Catherine E. Jenkins

1.2k total citations
8 papers, 222 citations indexed

About

Catherine E. Jenkins is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Hematology. According to data from OpenAlex, Catherine E. Jenkins has authored 8 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Hematology. Recurrent topics in Catherine E. Jenkins's work include Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (3 papers) and Epigenetics and DNA Methylation (2 papers). Catherine E. Jenkins is often cited by papers focused on Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (3 papers) and Epigenetics and DNA Methylation (2 papers). Catherine E. Jenkins collaborates with scholars based in Canada, United States and Netherlands. Catherine E. Jenkins's co-authors include Andrew P. Weng, Vincenzo Giambra, Sonya H.L. Lam, Xuehai Wang, Miriam Belmonte, Samuel Gusscott, Michaël Pollak, Brent L. Wood, Malou van den Boogaard and Bastiaan J. Boukens and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Catherine E. Jenkins

8 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catherine E. Jenkins Canada 6 140 59 51 51 51 8 222
Heather C. Murray Australia 7 99 0.7× 24 0.4× 33 0.6× 37 0.7× 55 1.1× 17 210
Leah Preus United States 7 92 0.7× 65 1.1× 39 0.8× 13 0.3× 32 0.6× 15 211
Himalee S. Sabnis United States 8 123 0.9× 47 0.8× 30 0.6× 19 0.4× 85 1.7× 20 234
Virginie Saillour Canada 7 116 0.8× 46 0.8× 18 0.4× 55 1.1× 38 0.7× 10 191
Jutta Ortiz-Tánchez Germany 6 157 1.1× 33 0.6× 40 0.8× 24 0.5× 86 1.7× 8 245
Astrid Novosel Germany 4 99 0.7× 83 1.4× 21 0.4× 43 0.8× 27 0.5× 5 162
Ryosuke Ogawa Japan 8 102 0.7× 11 0.2× 50 1.0× 32 0.6× 119 2.3× 37 276
Maria López‐Pavía Spain 9 102 0.7× 35 0.6× 21 0.4× 31 0.6× 108 2.1× 21 183
Elena Boldrin Germany 8 160 1.1× 120 2.0× 25 0.5× 25 0.5× 25 0.5× 14 211
Alexandre Rouette Canada 8 136 1.0× 21 0.4× 85 1.7× 14 0.3× 30 0.6× 17 263

Countries citing papers authored by Catherine E. Jenkins

Since Specialization
Citations

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

Fields of papers citing papers by Catherine E. Jenkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine E. Jenkins. 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 Catherine E. Jenkins. The network helps show where Catherine E. Jenkins may publish in the future.

Co-authorship network of co-authors of Catherine E. Jenkins

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

All Works

8 of 8 papers shown
1.
Jenkins, Catherine E., Qi Cao, Jasper Wong, et al.. (2023). RUNX1 colludes with NOTCH1 to reprogram chromatin in T cell acute lymphoblastic leukemia. iScience. 26(6). 106795–106795. 3 indexed citations
2.
Mohan, Rajiv A., Malou van den Boogaard, Catharina R.E. Hilvering, et al.. (2019). An enhancer cluster controls gene activity and topology of the SCN5A-SCN10A locus in vivo. Nature Communications. 10(1). 4943–4943. 21 indexed citations
3.
Jenkins, Catherine E., Samuel Gusscott, Rachel Wong, et al.. (2018). RUNX1 promotes cell growth in human T-cell acute lymphoblastic leukemia by transcriptional regulation of key target genes. Experimental Hematology. 64. 84–96. 4 indexed citations
4.
Giambra, Vincenzo, Samuel Gusscott, Sonya H.L. Lam, et al.. (2018). Epigenetic Restoration of Fetal-like IGF1 Signaling Inhibits Leukemia Stem Cell Activity. Cell stem cell. 23(5). 714–726.e7. 17 indexed citations
5.
Gusscott, Samuel, Catherine E. Jenkins, Sonya H.L. Lam, et al.. (2016). IGF1R Derived PI3K/AKT Signaling Maintains Growth in a Subset of Human T-Cell Acute Lymphoblastic Leukemias. PLoS ONE. 11(8). e0161158–e0161158. 40 indexed citations
6.
Wang, Xuehai, Sonya H.L. Lam, Catherine E. Jenkins, et al.. (2015). CD44 promotes chemoresistance in T-ALL by increased drug efflux. Experimental Hematology. 44(3). 166–171.e17. 27 indexed citations
7.
Giambra, Vincenzo, Catherine E. Jenkins, Sonya H.L. Lam, et al.. (2015). Leukemia stem cells in T-ALL require active Hif1α and Wnt signaling. Blood. 125(25). 3917–3927. 93 indexed citations
8.
Jenkins, Catherine E., Olena O Shevchuk, Vincenzo Giambra, et al.. (2012). IGF signaling contributes to malignant transformation of hematopoietic progenitors by the MLL-AF9 oncoprotein. Experimental Hematology. 40(9). 715–723.e6. 17 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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