Martin A. Broome

2.1k total citations · 1 hit paper
13 papers, 1.8k citations indexed

About

Martin A. Broome is a scholar working on Molecular Biology, Oncology and Immunology and Allergy. According to data from OpenAlex, Martin A. Broome has authored 13 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Immunology and Allergy. Recurrent topics in Martin A. Broome's work include Protein Kinase Regulation and GTPase Signaling (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers) and Liver physiology and pathology (3 papers). Martin A. Broome is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers) and Liver physiology and pathology (3 papers). Martin A. Broome collaborates with scholars based in United States. Martin A. Broome's co-authors include Tony Hunter, Sara A. Courtneidge, David D. Schlaepfer, Robert A. Blake, Li Sun, Mikhail L. Gishizky, Jianming Wu, Xiangdong Liu, Rosalyn Irby and Timothy J. Yeatman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Martin A. Broome

13 papers receiving 1.7k citations

Hit Papers

SU6656, a Selective Src Family Kinase Inhibitor, Used To ... 2000 2026 2008 2017 2000 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. SU6656, a Selective Src Family Kinase Inhibitor, Used To Probe Growth Factor Signaling
    2000 520 citations Robert A. Blake, Martin A. Broome et al. Molecular and Cellular Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin A. Broome United States 11 1.1k 585 410 389 248 13 1.8k
Florian J. Sulzmaier United States 16 959 0.8× 492 0.8× 426 1.0× 370 1.0× 204 0.8× 25 1.7k
Carina Hellberg Sweden 24 1.4k 1.3× 346 0.6× 236 0.6× 303 0.8× 557 2.2× 35 2.0k
Jeffrey D. Bjorge Canada 20 1.5k 1.3× 493 0.8× 142 0.3× 278 0.7× 328 1.3× 32 1.9k
Azucena Esparís‐Ogando Spain 27 1.3k 1.2× 861 1.5× 229 0.6× 198 0.5× 171 0.7× 45 2.0k
Jie Leng United States 8 1.5k 1.3× 390 0.7× 898 2.2× 911 2.3× 221 0.9× 8 2.3k
Virginia Gray Canada 13 1.7k 1.5× 310 0.5× 1.1k 2.6× 666 1.7× 314 1.3× 13 2.5k
Armelle A. Troussard Canada 16 1.7k 1.5× 545 0.9× 1.1k 2.7× 596 1.5× 283 1.1× 19 2.7k
Eva Grönroos United Kingdom 21 1.5k 1.3× 571 1.0× 171 0.4× 393 1.0× 206 0.8× 29 2.2k
Robin E. Bachelder United States 22 1.7k 1.5× 1.2k 2.0× 442 1.1× 297 0.8× 320 1.3× 37 2.6k
Sharon Banin United Kingdom 8 1.6k 1.4× 1.0k 1.8× 164 0.4× 398 1.0× 153 0.6× 11 2.0k

Countries citing papers authored by Martin A. Broome

Since Specialization
Citations

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

Fields of papers citing papers by Martin A. Broome

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin A. Broome. 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 Martin A. Broome. The network helps show where Martin A. Broome may publish in the future.

Co-authorship network of co-authors of Martin A. Broome

This figure shows the co-authorship network connecting the top 25 collaborators of Martin A. Broome. A scholar is included among the top collaborators of Martin A. Broome 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 Martin A. Broome. Martin A. Broome is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Hughes, Paul E., Karen Rex, Sean Caenepeel, et al.. (2016). In Vitro and In Vivo Activity of AMG 337, a Potent and Selective MET Kinase Inhibitor, in MET-Dependent Cancer Models. Molecular Cancer Therapeutics. 15(7). 1568–1579. 44 indexed citations
2.
Hughes, Paul E., Yajing Yang, Karen Rex, et al.. (2014). Abstract 728: AMG 337, a novel, potent and selective MET kinase inhibitor, has robust growth inhibitory activity in MET-dependent cancer models. Cancer Research. 74(19_Supplement). 728–728. 6 indexed citations
3.
Bode, Christiane, Alessandro A. Boezio, Brian K. Albrecht, et al.. (2012). Discovery and optimization of a potent and selective triazolopyridinone series of c-Met inhibitors. Bioorganic & Medicinal Chemistry Letters. 22(12). 4089–4093. 16 indexed citations
4.
Carnahan, Josette, Pedro J. Beltran, Carol Babij, et al.. (2010). Selective and Potent Raf Inhibitors Paradoxically Stimulate Normal Cell Proliferation and Tumor Growth. Molecular Cancer Therapeutics. 9(8). 2399–2410. 58 indexed citations
5.
Carnahan, Josette, Pedro J. Beltran, Carol Babij, et al.. (2010). Abstract 21: Selective and potent inhibitors of the mutant B-Raf pathway paradoxically stimulate the MAPK pathway in wild-type B-Raf cells. Cancer Research. 70(8_Supplement). 21–21. 2 indexed citations
6.
Laird, Alexander, Guangmin Li, Katherine G. Moss, et al.. (2003). Src family kinase activity is required for signal tranducer and activator of transcription 3 and focal adhesion kinase phosphorylation and vascular endothelial growth factor signaling in vivo and for anchorage-dependent and -independent growth of human tumor cells.. PubMed. 2(5). 461–9. 92 indexed citations
7.
Bowman, Tammy, Martin A. Broome, Dominic Sinibaldi, et al.. (2001). Stat3-mediated Myc expression is required for Src transformation and PDGF-induced mitogenesis. Proceedings of the National Academy of Sciences. 98(13). 7319–7324. 408 indexed citations
8.
Broome, Martin A. & Sara A. Courtneidge. (2000). No requirement for Src family kinases for PDGF signaling in fibroblasts expressing SV40 large T antigen. Oncogene. 19(24). 2867–2869. 41 indexed citations
9.
Blake, Robert A., Martin A. Broome, Xiangdong Liu, et al.. (2000). SU6656, a Selective Src Family Kinase Inhibitor, Used To Probe Growth Factor Signaling. Molecular and Cellular Biology. 20(23). 9018–9027. 520 indexed citations breakdown →
10.
Broome, Martin A., María L. Galisteo, Joseph Schlessinger, & Sara A. Courtneidge. (1999). The proto-oncogene c-Cbl is a negative regulator of DNA synthesis initiated by both receptor and cytoplasmic tyrosine kinases. Oncogene. 18(18). 2908–2912. 23 indexed citations
11.
Schlaepfer, David D., Martin A. Broome, & Tony Hunter. (1997). Fibronectin-Stimulated Signaling from a Focal Adhesion Kinase–c-Src Complex: Involvement of the Grb2, p130 cas , and Nck Adaptor Proteins. Molecular and Cellular Biology. 17(3). 1702–1713. 390 indexed citations
12.
Broome, Martin A. & Tony Hunter. (1997). The PDGF receptor phosphorylates Tyr 138 in the c-Src SH3 domain in vivo reducing peptide ligand binding. Oncogene. 14(1). 17–34. 42 indexed citations
13.
Broome, Martin A. & Tony Hunter. (1996). Requirement for c-Src Catalytic Activity and the SH3 Domain in Platelet-derived Growth Factor BB and Epidermal Growth Factor Mitogenic Signaling. Journal of Biological Chemistry. 271(28). 16798–16806. 116 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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