Jane R. Engler

1.5k total citations
11 papers, 1.1k citations indexed

About

Jane R. Engler is a scholar working on Genetics, Molecular Biology and Rheumatology. According to data from OpenAlex, Jane R. Engler has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Molecular Biology and 5 papers in Rheumatology. Recurrent topics in Jane R. Engler's work include Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Eosinophilic Disorders and Syndromes (5 papers). Jane R. Engler is often cited by papers focused on Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Eosinophilic Disorders and Syndromes (5 papers). Jane R. Engler collaborates with scholars based in United States, Australia and Switzerland. Jane R. Engler's co-authors include Timothy P. Hughes, Verity A Saunders, Deborah L. White, Paul W. Manley, Phuong Dang, Andrew C.W. Zannettino, Joanna J. Phillips, C. David James, Aaron E. Robinson and Stephanie Zrim and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Jane R. Engler

11 papers receiving 1.1k citations

Peers

Jane R. Engler
Katherine Lazarides United States
Lucia Bianchi Italy
François Xavier Mahon France
Michael R. Burgess United States
Mario Notari Italy
Jordan Blum United States
Raghuveer Singh Mali United States
Basem S. Goueli United States
Veerendra Munugalavadla United States
Bülent Sargin Germany
Katherine Lazarides United States
Jane R. Engler
Citations per year, relative to Jane R. Engler Jane R. Engler (= 1×) peers Katherine Lazarides

Countries citing papers authored by Jane R. Engler

Since Specialization
Citations

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

Fields of papers citing papers by Jane R. Engler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane R. Engler. 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 Jane R. Engler. The network helps show where Jane R. Engler may publish in the future.

Co-authorship network of co-authors of Jane R. Engler

This figure shows the co-authorship network connecting the top 25 collaborators of Jane R. Engler. A scholar is included among the top collaborators of Jane R. Engler 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 Jane R. Engler. Jane R. Engler 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.
Wade, Anna, Jane R. Engler, Vy M. Tran, & Joanna J. Phillips. (2021). Measuring Sulfatase Expression and Invasion in Glioblastoma. Methods in molecular biology. 415–425. 3 indexed citations
2.
Tran, Vy M., Anna Wade, Andrew McKinney, et al.. (2017). Heparan Sulfate Glycosaminoglycans in Glioblastoma Promote Tumor Invasion. Molecular Cancer Research. 15(11). 1623–1633. 28 indexed citations
3.
Lindberg, Olle R., Andrew McKinney, Jane R. Engler, et al.. (2016). GBM heterogeneity as a function of variable epidermal growth factor receptor variant III activity. Oncotarget. 7(48). 79101–79116. 34 indexed citations
4.
Wade, Anna, Jane R. Engler, Vy M. Tran, & Joanna J. Phillips. (2014). Measuring Sulfatase Expression and Invasion in Glioblastoma. Methods in molecular biology. 1229. 507–516. 9 indexed citations
5.
Wade, Anna, Aaron E. Robinson, Jane R. Engler, et al.. (2013). Proteoglycans and their roles in brain cancer. FEBS Journal. 280(10). 2399–2417. 146 indexed citations
6.
Engler, Jane R., Aaron E. Robinson, Ivan Smirnov, et al.. (2012). Increased Microglia/Macrophage Gene Expression in a Subset of Adult and Pediatric Astrocytomas. PLoS ONE. 7(8). e43339–e43339. 133 indexed citations
7.
Engler, Jane R., Amity Frede, Verity A Saunders, et al.. (2010). The poor response to imatinib observed in CML patients with low OCT-1 activity is not attributable to lower uptake of imatinib into their CD34+ cells. Blood. 116(15). 2776–2778. 19 indexed citations
8.
White, Deborah L., Phuong Dang, Jane R. Engler, et al.. (2010). Functional Activity of the OCT-1 Protein Is Predictive of Long-Term Outcome in Patients With Chronic-Phase Chronic Myeloid Leukemia Treated With Imatinib. Journal of Clinical Oncology. 28(16). 2761–2767. 132 indexed citations
9.
Engler, Jane R., Amity Frede, Andrew C.W. Zannettino, Deborah L. White, & Timothy P. Hughes. (2008). Reduced Activity of the OCT-1 Protein in Primitive CML Cells: A Likely Determinant of Stem Cell Resistance in Imatinib Treated CML Patients. Blood. 112(11). 196–196. 2 indexed citations
10.
White, Deborah L., Verity A Saunders, Phuong Dang, et al.. (2007). Most CML patients who have a suboptimal response to imatinib have low OCT-1 activity: higher doses of imatinib may overcome the negative impact of low OCT-1 activity. Blood. 110(12). 4064–4072. 244 indexed citations
11.

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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