Robin D. Lester

1.2k total citations
8 papers, 970 citations indexed

About

Robin D. Lester is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Robin D. Lester has authored 8 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 5 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Robin D. Lester's work include Cancer, Hypoxia, and Metabolism (5 papers), Protease and Inhibitor Mechanisms (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). Robin D. Lester is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Protease and Inhibitor Mechanisms (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). Robin D. Lester collaborates with scholars based in United States. Robin D. Lester's co-authors include Steven L. Gonias, Valérie Montel, Minji Jo, Shinako Takimoto, Richard Klemke, Konstantin Stoletov, W. Marie Campana, Alban Gaultier, Tiffany Liu and Gene Hsiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Robin D. Lester

8 papers receiving 956 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robin D. Lester United States	8	498	391	368	252	142	8	970
Weili Fu United States	11	272 0.5×	207 0.5×	327 0.9×	128 0.5×	86 0.6×	14	754
Shinako Takimoto United States	14	386 0.8×	356 0.9×	331 0.9×	85 0.3×	86 0.6×	18	903
Kimita Suyama United States	11	933 1.9×	214 0.5×	445 1.2×	276 1.1×	84 0.6×	18	1.3k
Rui Fang Qiao United States	11	999 2.0×	201 0.5×	360 1.0×	183 0.7×	83 0.6×	12	1.3k
T.S. Karin Eisinger‐Mathason United States	20	761 1.5×	465 1.2×	392 1.1×	227 0.9×	214 1.5×	30	1.3k
Michael Papetti United States	10	637 1.3×	216 0.6×	172 0.5×	83 0.3×	101 0.7×	11	968
Julie S. Di Martino United States	14	367 0.7×	184 0.5×	285 0.8×	285 1.1×	117 0.8×	21	861
Mavis S. Fletcher United States	15	891 1.8×	531 1.4×	534 1.5×	215 0.9×	251 1.8×	21	1.6k
Ze’ev Gechtman Israel	11	655 1.3×	201 0.5×	300 0.8×	119 0.5×	71 0.5×	14	924
Grace Martin United States	6	623 1.3×	275 0.7×	201 0.5×	116 0.5×	73 0.5×	9	909

Countries citing papers authored by Robin D. Lester

Since Specialization

Citations

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

Fields of papers citing papers by Robin D. Lester

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robin D. Lester. 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 Robin D. Lester. The network helps show where Robin D. Lester may publish in the future.

Co-authorship network of co-authors of Robin D. Lester

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

All Works

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8 of 8 papers shown

Liu, Tiffany, Valérie Montel, Gene Hsiao, et al.. (2009). Chemoattractant Signaling between Tumor Cells and Macrophages Regulates Cancer Cell Migration, Metastasis and Neovascularization. PLoS ONE. 4(8). e6713–e6713. 114 indexed citations

Jo, Minji, et al.. (2009). Reversibility of Epithelial-Mesenchymal Transition (EMT) Induced in Breast Cancer Cells by Activation of Urokinase Receptor-dependent Cell Signaling. Journal of Biological Chemistry. 284(34). 22825–22833. 148 indexed citations

Stoletov, Konstantin, Valérie Montel, Robin D. Lester, Steven L. Gonias, & Richard Klemke. (2007). High-resolution imaging of the dynamic tumor cell–vascular interface in transparent zebrafish. Proceedings of the National Academy of Sciences. 104(44). 17406–17411. 264 indexed citations

Lester, Robin D., Minji Jo, Valérie Montel, Shinako Takimoto, & Steven L. Gonias. (2007). uPAR induces epithelial–mesenchymal transition in hypoxic breast cancer cells. The Journal of Cell Biology. 178(3). 425–436. 212 indexed citations

Lester, Robin D., et al.. (2007). uPAR induces epithelial-mesenchymal transition in hypoxic breast cancer cells. The Journal of Experimental Medicine. 204(8). i21–i21. 9 indexed citations

Montel, Valérie, Alban Gaultier, Robin D. Lester, W. Marie Campana, & Steven L. Gonias. (2007). The Low-Density Lipoprotein Receptor–Related Protein Regulates Cancer Cell Survival and Metastasis Development. Cancer Research. 67(20). 9817–9824. 65 indexed citations

Thomas, Keena S., et al.. (2006). Urokinase receptor primes cells to proliferate in response to epidermal growth factor. Oncogene. 26(18). 2585–2594. 48 indexed citations

Lester, Robin D., Minji Jo, W. Marie Campana, & Steven L. Gonias. (2005). Erythropoietin Promotes MCF-7 Breast Cancer Cell Migration by an ERK/Mitogen-activated Protein Kinase-dependent Pathway and Is Primarily Responsible for the Increase in Migration Observed in Hypoxia. Journal of Biological Chemistry. 280(47). 39273–39277. 110 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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