Christian M. Vidal

466 total citations
8 papers, 368 citations indexed

About

Christian M. Vidal is a scholar working on Oncology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Christian M. Vidal has authored 8 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Immunology and Allergy. Recurrent topics in Christian M. Vidal's work include Cell Adhesion Molecules Research (3 papers), Angiogenesis and VEGF in Cancer (2 papers) and Cancer-related Molecular Pathways (2 papers). Christian M. Vidal is often cited by papers focused on Cell Adhesion Molecules Research (3 papers), Angiogenesis and VEGF in Cancer (2 papers) and Cancer-related Molecular Pathways (2 papers). Christian M. Vidal collaborates with scholars based in United States and Argentina. Christian M. Vidal's co-authors include Irina M. Shapiro, Quentin G. Wright, Qunli Xu, David T. Weaver, Vihren N. Kolev, Jonathan A. Pachter, Jennifer E. Ring, Mahesh V. Padval, Joseph R. Testa and Yuwaraj Kadariya and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Christian M. Vidal

8 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christian M. Vidal United States	4	183	156	84	73	64	8	368
M W Büchler Switzerland	6	209 1.1×	216 1.4×	31 0.4×	85 1.2×	32 0.5×	9	456
Anthony G. Clementz United States	8	321 1.8×	220 1.4×	68 0.8×	48 0.7×	38 0.6×	9	497
Susan M. Kitchen-Goosen United States	12	230 1.3×	125 0.8×	153 1.8×	18 0.2×	37 0.6×	18	466
Leili Saeednejad Zanjani Iran	13	273 1.5×	201 1.3×	102 1.2×	22 0.3×	75 1.2×	37	497
Hye Jeong Oh South Korea	7	156 0.9×	198 1.3×	58 0.7×	65 0.9×	34 0.5×	14	381
María Giselle Peters Argentina	10	300 1.6×	177 1.1×	51 0.6×	23 0.3×	120 1.9×	17	469
Patricia A. Eisenach Germany	7	166 0.9×	226 1.4×	17 0.2×	32 0.4×	28 0.4×	7	327
Bhavesh Vaidya United States	6	168 0.9×	175 1.1×	34 0.4×	30 0.4×	43 0.7×	6	347
Turgut Dogruluk United States	7	233 1.3×	104 0.7×	81 1.0×	12 0.2×	29 0.5×	8	369
Hemangini H. Vora India	13	228 1.2×	260 1.7×	50 0.6×	17 0.2×	41 0.6×	35	496

Countries citing papers authored by Christian M. Vidal

Since Specialization

Citations

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

Fields of papers citing papers by Christian M. Vidal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian M. Vidal

This figure shows the co-authorship network connecting the top 25 collaborators of Christian M. Vidal. A scholar is included among the top collaborators of Christian M. Vidal 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 Christian M. Vidal. Christian M. Vidal 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

Bunin, Anna, Ann Marie Rossi, Matthew Welsch, et al.. (2019). A Novel Class of Bifunctional Immunotherapeutic That Exploits a Universal Antibody Binding Terminus (uABT) to Recruit Endogenous Antibodies to Cell Expressing CD38 Demonstrate In Vivo efficacy in Three Distinct Animal Models. Blood. 134(Supplement_1). 1820–1820. 3 indexed citations

Kolev, Vihren N., Winnie F. Tam, Quentin G. Wright, et al.. (2017). Inhibition of FAK kinase activity preferentially targets cancer stem cells. Oncotarget. 8(31). 51733–51747. 58 indexed citations

Kolev, Vihren N., Quentin G. Wright, Christian M. Vidal, et al.. (2014). PI3K/mTOR Dual Inhibitor VS-5584 Preferentially Targets Cancer Stem Cells. Cancer Research. 75(2). 446–455. 116 indexed citations

Shapiro, Irina M., Vihren N. Kolev, Christian M. Vidal, et al.. (2014). Merlin Deficiency Predicts FAK Inhibitor Sensitivity: A Synthetic Lethal Relationship. Science Translational Medicine. 6(237). 237ra68–237ra68. 183 indexed citations

Vidal, Christian M., Vihren N. Kolev, Quentin G. Wright, et al.. (2013). Abstract C271: FAK inhibitor defactinib (VS-6063) enhances the efficacy of paclitaxel and preferentially targets ovarian cancer stem cells.. Molecular Cancer Therapeutics. 12(11_Supplement). C271–C271. 2 indexed citations

Xu, Qunli, Vihren N. Kolev, Quentin G. Wright, et al.. (2013). Focal adhesion kinase (FAK) inhibitors VS-6063 and VS-4718 target cancer stem cells.. Journal of Clinical Oncology. 31(15_suppl). e13523–e13523. 2 indexed citations

Pachter, Jonathan A., Jennifer E. Ring, Christian M. Vidal, et al.. (2012). Abstract LB-194: The Wnt inhibitor VS-507 reduces cancer stem cell (CSC) function in vitro and tumorigenicity in mice. Cancer Research. 72(8_Supplement). LB–194. 1 indexed citations

Alsina, Angel, et al.. (2003). [Genital histoplasmosis. Presentation of a clinical case].. PubMed. 56(5). 462–6. 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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