeutics. 14(1). 3–13. 75 indexed citations

10.

Bai, Ren-Yuan, Verena Staedtke, Charles M. Rudin, Fred Bunz, & Gregory J. Riggins. (2014). Effective treatment of diverse medulloblastoma models with mebendazole and its impact on tumor angiogenesis. Neuro-Oncology. 17(4). 545–554. 74 indexed citations

11.

Bai, Ren-Yuan, Verena Staedtke, Hart G.W. Lidov, Charles G. Eberhart, & Gregory J. Riggins. (2012). OTX2 Represses Myogenic and Neuronal Differentiation in Medulloblastoma Cells. Cancer Research. 72(22). 5988–6001. 32 indexed citations

12.

Bai, Ren-Yuan, Verena Staedtke, & Gregory J. Riggins. (2011). Molecular targeting of glioblastoma: Drug discovery and therapies. Trends in Molecular Medicine. 17(6). 301–312. 109 indexed citations

13.

Bai, Ren-Yuan, Verena Staedtke, Colette Aprhys, Gary L. Gallia, & Gregory J. Riggins. (2011). Antiparasitic mebendazole shows survival benefit in 2 preclinical models of glioblastoma multiforme. Neuro-Oncology. 13(9). 974–982. 157 indexed citations

14.

Bassermann, Florian, Christine von Klitzing, Ren-Yuan Bai, et al.. (2005). NIPA Defines an SCF-Type Mammalian E3 Ligase that Regulates Mitotic Entry. Cell. 122(1). 45–57. 61 indexed citations

15.

Bassermann, Florian, et al.. (2005). Phosphorylation of Grb10 Regulates Its Interaction with 14-3-3. Journal of Biological Chemistry. 280(17). 16987–16993. 19 indexed citations

16.

Ouyang, Tao, Ren-Yuan Bai, Florian Bassermann, et al.. (2003). Identification and Characterization of a Nuclear Interacting Partner of Anaplastic Lymphoma Kinase (NIPA). Journal of Biological Chemistry. 278(32). 30028–30036. 43 indexed citations

17.

Bassermann, Florian, Thomas Jähn, Cornelius Miething, et al.. (2002). Association of Bcr-Abl with the Proto-oncogene Vav Is Implicated in Activation of the Rac-1 Pathway. Journal of Biological Chemistry. 277(14). 12437–12445. 46 indexed citations

18.

Bai, Ren-Yuan, Tao Ouyang, Stephan A. Hahn, et al.. (2002). SMIF, a Smad4-interacting protein that functions as a co-activator in TGFβ signalling. Nature Cell Biology. 4(3). 181–190. 68 indexed citations

19.

Duyster, Justus, Ren-Yuan Bai, & Stephan W. Morris. (2001). Translocations involving anaplastic lymphoma kinase (ALK). Oncogene. 20(40). 5623–5637. 200 indexed citations

20.

Bai, Ren-Yuan, Peter Dieter, Christian Peschel, Stephan W. Morris, & Justus Duyster. (1998). Nucleophosmin-Anaplastic Lymphoma Kinase of Large-Cell Anaplastic Lymphoma Is a Constitutively Active Tyrosine Kinase That Utilizes Phospholipase C-γ To Mediate Its Mitogenicity. Molecular and Cellular Biology. 18(12). 6951–6961. 234 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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