Christopher Ware

1.2k total citations
11 papers, 715 citations indexed

About

Christopher Ware is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Christopher Ware has authored 11 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Christopher Ware's work include Lung Cancer Treatments and Mutations (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer-related Molecular Pathways (2 papers). Christopher Ware is often cited by papers focused on Lung Cancer Treatments and Mutations (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer-related Molecular Pathways (2 papers). Christopher Ware collaborates with scholars based in United States, Italy and China. Christopher Ware's co-authors include John F. Reilly, Matthew J. Elrick, Andrew P. Lieberman, Victoria M. Richon, Pradip K. Majumder, Jennifer Tammam, Vikram G. Shakkottai, Ting Yu, Henry L. Paulson and Bart Lutterbach and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Christopher Ware

11 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Ware United States 10 380 192 164 122 73 11 715
George P. Souroullas United States 10 483 1.3× 150 0.8× 149 0.9× 46 0.4× 75 1.0× 22 781
Gary McIntosh United Kingdom 8 191 0.5× 249 1.3× 41 0.3× 77 0.6× 51 0.7× 9 491
Isil Guney United States 10 610 1.6× 216 1.1× 106 0.6× 147 1.2× 191 2.6× 12 819
Enjing Jin Japan 17 409 1.1× 115 0.6× 46 0.3× 149 1.2× 89 1.2× 28 737
Georgina P. Coló Argentina 16 406 1.1× 189 1.0× 42 0.3× 72 0.6× 120 1.6× 24 761
Magdalena Schlotter Germany 15 340 0.9× 136 0.7× 71 0.4× 36 0.3× 140 1.9× 20 665
Andrew Capen United States 9 511 1.3× 212 1.1× 29 0.2× 99 0.8× 89 1.2× 19 724
Ursula L. Harper United States 12 445 1.2× 191 1.0× 34 0.2× 234 1.9× 120 1.6× 14 723
Søren M. Johnson United States 5 192 0.5× 174 0.9× 61 0.4× 101 0.8× 47 0.6× 5 391
M Schena Italy 17 245 0.6× 225 1.2× 48 0.3× 62 0.5× 49 0.7× 34 893

Countries citing papers authored by Christopher Ware

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Ware

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Ware

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

All Works

11 of 11 papers shown
1.
Rothman, Sarah M., Keith Q. Tanis, Pallavi Gandhi, et al.. (2018). Human Alzheimer’s disease gene expression signatures and immune profile in APP mouse models: a discrete transcriptomic view of Aβ plaque pathology. Journal of Neuroinflammation. 15(1). 256–256. 30 indexed citations
2.
Ware, Christopher, et al.. (2014). FGFR2 Is Amplified in the NCI-H716 Colorectal Cancer Cell Line and Is Required for Growth and Survival. PLoS ONE. 9(6). e98515–e98515. 33 indexed citations
3.
Haines, Brian B., Jennifer O’Neil, Christopher Ware, et al.. (2014). Abstract 1677: Preclinical activity of Vintafolide/MK-8109 monotherapy and in combination with standard of care therapy in triple-negative breast cancer models. Cancer Research. 74(19_Supplement). 1677–1677. 1 indexed citations
4.
Fu, Rao, Nicole M. Yanjanin, Matthew J. Elrick, et al.. (2012). Apolipoprotein E genotype and neurological disease onset in Niemann–Pick disease, type C1. American Journal of Medical Genetics Part A. 158A(11). 2775–2780. 32 indexed citations
5.
Benedettini, Elisa, Lynette M. Sholl, Michael Peyton, et al.. (2010). Met Activation in Non-Small Cell Lung Cancer Is Associated with de Novo Resistance to EGFR Inhibitors and the Development of Brain Metastasis. American Journal Of Pathology. 177(1). 415–423. 139 indexed citations
6.
Efferson, Clay L., Christopher T. Winkelmann, Christopher Ware, et al.. (2010). Downregulation of Notch Pathway by a γ-Secretase Inhibitor Attenuates AKT/Mammalian Target of Rapamycin Signaling and Glucose Uptake in an ERBB2 Transgenic Breast Cancer Model. Cancer Research. 70(6). 2476–2484. 76 indexed citations
7.
Lu, Wei, Lenora J. Davis, Gaozhen Hang, et al.. (2009). Abstract #3714: In vitro and in vivo antitumor activities of MK-2206, a new allosteric Akt inhibitor. Cancer Research. 69. 3714–3714. 11 indexed citations
8.
Elrick, Matthew J., Ting Yu, Vikram G. Shakkottai, et al.. (2009). Conditional Niemann-Pick C mice demonstrate cell autonomous Purkinje cell neurodegeneration. Human Molecular Genetics. 19(5). 837–847. 114 indexed citations
9.
Cullion, Kathleen, Kyle Draheim, Nicole Hermance, et al.. (2009). Targeting the Notch1 and mTOR pathways in a mouse T-ALL model. Blood. 113(24). 6172–6181. 105 indexed citations
10.
Haines, Brian B., Mélissa Chénard, Raquel Sevilla, et al.. (2009). A Quantitative Volumetric Micro-Computed Tomography Method to Analyze Lung Tumors in Genetically Engineered Mouse Models. Neoplasia. 11(1). 39–47. 36 indexed citations
11.
Fantin, Valeria R., Andrey Loboda, Cloud P. Paweletz, et al.. (2008). Constitutive Activation of Signal Transducers and Activators of Transcription Predicts Vorinostat Resistance in Cutaneous T-Cell Lymphoma. Cancer Research. 68(10). 3785–3794. 138 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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