Brian J. Wilson

4.3k total citations · 1 hit paper
59 papers, 3.0k citations indexed

About

Brian J. Wilson is a scholar working on Molecular Biology, Oncology and Electrical and Electronic Engineering. According to data from OpenAlex, Brian J. Wilson has authored 59 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Oncology and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Brian J. Wilson's work include Advanced Optical Network Technologies (11 papers), Cancer Cells and Metastasis (9 papers) and Optical Network Technologies (7 papers). Brian J. Wilson is often cited by papers focused on Advanced Optical Network Technologies (11 papers), Cancer Cells and Metastasis (9 papers) and Optical Network Technologies (7 papers). Brian J. Wilson collaborates with scholars based in United States, Canada and Australia. Brian J. Wilson's co-authors include Vincent Giguère, Charles H. Pegelow, Darleen Powars, J. R. L. Allen, Markus H. Frank, Natasha Y. Frank, Annie Tremblay, Catherine R. Dufour, Gëorge F. Murphy and Tobias Schatton and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and The EMBO Journal.

In The Last Decade

Brian J. Wilson

57 papers receiving 2.9k citations

Hit Papers

The natural history of stroke in sickle cell disease 1978 2026 1994 2010 1978 100 200 300 400

Peers

Brian J. Wilson
Tsz‐Kwong Man United States
Hao Xiong United States
Fei Gu China
Lu Sun China
Changwon Park United States
Chryso Kanthou United Kingdom
Tsz‐Kwong Man United States
Brian J. Wilson
Citations per year, relative to Brian J. Wilson Brian J. Wilson (= 1×) peers Tsz‐Kwong Man

Countries citing papers authored by Brian J. Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Wilson. 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 Brian J. Wilson. The network helps show where Brian J. Wilson may publish in the future.

Co-authorship network of co-authors of Brian J. Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Wilson. A scholar is included among the top collaborators of Brian J. Wilson 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 Brian J. Wilson. Brian J. Wilson 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.
Wong, Jong Fu, Carlos Zepeda‐Velázquez, Laurent Hoffer, et al.. (2024). Discovery of Conformationally Constrained ALK2 Inhibitors. Journal of Medicinal Chemistry. 67(6). 4707–4725. 3 indexed citations
2.
Mann, Mandeep, Brian J. Wilson, Albina Bolotokova, et al.. (2023). Small Molecule Screen Identifies Non-catalytic USP3 Chemical Handle. ACS Omega. 9(1). 917–924. 1 indexed citations
3.
Sasamoto, Yuzuru, Catherine Lee, Brian J. Wilson, et al.. (2022). Limbal BCAM expression identifies a proliferative progenitor population capable of holoclone formation and corneal differentiation. Cell Reports. 40(6). 111166–111166. 10 indexed citations
4.
Mann, Mandeep, Carlos Zepeda‐Velázquez, Aiping Dong, et al.. (2021). Structure–Activity Relationship of USP5 Inhibitors. Journal of Medicinal Chemistry. 64(20). 15017–15036. 13 indexed citations
5.
Frank, Markus H., Brian J. Wilson, Jason S. Gold, & Natasha Y. Frank. (2021). Clinical Implications of Colorectal Cancer Stem Cells in the Age of Single-Cell Omics and Targeted Therapies. Gastroenterology. 160(6). 1947–1960. 76 indexed citations
6.
Guo, Qin, Tanja Grimmig, Gabriel González, et al.. (2018). ATP-binding cassette member B5 (ABCB5) promotes tumor cell invasiveness in human colorectal cancer. Journal of Biological Chemistry. 293(28). 11166–11178. 56 indexed citations
7.
Ericson, Bret, Deborah Havens, William Daniell, et al.. (2017). Improving human health outcomes with a low-cost intervention to reduce exposures from lead acid battery recycling: Dong Mai, Vietnam. Environmental Research. 161. 181–187. 21 indexed citations
8.
Ksander, Bruce R., et al.. (2016). ABCB5 identifies RPE progenitor cells required for normal retinal development and aging. Investigative Ophthalmology & Visual Science. 57(12). 1 indexed citations
9.
Lutz, Norbert W., Pallavi Banerjee, Brian J. Wilson, et al.. (2016). Expression of Cell-Surface Marker ABCB5 Causes Characteristic Modifications of Glucose, Amino Acid and Phospholipid Metabolism in the G3361 Melanoma-Initiating Cell Line. PLoS ONE. 11(8). e0161803–e0161803. 14 indexed citations
10.
Wilson, Brian J., Karim R. Saab, Jie Ma, et al.. (2014). ABCB5 Maintains Melanoma-Initiating Cells through a Proinflammatory Cytokine Signaling Circuit. Cancer Research. 74(15). 4196–4207. 116 indexed citations
11.
Lin, Jennifer Y., Mingfeng Zhang, Tobias Schatton, et al.. (2013). Genetically determined ABCB5 functionality correlates with pigmentation phenotype and melanoma risk. Biochemical and Biophysical Research Communications. 436(3). 536–542. 11 indexed citations
12.
Murphy, Gëorge F., Brian J. Wilson, Sasha D. Girouard, Natasha Y. Frank, & Markus H. Frank. (2013). Stem cells and targeted approaches to melanoma cure. Molecular Aspects of Medicine. 39. 33–49. 45 indexed citations
13.
Wilson, Brian J., Tobias Schatton, Qian Zhan, et al.. (2011). ABCB5 Identifies a Therapy-Refractory Tumor Cell Population in Colorectal Cancer Patients. Cancer Research. 71(15). 5307–5316. 113 indexed citations
14.
Frank, Natasha Y., Tobias Schatton, Soo‐Jeong Kim, et al.. (2011). VEGFR-1 Expressed by Malignant Melanoma-Initiating Cells Is Required for Tumor Growth. Cancer Research. 71(4). 1474–1485. 133 indexed citations
15.
Wilson, Brian J., Tobias Schatton, Markus H. Frank, & Natasha Y. Frank. (2011). Colorectal Cancer Stem Cells: Biology and Therapeutic Implications. Current Colorectal Cancer Reports. 7(2). 128–135. 36 indexed citations
16.
Sabbatini, Peter, Jason L. Rowand, Arthur Groy, et al.. (2009). Antitumor Activity of GSK1904529A, a Small-molecule Inhibitor of the Insulin-like Growth Factor-I Receptor Tyrosine Kinase. Clinical Cancer Research. 15(9). 3058–3067. 62 indexed citations
17.
Wilson, Brian J. & Vincent Giguère. (2008). Meta-analysis of human cancer microarrays reveals GATA3 is integral to the estrogen receptor alpha pathway. Molecular Cancer. 7(1). 49–49. 80 indexed citations
18.
Wilson, Brian J.. (2008). Meta-analysis of SUMO1. BMC Research Notes. 1(1). 60–60. 4 indexed citations
19.
Wilson, Brian J., Ryoko Harada, Lam Leduy, Morley D. Hollenberg, & Alain Nepveu. (2008). CUX1 Transcription Factor Is a Downstream Effector of the Proteinase-activated Receptor 2 (PAR2). Journal of Biological Chemistry. 284(1). 36–45. 11 indexed citations
20.
Bates, Gaynor J., Samantha M. Nicol, Brian J. Wilson, et al.. (2005). The DEAD box protein p68: a novel transcriptional coactivator of the p53 tumour suppressor. The EMBO Journal. 24(3). 543–553. 194 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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