Caitlin D. Lowery

470 total citations
11 papers, 236 citations indexed

About

Caitlin D. Lowery is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Caitlin D. Lowery has authored 11 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Pulmonary and Respiratory Medicine and 3 papers in Molecular Biology. Recurrent topics in Caitlin D. Lowery's work include Sarcoma Diagnosis and Treatment (3 papers), Cancer-related Molecular Pathways (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Caitlin D. Lowery is often cited by papers focused on Sarcoma Diagnosis and Treatment (3 papers), Cancer-related Molecular Pathways (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Caitlin D. Lowery collaborates with scholars based in United States, Germany and Japan. Caitlin D. Lowery's co-authors include Louis F. Stancato, Wayne Blosser, Michele Dowless, Jennifer R. Stephens, Julie Stewart, Beverly L. Falcón, Aimee Bence Lin, Richard P. Beckmann, Gabriele Zybarth and Christian Regenbrecht and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and European Journal of Cancer.

In The Last Decade

Caitlin D. Lowery

11 papers receiving 234 citations

Peers

Caitlin D. Lowery
Caitlin D. Lowery
Citations per year, relative to Caitlin D. Lowery Caitlin D. Lowery (= 1×) peers Silvia Schmidtova

Countries citing papers authored by Caitlin D. Lowery

Since Specialization
Citations

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

Fields of papers citing papers by Caitlin D. Lowery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caitlin D. Lowery

This figure shows the co-authorship network connecting the top 25 collaborators of Caitlin D. Lowery. A scholar is included among the top collaborators of Caitlin D. Lowery 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 Caitlin D. Lowery. Caitlin D. Lowery 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
2.
Johnson, Melissa L., Edurne Arriola, Terufumi Kato, et al.. (2024). eVOLVE-Lung02: A phase 3 study of first-line (1L) volrustomig plus chemotherapy (CT) versus pembrolizumab plus CT in metastatic non-small-cell lung cancer (mNSCLC) with PD-L1 tumor cell (TC) expression <50%.. Journal of Clinical Oncology. 42(16_suppl). TPS8652–TPS8652. 6 indexed citations
3.
Lowery, Caitlin D., Guillaume Bergthold, Jan Köster, et al.. (2020). Systematic target actionability reviews of preclinical proof-of-concept papers to match targeted drugs to paediatric cancers. European Journal of Cancer. 130. 168–181. 8 indexed citations
4.
Blosser, Wayne, Jack Dempsey, Ann M. McNulty, et al.. (2020). A pan-cancer transcriptome analysis identifies replication fork and innate immunity genes as modifiers of response to the CHK1 inhibitor prexasertib. Oncotarget. 11(3). 216–236. 13 indexed citations
5.
Ashcraft, Kathleen A., Caitlin D. Lowery, Yvonne M. Mowery, et al.. (2019). Investigating a chimeric anti-mouse PDGFRα antibody as a radiosensitizer in primary mouse sarcomas. EBioMedicine. 40. 224–230. 4 indexed citations
6.
Conley, Anthony P., Wei‐Lien Wang, J. Andrew Livingston, et al.. (2019). MAGE-A3 Is a Clinically Relevant Target in Undifferentiated Pleomorphic Sarcoma/Myxofibrosarcoma. Cancers. 11(5). 677–677. 25 indexed citations
7.
Lowery, Caitlin D., Wayne Blosser, Michele Dowless, et al.. (2019). Anti-VEGFR2 therapy delays growth of preclinical pediatric tumor models and enhances anti-tumor activity of chemotherapy. Oncotarget. 10(53). 5523–5533. 14 indexed citations
8.
Dowless, Michele, Caitlin D. Lowery, Terry J. Shackleford, et al.. (2018). Abemaciclib Is Active in Preclinical Models of Ewing Sarcoma via Multipronged Regulation of Cell Cycle, DNA Methylation, and Interferon Pathway Signaling. Clinical Cancer Research. 24(23). 6028–6039. 47 indexed citations
9.
Lowery, Caitlin D., Michele Dowless, Wayne Blosser, et al.. (2017). The Checkpoint Kinase 1 Inhibitor Prexasertib Induces Regression of Preclinical Models of Human Neuroblastoma. Clinical Cancer Research. 23(15). 4354–4363. 53 indexed citations
10.
Lowery, Caitlin D., Wayne Blosser, Michele Dowless, et al.. (2017). Olaratumab Exerts Antitumor Activity in Preclinical Models of Pediatric Bone and Soft Tissue Tumors through Inhibition of Platelet-Derived Growth Factor Receptor α. Clinical Cancer Research. 24(4). 847–857. 26 indexed citations
11.
Silvestri, Alessandra, Johannes Haybaeck, Peter Reichardt, et al.. (2017). Three-Dimensional Patient-Derived In Vitro Sarcoma Models: Promising Tools for Improving Clinical Tumor Management. Frontiers in Oncology. 7. 38 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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