Leanne Ross

462 total citations
2 papers, 155 citations indexed

About

Leanne Ross is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Leanne Ross has authored 2 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Genetics and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Leanne Ross's work include PI3K/AKT/mTOR signaling in cancer (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper) and Lung Cancer Treatments and Mutations (1 paper). Leanne Ross is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper) and Lung Cancer Treatments and Mutations (1 paper). Leanne Ross collaborates with scholars based in France. Leanne Ross's co-authors include Lori S. Friedman, Carol O’Brien, Jane Fridlyand, Hartmut Koeppen, Ling Huw, David S. Shames, Lukas C. Amler, Ajay Pandita, Deepak Sampath and Sankar Mohan and has published in prestigious journals such as Clinical Cancer Research and Cancer Letters.

In The Last Decade

Leanne Ross

2 papers receiving 152 citations

Peers

Countries citing papers authored by Leanne Ross

Since Specialization

Citations

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

Fields of papers citing papers by Leanne Ross

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leanne Ross

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

All Works

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2 of 2 papers shown

#	Work	Indexed citations
1	Phosphoinositide 3-Kinase (PI3K) Pathway Alterations Are Associated with Histologic Subtypes and Are Predictive of Sensitivity to PI3K Inhibitors in Lung Cancer Preclinical Models 2012 ·Clinical Cancer Research ·Jill M. Spoerke, Carol O’Brien, Ling Huw, Hartmut Koeppen, Jane Fridlyand, Rainer K. Brachmann, Peter M. Haverty, Ajay Pandita, Sankar Mohan, Deepak Sampath, Lori S. Friedman, Leanne Ross, Garret M. Hampton, Lukas C. Amler, David S. Shames, Mark R. Lackner	149
2	mTOR kinase inhibitor potentiates apoptosis of PI3K and MEK inhibitors in diagnostically defined subpopulations 2012 ·Cancer Letters ·Ulka Vijapurkar, Liliane Robillard, (unknown), Michael Degtyarev, Kwang‐Huei Lin, Tom Truong, Jarrod R. Tremayne, Leanne Ross, Zhonghua Pei, Lori S. Friedman, Elizabeth M. Blackwood, Marcia Belvin	6

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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