Anie Monast

1.1k total citations
10 papers, 566 citations indexed

About

Anie Monast is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Anie Monast has authored 10 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Anie Monast's work include Microtubule and mitosis dynamics (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Anie Monast is often cited by papers focused on Microtubule and mitosis dynamics (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Anie Monast collaborates with scholars based in Canada, United States and Croatia. Anie Monast's co-authors include Morag Park, Peter M. Siegel, Veena Sangwan, Matthew G. Annis, Sébastien Tabariès, Michel L. Tremblay, Jasmine V. Abella, Nadia Dubé, Grigorios Paliouras and Emily Bell and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Molecular and Cellular Biology.

In The Last Decade

Anie Monast

10 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anie Monast Canada	10	290	190	189	97	71	10	566
Elise Langenkamp Netherlands	8	337 1.2×	162 0.9×	197 1.0×	152 1.6×	35 0.5×	9	594
Qingqing Ding United States	10	406 1.4×	108 0.6×	350 1.9×	106 1.1×	61 0.9×	34	732
Maxim Sidorov United States	7	182 0.6×	113 0.6×	117 0.6×	72 0.7×	35 0.5×	9	328
Christian Werno Germany	9	331 1.1×	183 1.0×	127 0.7×	246 2.5×	63 0.9×	14	569
Bingsheng Sun China	13	217 0.7×	51 0.3×	128 0.7×	136 1.4×	26 0.4×	24	481
Jian‐Guo Geng United States	8	200 0.7×	109 0.6×	91 0.5×	68 0.7×	38 0.5×	16	420
Sylvie Richelme France	14	408 1.4×	559 2.9×	166 0.9×	93 1.0×	31 0.4×	19	1.0k
Victoria L. Bridgeman United Kingdom	9	334 1.2×	156 0.8×	233 1.2×	132 1.4×	131 1.8×	13	626
Frank J.G. Scherpen Netherlands	14	363 1.3×	89 0.5×	146 0.8×	96 1.0×	41 0.6×	33	592
Almudena Santos United Kingdom	5	275 0.9×	332 1.7×	439 2.3×	166 1.7×	24 0.3×	6	734

Countries citing papers authored by Anie Monast

Since Specialization

Citations

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

Fields of papers citing papers by Anie Monast

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anie Monast

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

All Works

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10 of 10 papers shown

Monast, Anie, Benoit Fiset, Zhong Yao, et al.. (2022). Met–HER3 crosstalk supports proliferation via MPZL3 in MET-amplified cancer cells. Cellular and Molecular Life Sciences. 79(3). 178–178. 9 indexed citations

Johnson, Radia Marie, Sadiq M.I. Saleh, Paul Savage, et al.. (2021). Co-dependency for MET and FGFR1 in basal triple-negative breast cancers. npj Breast Cancer. 7(1). 36–36. 11 indexed citations

Kong, Tim, Yibo Xue, Regina Cencic, et al.. (2019). eIF4A Inhibitors Suppress Cell-Cycle Feedback Response and Acquired Resistance to CDK4/6 Inhibition in Cancer. Molecular Cancer Therapeutics. 18(11). 2158–2170. 33 indexed citations

Hsu, Brian E., Sébastien Tabariès, Radia Marie Johnson, et al.. (2019). Immature Low-Density Neutrophils Exhibit Metabolic Flexibility that Facilitates Breast Cancer Liver Metastasis. Cell Reports. 27(13). 3902–3915.e6. 161 indexed citations

Rajadurai, Charles Vincent, Paula P. Coelho, Colin D.H. Ratcliffe, et al.. (2016). 5′-Inositol phosphatase SHIP2 recruits Mena to stabilize invadopodia for cancer cell invasion. The Journal of Cell Biology. 214(6). 719–734. 26 indexed citations

Ioannou, Maria S., Emily Bell, Martine Girard, et al.. (2015). DENND2B activates Rab13 at the leading edge of migrating cells and promotes metastatic behavior. The Journal of Cell Biology. 208(5). 629–648. 64 indexed citations

Lai, Andrea, Sean Cory, Hong Zhao, et al.. (2014). Dynamic Reprogramming of Signaling Upon Met Inhibition Reveals a Mechanism of Drug Resistance in Gastric Cancer. Science Signaling. 7(322). ra38–ra38. 34 indexed citations

Tabariès, Sébastien, Fanny Dupuy, Zhifeng Dong, et al.. (2012). Claudin-2 Promotes Breast Cancer Liver Metastasis by Facilitating Tumor Cell Interactions with Hepatocytes. Molecular and Cellular Biology. 32(15). 2979–2991. 93 indexed citations

Bell, Emily, Charles Vincent Rajadurai, Sean Cory, et al.. (2012). Crk adaptor proteins act as key signaling integrators for breast tumorigenesis. Breast Cancer Research. 14(3). R74–R74. 50 indexed citations

10.

Sangwan, Veena, Grigorios Paliouras, Jasmine V. Abella, et al.. (2008). Regulation of the Met Receptor-tyrosine Kinase by the Protein-tyrosine Phosphatase 1B and T-cell Phosphatase. Journal of Biological Chemistry. 283(49). 34374–34383. 85 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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