José La Rose

1.6k total citations
22 papers, 1.2k citations indexed

About

José La Rose is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, José La Rose has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 9 papers in Molecular Biology and 9 papers in Immunology. Recurrent topics in José La Rose's work include T-cell and B-cell Immunology (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Immune Cell Function and Interaction (4 papers). José La Rose is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Immune Cell Function and Interaction (4 papers). José La Rose collaborates with scholars based in Canada, United States and United Kingdom. José La Rose's co-authors include Robert Rottapel, Subburaj Ilangumaran, Klaus Okkenhaug, Paulo De Sepulveda, Patrice Dubreuil, Robert G. Hawley, Linda Wu, Perry M. Chan, Avijit Chakrabartty and Ioannis D. Dimitriou and has published in prestigious journals such as Cell, Journal of Clinical Investigation and The Journal of Cell Biology.

In The Last Decade

José La Rose

22 papers receiving 1.2k citations

Peers

José La Rose
Seong Hoe Park South Korea
AL Mui Canada
Lixin Rui United States
Hyeong-Reh Choi Kim United States
Thomas Jamieson United Kingdom
Ami Goradia United States
Seong Hoe Park South Korea
José La Rose
Citations per year, relative to José La Rose José La Rose (= 1×) peers Seong Hoe Park

Countries citing papers authored by José La Rose

Since Specialization
Citations

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

Fields of papers citing papers by José La Rose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José La Rose. 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 José La Rose. The network helps show where José La Rose may publish in the future.

Co-authorship network of co-authors of José La Rose

This figure shows the co-authorship network connecting the top 25 collaborators of José La Rose. A scholar is included among the top collaborators of José La Rose 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 José La Rose. José La Rose 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.
Matsumoto, Yoshinori, Ioannis D. Dimitriou, José La Rose, et al.. (2022). Tankyrase represses autoinflammation through the attenuation of TLR2 signaling. Journal of Clinical Investigation. 132(7). 6 indexed citations
2.
Wong, Nicholas, Laura de Rooij, Cailin E. Joyce, et al.. (2021). Arhgef2 regulates mitotic spindle orientation in hematopoietic stem cells and is essential for productive hematopoiesis. Blood Advances. 5(16). 3120–3133. 5 indexed citations
3.
Burston, Helen E., Oliver A. Kent, Laudine Communal, et al.. (2021). Inhibition of relaxin autocrine signaling confers therapeutic vulnerability in ovarian cancer. Journal of Clinical Investigation. 131(7). 20 indexed citations
4.
Asano, Yosuke, Yoshinori Matsumoto, José La Rose, et al.. (2021). Endonuclease increases efficiency of osteoblast isolation from murine calvariae. Scientific Reports. 11(1). 8502–8502. 2 indexed citations
5.
Matsumoto, Yoshinori, Yosuke Asano, Takayuki Katsuyama, et al.. (2021). RUNX2 Phosphorylation by Tyrosine Kinase ABL Promotes Breast Cancer Invasion. Frontiers in Oncology. 11. 8 indexed citations
6.
Fine, Noah, Eric Gracey, Ioannis D. Dimitriou, et al.. (2020). GEF-H1 Is Required for Colchicine Inhibition of Neutrophil Rolling and Recruitment in Mouse Models of Gout. The Journal of Immunology. 205(12). 3300–3310. 8 indexed citations
7.
Krzyzanowski, Paul M., Fabrice Sircoulomb, Fouad Yousif, et al.. (2019). Regional perturbation of gene transcription is associated with intrachromosomal rearrangements and gene fusion transcripts in high grade ovarian cancer. Scientific Reports. 9(1). 3590–3590. 7 indexed citations
8.
Matsumoto, Yoshinori, José La Rose, Melissa Lim, et al.. (2017). Ubiquitin ligase RNF146 coordinates bone dynamics and energy metabolism. Journal of Clinical Investigation. 127(7). 2612–2625. 36 indexed citations
9.
Fine, Noah, Ioannis D. Dimitriou, María José Sandí, et al.. (2016). GEF-H1 is necessary for neutrophil shear stress–induced migration during inflammation. The Journal of Cell Biology. 215(1). 107–119. 38 indexed citations
10.
Levaot, Noam, Oleksandr Voytyuk, Ioannis D. Dimitriou, et al.. (2011). Loss of Tankyrase-Mediated Destruction of 3BP2 Is the Underlying Pathogenic Mechanism of Cherubism. Cell. 147(6). 1324–1339. 150 indexed citations
11.
Levaot, Noam, Paul D. Simoncic, Ioannis D. Dimitriou, et al.. (2011). 3BP2-deficient mice are osteoporotic with impaired osteoblast and osteoclast functions. Journal of Clinical Investigation. 121(8). 3244–3257. 58 indexed citations
12.
Chen, Grace, Ioannis D. Dimitriou, José La Rose, et al.. (2007). The 3BP2 Adapter Protein Is Required for Optimal B-Cell Activation and Thymus-Independent Type 2 Humoral Response. Molecular and Cellular Biology. 27(8). 3109–3122. 43 indexed citations
13.
Wu, Linda, José La Rose, Chris Neale, et al.. (2005). CD28 Regulates the Translation of Bcl-xL via the Phosphatidylinositol 3-Kinase/Mammalian Target of Rapamycin Pathway. The Journal of Immunology. 174(1). 180–194. 54 indexed citations
14.
Ilangumaran, Subburaj, et al.. (2003). Suppressor of cytokine signaling 1 attenuates IL-15 receptor signaling in CD8+ thymocytes. Blood. 102(12). 4115–4122. 40 indexed citations
15.
Ilangumaran, Subburaj, Sheela Ramanathan, José La Rose, Philippe Poussier, & Robert Rottapel. (2003). Suppressor of Cytokine Signaling 1 Regulates IL-15 Receptor Signaling in CD8+CD44high Memory T Lymphocytes. The Journal of Immunology. 171(5). 2435–2445. 61 indexed citations
16.
Chan, Perry M., Subburaj Ilangumaran, José La Rose, Avijit Chakrabartty, & Robert Rottapel. (2003). Autoinhibition of the Kit Receptor Tyrosine Kinase by the Cytosolic Juxtamembrane Region. Molecular and Cellular Biology. 23(9). 3067–3078. 124 indexed citations
17.
Ilangumaran, Subburaj, Dina Finan, José La Rose, et al.. (2002). A Positive Regulatory Role for Suppressor of Cytokine Signaling 1 in IFN-γ-Induced MHC Class II Expression in Fibroblasts. The Journal of Immunology. 169(9). 5010–5020. 24 indexed citations
18.
Rottapel, Robert, Subburaj Ilangumaran, Chris Neale, et al.. (2002). The tumor suppressor activity of SOCS-1. Oncogene. 21(28). 4351–4362. 111 indexed citations
19.
Okkenhaug, Klaus, Linda Wu, Kristine M. Garza, et al.. (2001). A point mutation in CD28 distinguishes proliferative signals from survival signals. Nature Immunology. 2(4). 325–332. 169 indexed citations
20.
Sepulveda, Paulo De, Klaus Okkenhaug, José La Rose, et al.. (1999). Socs1 binds to multiple signalling proteins and suppresses Steel factor-dependent proliferation. The EMBO Journal. 18(4). 904–915. 179 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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