B. Nelson Chau

5.7k total citations · 2 hit papers
33 papers, 4.1k citations indexed

About

B. Nelson Chau is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, B. Nelson Chau has authored 33 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 16 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in B. Nelson Chau's work include MicroRNA in disease regulation (13 papers), Cell death mechanisms and regulation (8 papers) and RNA Interference and Gene Delivery (7 papers). B. Nelson Chau is often cited by papers focused on MicroRNA in disease regulation (13 papers), Cell death mechanisms and regulation (8 papers) and RNA Interference and Gene Delivery (7 papers). B. Nelson Chau collaborates with scholars based in United States, Switzerland and Singapore. B. Nelson Chau's co-authors include Peter S. Linsley, Michele A. Cleary, J. Marie Hardwick, Jean Y. J. Wang, Aimee L. Jackson, Janell M. Schelter, Julja Burchard, Lee P. Lim, Aaron N. Chang and Yuri Lazebnik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

B. Nelson Chau

33 papers receiving 4.0k citations

Hit Papers

Widespread siRNA “off-target” transcript silencing mediat... 2006 2026 2012 2019 2006 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Nelson Chau United States 24 3.1k 1.4k 541 340 310 33 4.1k
Selina Raguz United Kingdom 24 2.6k 0.8× 1.3k 1.0× 767 1.4× 241 0.7× 645 2.1× 35 4.0k
Lisa Oliver France 40 2.6k 0.8× 839 0.6× 838 1.5× 381 1.1× 466 1.5× 102 4.2k
Kou‐Juey Wu Taiwan 30 2.5k 0.8× 894 0.7× 661 1.2× 166 0.5× 259 0.8× 59 3.6k
Enrico De Smaele Italy 38 4.0k 1.3× 1.8k 1.3× 983 1.8× 389 1.1× 770 2.5× 75 5.4k
Shu‐Chun Teng Taiwan 31 3.7k 1.2× 1.1k 0.8× 1.0k 1.9× 235 0.7× 283 0.9× 72 4.7k
Long‐Yuan Li Taiwan 29 2.5k 0.8× 622 0.5× 976 1.8× 223 0.7× 313 1.0× 79 3.5k
Damjan Glavač Slovenia 39 3.1k 1.0× 2.2k 1.6× 599 1.1× 274 0.8× 193 0.6× 143 5.0k
Maurizio Fanciulli Italy 32 2.8k 0.9× 821 0.6× 1.1k 2.1× 538 1.6× 370 1.2× 115 4.0k
Raffaella Di Micco Italy 18 3.3k 1.1× 749 0.5× 947 1.8× 328 1.0× 774 2.5× 31 4.9k
Lidija Covic United States 37 1.9k 0.6× 1.2k 0.9× 689 1.3× 239 0.7× 487 1.6× 63 4.8k

Countries citing papers authored by B. Nelson Chau

Since Specialization
Citations

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

Fields of papers citing papers by B. Nelson Chau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. Nelson Chau. 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 B. Nelson Chau. The network helps show where B. Nelson Chau may publish in the future.

