Edmond M. Linossi

1.3k total citations
17 papers, 551 citations indexed

About

Edmond M. Linossi is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Edmond M. Linossi has authored 17 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Oncology and 4 papers in Pharmacology. Recurrent topics in Edmond M. Linossi's work include Cytokine Signaling Pathways and Interactions (10 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Melanoma and MAPK Pathways (3 papers). Edmond M. Linossi is often cited by papers focused on Cytokine Signaling Pathways and Interactions (10 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Melanoma and MAPK Pathways (3 papers). Edmond M. Linossi collaborates with scholars based in Australia, United States and Canada. Edmond M. Linossi's co-authors include Sandra E. Nicholson, Jeffrey J. Babon, Douglas J. Hilton, Dale J. Calleja, Nicos A. Nicola, Tatiana B. Kolesnik, Łukasz Kedzierski, Benjamin T. Kile, Donald Metcalf and Indu R. Chandrashekaran and has published in prestigious journals such as Nature Communications, PLoS ONE and Biochemistry.

In The Last Decade

Edmond M. Linossi

17 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edmond M. Linossi Australia 11 251 236 231 73 48 17 551
Michael J. Pattison United Kingdom 10 163 0.6× 259 1.1× 189 0.8× 68 0.9× 46 1.0× 12 563
Artem Laktyushin Australia 7 498 2.0× 401 1.7× 311 1.3× 93 1.3× 59 1.2× 11 863
Christine Frantz Canada 8 152 0.6× 98 0.4× 211 0.9× 40 0.5× 53 1.1× 9 453
Yana Li United States 11 120 0.5× 246 1.0× 337 1.5× 54 0.7× 38 0.8× 20 640
J E Darnell United States 8 256 1.0× 215 0.9× 264 1.1× 62 0.8× 66 1.4× 8 574
Lynda A. O’Sullivan Australia 6 201 0.8× 182 0.8× 132 0.6× 63 0.9× 33 0.7× 6 447
Tadahilo Oshida Japan 6 198 0.8× 280 1.2× 124 0.5× 25 0.3× 25 0.5× 7 477
Inmaculada Rioja United Kingdom 21 157 0.6× 267 1.1× 643 2.8× 38 0.5× 117 2.4× 39 1.1k
Anne Freimoser–Grundschober Switzerland 12 348 1.4× 229 1.0× 146 0.6× 50 0.7× 27 0.6× 28 625

Countries citing papers authored by Edmond M. Linossi

Since Specialization
Citations

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

Fields of papers citing papers by Edmond M. Linossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edmond M. Linossi. 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 Edmond M. Linossi. The network helps show where Edmond M. Linossi may publish in the future.

Co-authorship network of co-authors of Edmond M. Linossi

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

All Works

17 of 17 papers shown
1.
Linossi, Edmond M., J. N. K. Rao, Christian B. Macdonald, et al.. (2025). Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning. eLife. 13. 1 indexed citations
2.
Linossi, Edmond M., J. N. K. Rao, Christian B. Macdonald, et al.. (2024). Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning. eLife. 13. 3 indexed citations
3.
Linossi, Edmond M., Christian B. Macdonald, Jennifer M. Michaud, et al.. (2023). Conserved regulatory motifs in the juxtamembrane domain and kinase N-lobe revealed through deep mutational scanning of the MET receptor tyrosine kinase domain. eLife. 12. 6 indexed citations
4.
Linossi, Edmond M., et al.. (2021). State of the structure address on MET receptor activation by HGF. Biochemical Society Transactions. 49(2). 645–661. 11 indexed citations
5.
Linossi, Edmond M., Kunlun Li, Gianluca Veggiani, et al.. (2021). Discovery of an exosite on the SOCS2-SH2 domain that enhances SH2 binding to phosphorylated ligands. Nature Communications. 12(1). 7032–7032. 14 indexed citations
6.
Joly, Nicolas, Edmond M. Linossi, Natalia Jura, et al.. (2021). A survey of the kinome pharmacopeia reveals multiple scaffolds and targets for the development of novel anthelmintics. Scientific Reports. 11(1). 9161–9161. 9 indexed citations
7.
Linossi, Edmond M., Dale J. Calleja, & Sandra E. Nicholson. (2018). Understanding SOCS protein specificity. Growth Factors. 36(3-4). 104–117. 41 indexed citations
8.
D’Cruz, Akshay A., Nadia J. Kershaw, Thomas J. Hayman, et al.. (2017). Identification of a second binding site on the TRIM25 B30.2 domain. Biochemical Journal. 475(2). 429–440. 9 indexed citations
9.
Krebs, Danielle L., Edmond M. Linossi, Jian‐Guo Zhang, et al.. (2015). Cortical Layer Inversion and Deregulation of Reelin Signaling in the Absence of SOCS6 and SOCS7. Cerebral Cortex. 27(1). bhv253–bhv253. 15 indexed citations
10.
Linossi, Edmond M. & Sandra E. Nicholson. (2015). Kinase inhibition, competitive binding and proteasomal degradation: resolving the molecular function of the suppressor of cytokine signaling (SOCS) proteins. Immunological Reviews. 266(1). 123–133. 62 indexed citations
11.
Chandrashekaran, Indu R., Biswaranjan Mohanty, Edmond M. Linossi, et al.. (2015). Structure and Functional Characterization of the Conserved JAK Interaction Region in the Intrinsically Disordered N-Terminus of SOCS5. Biochemistry. 54(30). 4672–4682. 17 indexed citations
12.
Kedzierski, Łukasz, Edmond M. Linossi, Tatiana B. Kolesnik, et al.. (2014). Suppressor of Cytokine Signaling 4 (SOCS4) Protects against Severe Cytokine Storm and Enhances Viral Clearance during Influenza Infection. PLoS Pathogens. 10(5). e1004134–e1004134. 54 indexed citations
13.
Liu, Xiao, Ben A. Croker, Ian K. Campbell, et al.. (2014). Key Role of Suppressor of Cytokine Signaling 3 in Regulating gp130 Cytokine–Induced Signaling and Limiting Chondrocyte Responses During Murine Inflammatory Arthritis. Arthritis & Rheumatology. 66(9). 2391–2402. 26 indexed citations
14.
Linossi, Edmond M., Indu R. Chandrashekaran, Tatiana B. Kolesnik, et al.. (2013). Suppressor of Cytokine Signaling (SOCS) 5 Utilises Distinct Domains for Regulation of JAK1 and Interaction with the Adaptor Protein Shc-1. PLoS ONE. 8(8). e70536–e70536. 36 indexed citations
15.
Linossi, Edmond M., Jeffrey J. Babon, Douglas J. Hilton, & Sandra E. Nicholson. (2013). Suppression of cytokine signaling: The SOCS perspective. Cytokine & Growth Factor Reviews. 24(3). 241–248. 146 indexed citations
16.
Linossi, Edmond M. & Sandra E. Nicholson. (2012). The SOCS box—Adapting proteins for ubiquitination and proteasomal degradation. IUBMB Life. 64(4). 316–323. 98 indexed citations
17.
Linossi, Edmond M. & Sandra E. Nicholson. (2012). The socs box—adapting proteins for ubiquitination and proteasomal degradation. IUBMB Life. 64(4). 3 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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