Gino Laberge

439 total citations
9 papers, 365 citations indexed

About

Gino Laberge is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Gino Laberge has authored 9 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Gino Laberge's work include Bone health and treatments (3 papers), Bone Metabolism and Diseases (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Gino Laberge is often cited by papers focused on Bone health and treatments (3 papers), Bone Metabolism and Diseases (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Gino Laberge collaborates with scholars based in Canada. Gino Laberge's co-authors include Mélanie Douziech, Marc Therrien, David Ferland-McCollough, Martine Bisson, Sophie Roux, Malha Sahmi, Guillaume Grenier, Nathalie Faucheux, David Fong and Estelle Chamoux and has published in prestigious journals such as Genes & Development, The EMBO Journal and Scientific Reports.

In The Last Decade

Gino Laberge

9 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gino Laberge Canada	8	312	74	70	42	36	9	365
Gergana Galabova‐Kovacs Austria	7	359 1.2×	92 1.2×	67 1.0×	66 1.6×	50 1.4×	8	474
Laura Wolgamott United States	6	293 0.9×	62 0.8×	64 0.9×	21 0.5×	25 0.7×	8	365
Cara Jamieson Australia	10	387 1.2×	87 1.2×	79 1.1×	29 0.7×	23 0.6×	13	479
Moritz Menzel Germany	7	236 0.8×	61 0.8×	39 0.6×	20 0.5×	45 1.3×	9	339
Maria Sepe Italy	9	257 0.8×	35 0.5×	86 1.2×	18 0.4×	16 0.4×	9	338
Irma Gresshoff Australia	7	179 0.6×	65 0.9×	61 0.9×	24 0.6×	16 0.4×	7	364
Zonghou Shen China	12	333 1.1×	40 0.5×	56 0.8×	22 0.5×	53 1.5×	20	417
Tracy M. Covey United States	7	430 1.4×	76 1.0×	53 0.8×	14 0.3×	40 1.1×	9	525
Hsiang-Hao Chuang Taiwan	10	247 0.8×	84 1.1×	69 1.0×	15 0.4×	49 1.4×	16	360
Katie Ridd United States	9	241 0.8×	109 1.5×	72 1.0×	23 0.5×	33 0.9×	12	339

Countries citing papers authored by Gino Laberge

Since Specialization

Citations

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

Fields of papers citing papers by Gino Laberge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gino Laberge. 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 Gino Laberge. The network helps show where Gino Laberge may publish in the future.

Co-authorship network of co-authors of Gino Laberge

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

All Works

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9 of 9 papers shown

1.

Baril, Caroline, Gino Laberge, Gawa Bidla, et al.. (2021). A genetic screen in Drosophila uncovers the multifaceted properties of the NUP98-HOXA9 oncogene. PLoS Genetics. 17(8). e1009730–e1009730. 2 indexed citations

2.

Laberge, Gino, et al.. (2018). ADAP1 limits neonatal cardiomyocyte hypertrophy by reducing integrin cell surface expression. Scientific Reports. 8(1). 13605–13605. 11 indexed citations

3.

Klinck, Roscoe, Gino Laberge, Martine Bisson, et al.. (2014). Alternative splicing in osteoclasts and Paget’s disease of bone. BMC Medical Genetics. 15(1). 98–98. 19 indexed citations

4.

Fong, David, Martine Bisson, Gino Laberge, et al.. (2013). Bone morphogenetic protein-9 activates Smad and ERK pathways and supports human osteoclast function and survival in vitro. Cellular Signalling. 25(4). 717–728. 42 indexed citations

5.

Chamoux, Estelle, et al.. (2012). Involvement of kinase PKC-zeta in the p62/p62P392L-driven activation of NF-κB in human osteoclasts. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1832(3). 475–484. 18 indexed citations

6.

Douziech, Mélanie, Malha Sahmi, Gino Laberge, & Marc Therrien. (2006). A KSR/CNK complex mediated by HYP, a novel SAM domain-containing protein, regulates RAS-dependent RAF activation in Drosophila. Genes & Development. 20(7). 807–819. 49 indexed citations

7.

Laberge, Gino, Mélanie Douziech, & Marc Therrien. (2005). Src42 binding activity regulates Drosophila RAF by a novel CNK‐dependent derepression mechanism. The EMBO Journal. 24(3). 487–498. 24 indexed citations

8.

Laberge, Gino, et al.. (2002). KSR is a scaffold required for activation of the ERK/MAPK module. Genes & Development. 16(4). 427–438. 182 indexed citations

9.

Douziech, Mélanie, Gino Laberge, Gilles Grondin, Nathalie Daigle, & Richard Blouin. (1999). Localization of the Mixed-lineage Kinase DLK/MUK/ZPK to the Golgi Apparatus in NIH 3T3 Cells. Journal of Histochemistry & Cytochemistry. 47(10). 1287–1296. 18 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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