Co-authorship network of co-authors of B. Nelson Chau

This figure shows the co-authorship network connecting the top 25 collaborators of B. Nelson Chau. A scholar is included among the top collaborators of B. Nelson Chau 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 B. Nelson Chau. B. Nelson Chau 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.
Chen, Kuang-Yui Michael, Jason Lai, Jialu Wang, et al.. (2025). Computational design of highly signalling-active membrane receptors through solvent-mediated allosteric networks. Nature Chemistry. 17(3). 429–438. 1 indexed citations
2.
Huang, Xinqiang, Jill Magnus, Vivek Kaimal, et al.. (2017). Lipid Nanoparticle–Mediated Delivery of Anti-miR-17 Family Oligonucleotide Suppresses Hepatocellular Carcinoma Growth. Molecular Cancer Therapeutics. 16(5). 905–913. 16 indexed citations
3.
Bertero, Thomas, Katherine A. Cottrill, Sofia Annis, et al.. (2015). A YAP/TAZ-miR-130/301 molecular circuit exerts systems-level control of fibrosis in a network of human diseases and physiologic conditions. Scientific Reports. 5(1). 18277–18277. 48 indexed citations
4.
Androsavich, John R., Xueqing Liu, Shweta Pandya, et al.. (2015). Polysome shift assay for direct measurement of miRNA inhibition by anti-miRNA drugs. Nucleic Acids Research. 44(2). e13–e13. 14 indexed citations
5.
Hogan, Daniel J., Thomas M. Vincent, Sarah Fish, et al.. (2014). Anti-miRs Competitively Inhibit microRNAs in Argonaute Complexes. PLoS ONE. 9(7). e100951–e100951. 39 indexed citations
6.
Bertero, Thomas, Katherine A. Cottrill, Yu Lu, et al.. (2014). The MicroRNA-130/301 Family Controls Vasoconstriction in Pulmonary Hypertension. Journal of Biological Chemistry. 290(4). 2069–2085. 71 indexed citations
7.
Androsavich, John R. & B. Nelson Chau. (2014). Non-inhibited miRNAs shape the cellular response to anti-miR. Nucleic Acids Research. 42(11). 6945–6955. 18 indexed citations
8.
Androsavich, John R., B. Nelson Chau, Balkrishen Bhat, Peter S. Linsley, & Nils G. Walter. (2012). Disease-linked microRNA-21 exhibits drastically reduced mRNA binding and silencing activity in healthy mouse liver. RNA. 18(8). 1510–1526. 42 indexed citations
9.
Chau, B. Nelson, Cuiyan Xin, Jochen C. Hartner, et al.. (2012). MicroRNA-21 Promotes Fibrosis of the Kidney by Silencing Metabolic Pathways. Science Translational Medicine. 4(121). 121ra18–121ra18. 465 indexed citations breakdown →
10.
Ng, Terry Fei Fan, Dana Willner, Christína Nilsson, et al.. (2010). Vector-based metagenomics for animal virus surveillance. International Journal of Infectious Diseases. 14. e378–e378. 3 indexed citations
11.
Chau, B. Nelson, Robert L. Diaz, Matthew A. Saunders, et al.. (2009). Identification of SULF2 as a Novel Transcriptional Target of p53 by Use of Integrated Genomic Analyses. Cancer Research. 69(4). 1368–1374. 42 indexed citations
12.
Georges, Sara A., Matthew C. Biery, Soo‐Yeon Kim, et al.. (2008). Coordinated Regulation of Cell Cycle Transcripts by p53-Inducible microRNAs, miR-192 and miR-215. Cancer Research. 68(24). 10105–10112. 286 indexed citations
13.
Guo, Jessie Yanxiang, Ayumi Yamada, Taisuke Kajino, et al.. (2008). Aven-Dependent Activation of ATM Following DNA Damage. Current Biology. 18(13). 933–942. 41 indexed citations
14.
Jackson, Aimee L., Julja Burchard, Janell M. Schelter, et al.. (2006). Widespread siRNA “off-target” transcript silencing mediated by seed region sequence complementarity. RNA. 12(7). 1179–1187. 744 indexed citations breakdown →
16.
Chau, B. Nelson & Jean Y. J. Wang. (2003). Coordinated regulation of life and death by RB. Nature reviews. Cancer. 3(2). 130–138. 230 indexed citations
17.
Chau, B. Nelson, et al.. (2002). Signal-dependent protection from apoptosis in mice expressing caspase-resistant Rb. Nature Cell Biology. 4(10). 757–765. 74 indexed citations
18.
Basáñez, Gorka, Jun Zhang, B. Nelson Chau, et al.. (2001). Pro-apoptotic Cleavage Products of Bcl-xL Form Cytochrome c-conducting Pores in Pure Lipid Membranes. Journal of Biological Chemistry. 276(33). 31083–31091. 124 indexed citations
19.
Kirsch, David G., Andrea I. Doseff, B. Nelson Chau, et al.. (1999). Caspase-3-dependent Cleavage of Bcl-2 Promotes Release of Cytochrome c. Journal of Biological Chemistry. 274(30). 21155–21161. 414 indexed citations
20.
Lewis, Jennifer, George A. Oyler, Kazuyoshi Ueno, et al.. (1999). Inhibition of virus-induced neuronal apoptosis by Bax. Nature Medicine. 5(7). 832–835. 94 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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