Brian W. Booth

1.9k total citations · 1 hit paper
46 papers, 1.5k citations indexed

About

Brian W. Booth is a scholar working on Oncology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Brian W. Booth has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 15 papers in Molecular Biology and 8 papers in Biomedical Engineering. Recurrent topics in Brian W. Booth's work include Cancer Cells and Metastasis (18 papers), HER2/EGFR in Cancer Research (6 papers) and 3D Printing in Biomedical Research (4 papers). Brian W. Booth is often cited by papers focused on Cancer Cells and Metastasis (18 papers), HER2/EGFR in Cancer Research (6 papers) and 3D Printing in Biomedical Research (4 papers). Brian W. Booth collaborates with scholars based in United States, Switzerland and India. Brian W. Booth's co-authors include Gilbert H. Smith, Corinne A. Boulanger, David L. Mack, Luigi Strizzi, Linda D. Martin, David S. Salomon, Katharine M. Hardy, Mary J.C. Hendrix, Karen J. L. Burg and L.H. Anderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

In The Last Decade

Brian W. Booth

45 papers receiving 1.5k citations

Hit Papers

Biomedical applications of tannic acid 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
Brian W. Booth United States 20 664 595 201 181 163 46 1.5k
Panghu Zhou China 24 552 0.8× 1.1k 1.9× 216 1.1× 304 1.7× 212 1.3× 55 2.4k
Madhavi Kadakia United States 22 409 0.6× 712 1.2× 180 0.9× 127 0.7× 62 0.4× 42 1.3k
Bin Shao China 27 369 0.6× 878 1.5× 351 1.7× 174 1.0× 148 0.9× 82 1.9k
Hongxin Deng China 27 623 0.9× 1.0k 1.8× 310 1.5× 167 0.9× 137 0.8× 128 2.3k
Jingkun Zhao China 26 534 0.8× 750 1.3× 370 1.8× 89 0.5× 174 1.1× 74 1.7k
Badrul Hisham Yahaya Malaysia 21 293 0.4× 581 1.0× 250 1.2× 206 1.1× 274 1.7× 82 1.5k
Yao Lv China 23 251 0.4× 667 1.1× 407 2.0× 216 1.2× 170 1.0× 101 1.8k
Yi Zhao China 22 234 0.4× 827 1.4× 200 1.0× 243 1.3× 99 0.6× 82 1.6k
Macarena Perán Spain 25 307 0.5× 591 1.0× 209 1.0× 379 2.1× 85 0.5× 77 1.7k
An Hong China 26 328 0.5× 991 1.7× 430 2.1× 265 1.5× 103 0.6× 111 2.1k

Countries citing papers authored by Brian W. Booth

Since Specialization
Citations

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

Fields of papers citing papers by Brian W. Booth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian W. Booth

This figure shows the co-authorship network connecting the top 25 collaborators of Brian W. Booth. A scholar is included among the top collaborators of Brian W. Booth 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 W. Booth. Brian W. Booth 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.
Henderson, Jason, et al.. (2023). Optimization of tumor-treating field therapy for triple-negative breast cancer cells in vitro via frequency modulation. Cancer Cell International. 23(1). 110–110. 5 indexed citations
2.
Henderson, Jason, et al.. (2023). Efficacy and selectivity of tumor-treating field therapy for triple-negative breast cancer cells via in-house delivery device. Discover Oncology. 14(1). 34–34. 10 indexed citations
3.
Booth, Brian W., et al.. (2021). Asymmetric cell division of mammary stem cells. Cell Division. 16(1). 5–5. 24 indexed citations
4.
Booth, Brian W., et al.. (2019). Redirecting Normal and Cancer Stem Cells to a Mammary Epithelial Cell Fate. Journal of Mammary Gland Biology and Neoplasia. 24(4). 285–292. 6 indexed citations
5.
Coissieux, Marie‐May, et al.. (2017). RNA Expression Profiling Reveals Differentially Regulated Growth Factor and Receptor Expression in Redirected Cancer Cells. Stem Cells and Development. 26(9). 646–655. 5 indexed citations
6.
Booth, Brian W., et al.. (2017). HER2+ breast cancer cells undergo apoptosis upon exposure to tannic acid released from remodeled cross‐linked collagen type I. Journal of Biomedical Materials Research Part A. 106(1). 26–32. 25 indexed citations
7.
Booth, Brian W., et al.. (2015). Validation of an in vitro model of erbB2+ cancer cell redirection. In Vitro Cellular & Developmental Biology - Animal. 51(8). 776–786. 11 indexed citations
8.
Raafat, Ahmed, et al.. (2012). Differential Gene Expression in Nuclear Label-Retaining Cells in the Developing Mouse Mammary Gland. Stem Cells and Development. 22(8). 1297–1306. 8 indexed citations
9.
Seshadri, Vidya Devanathadesikan, et al.. (2011). Cell settling effects on a thermal inkjet bioprinter. PubMed. 2011. 3609–3612. 18 indexed citations
10.
Bussard, Karen M., Corinne A. Boulanger, Brian W. Booth, Robert D. Bruno, & Gilbert H. Smith. (2010). Reprogramming Human Cancer Cells in the Mouse Mammary Gland. Cancer Research. 70(15). 6336–6343. 82 indexed citations
11.
Booth, Brian W., Corinne A. Boulanger, L.H. Anderson, & Gilbert H. Smith. (2010). The normal mammary microenvironment suppresses the tumorigenic phenotype of mouse mammary tumor virus-neu-transformed mammary tumor cells. Oncogene. 30(6). 679–689. 61 indexed citations
12.
13.
Booth, Brian W., Corinne A. Boulanger, L.H. Anderson, et al.. (2009). Amphiregulin mediates self-renewal in an immortal mammary epithelial cell line with stem cell characteristics. Experimental Cell Research. 316(3). 422–432. 38 indexed citations
14.
Booth, Brian W., David L. Mack, Andreas Androutsellis‐Theotokis, et al.. (2008). The mammary microenvironment alters the differentiation repertoire of neural stem cells. Proceedings of the National Academy of Sciences. 105(39). 14891–14896. 110 indexed citations
15.
Booth, Brian W., et al.. (2007). IL-13-induced proliferation of airway epithelial cells: mediation by intracellular growth factor mobilization and ADAM17. Respiratory Research. 8(1). 51–51. 40 indexed citations
16.
Booth, Brian W. & Gilbert H. Smith. (2007). Roles of transforming growth factor-α in mammary development and disease. Growth Factors. 25(4). 227–235. 21 indexed citations
17.
Booth, Brian W., Corinne A. Boulanger, & Gilbert H. Smith. (2007). Alveolar progenitor cells develop in mouse mammary glands independent of pregnancy and lactation. Journal of Cellular Physiology. 212(3). 729–736. 55 indexed citations
18.
Booth, Brian W., Chamelli Jhappan, Glenn Merlino, & Gilbert H. Smith. (2006). TGFβ1 and TGFα contrarily affect alveolar survival and tumorigenesis in mouse mammary epithelium. International Journal of Cancer. 120(3). 493–499. 6 indexed citations
20.
Booth, Brian W., Dawn C. Newcomb, S. A. McKANE, et al.. (2003). Proliferation of the Airway Epithelium in Asthma. CHEST Journal. 123(3). 384S–385S. 6 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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