Julia Etchin

2.4k total citations · 1 hit paper
18 papers, 1.4k citations indexed

About

Julia Etchin is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Julia Etchin has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Hematology and 5 papers in Oncology. Recurrent topics in Julia Etchin's work include Acute Myeloid Leukemia Research (6 papers), Nuclear Structure and Function (5 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Julia Etchin is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Nuclear Structure and Function (5 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Julia Etchin collaborates with scholars based in United States, Singapore and United Kingdom. Julia Etchin's co-authors include A. Thomas Look, Marc R. Mansour, Takaomi Sanda, Alla Berezovskaya, Brian J. Abraham, Richard A. Young, Adam D. Durbin, Alejandro Gutiérrez, Lewis B. Silverman and Mignon L. Loh and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Julia Etchin

17 papers receiving 1.4k citations

Hit Papers

An oncogenic super-enhancer formed through somatic mutati... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Etchin United States 11 1.2k 297 232 184 155 18 1.4k
Taiju Utsugisawa Japan 15 772 0.7× 285 1.0× 188 0.8× 106 0.6× 82 0.5× 39 1.0k
Courtney G. Havens United States 13 1.3k 1.1× 508 1.7× 376 1.6× 90 0.5× 116 0.7× 16 1.6k
Joseph P. Milazzo United States 10 973 0.8× 414 1.4× 140 0.6× 153 0.8× 95 0.6× 10 1.3k
Willem den Besten United States 16 938 0.8× 418 1.4× 159 0.7× 103 0.6× 109 0.7× 20 1.2k
Natalie von der Lehr Sweden 7 984 0.8× 557 1.9× 106 0.5× 134 0.7× 61 0.4× 8 1.2k
Luyao Xu China 5 628 0.5× 180 0.6× 228 1.0× 151 0.8× 42 0.3× 14 869
Lara Wohlbold Germany 16 1.1k 1.0× 332 1.1× 85 0.4× 159 0.9× 86 0.6× 20 1.4k
Chiara Ronchini Italy 13 794 0.7× 321 1.1× 150 0.6× 141 0.8× 57 0.4× 22 1.0k
Corinna Meyer Germany 22 713 0.6× 288 1.0× 211 0.9× 195 1.1× 63 0.4× 75 1.2k
Gustavo Linares‐Cruz France 13 934 0.8× 220 0.7× 297 1.3× 94 0.5× 309 2.0× 18 1.3k

Countries citing papers authored by Julia Etchin

Since Specialization
Citations

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

Fields of papers citing papers by Julia Etchin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Etchin

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

All Works

18 of 18 papers shown
1.
Ung, Matthew, et al.. (2023). Multimodal Atlas of Paired Diagnosis and Relapse AML Samples Enables Novel Therapeutic Targeting of Surface Antigens. Blood. 142(Supplement 1). 164–164. 1 indexed citations
2.
Lydeard, John R., Michelle I. Lin, Shu Wang, et al.. (2023). Development of a gene edited next-generation hematopoietic cell transplant to enable acute myeloid leukemia treatment by solving off-tumor toxicity. Molecular Therapy — Methods & Clinical Development. 31. 101135–101135. 7 indexed citations
3.
He, Shuning, Mark W. Zimmerman, Alla Berezovskaya, et al.. (2021). Synergistic melanoma cell death mediated by inhibition of both MCL1 and BCL2 in high-risk tumors driven by NF1/PTEN loss. Oncogene. 40(38). 5718–5729. 4 indexed citations
4.
Place, Andrew E., Traci M. Blonquist, Elliot Stieglitz, et al.. (2018). Phase I Study of the Selinexor in Relapsed/Refractory Childhood Acute Leukemia. Blood. 132(Supplement 1). 1405–1405. 4 indexed citations
5.
Abraham, Brian J., Denes Hnisz, Abraham S. Weintraub, et al.. (2017). Small genomic insertions form enhancers that misregulate oncogenes. Nature Communications. 8(1). 14385–14385. 62 indexed citations
6.
Akahane, Koshi, Zhaodong Li, Julia Etchin, et al.. (2017). Anti‐leukaemic activity of the TYK2 selective inhibitor NDI‐031301 in T‐cell acute lymphoblastic leukaemia. British Journal of Haematology. 177(2). 271–282. 28 indexed citations
7.
Etchin, Julia, Alla Berezovskaya, Amy Saur Conway, et al.. (2017). Abstract 39: XPO1 inhibitor, KPT-8602, is well tolerated and highly active against AML blasts and LICs. Clinical Cancer Research. 23(24_Supplement). 39–39.
8.
Etchin, Julia, Alla Berezovskaya, Amy Saur Conway, et al.. (2016). KPT-8602, a second-generation inhibitor of XPO1-mediated nuclear export, is well tolerated and highly active against AML blasts and leukemia-initiating cells. Leukemia. 31(1). 143–150. 89 indexed citations
9.
Akahane, Koshi, Zhaodong Li, Julia Etchin, et al.. (2016). Anti-Leukemic Activity of the TYK2 Selective Inhibitor Ndi-031301 in T-Cell Acute Lymphoblastic Leukemia. Blood. 128(22). 1596–1596. 8 indexed citations
10.
Mansour, Marc R., Brian J. Abraham, Lars Anders, et al.. (2014). An oncogenic super-enhancer formed through somatic mutation of a noncoding intergenic element. Science. 346(6215). 1373–1377. 538 indexed citations breakdown →
11.
Barceló, Carles, Julia Etchin, Marc R. Mansour, et al.. (2014). Ribonucleoprotein HNRNPA2B1 Interacts With and Regulates Oncogenic KRAS in Pancreatic Ductal Adenocarcinoma Cells. Gastroenterology. 147(4). 882–892.e8. 51 indexed citations
12.
Etchin, Julia, Takaomi Sanda, Marc R. Mansour, et al.. (2013). KPT‐330 inhibitor of CRM1 (XPO1)‐mediated nuclear export has selective anti‐leukaemic activity in preclinical models of T‐cell acute lymphoblastic leukaemia and acute myeloid leukaemia. British Journal of Haematology. 161(1). 117–127. 141 indexed citations
13.
Etchin, Julia, Qingxiang Sun, Alex Kentsis, et al.. (2012). Antileukemic activity of nuclear export inhibitors that spare normal hematopoietic cells. Leukemia. 27(1). 66–74. 145 indexed citations
14.
Etchin, Julia, John P. Kanki, & A. Thomas Look. (2011). Zebrafish as a Model for the Study of Human Cancer. Methods in cell biology. 105. 309–337. 43 indexed citations
15.
Etchin, Julia, Alex Kentsis, Takaomi Sanda, et al.. (2011). KPT-SINE, a Potent, Small Molecule Inhibitor of CRM1-Dependent Nuclear-Cytoplasmic Shuttling, with Potent Activity Against T-ALL and AML. Blood. 118(21). 2622–2622. 1 indexed citations
16.
Dray, Eloïse, Julia Etchin, Claudia Wiese, et al.. (2010). Enhancement of RAD51 recombinase activity by the tumor suppressor PALB2. Nature Structural & Molecular Biology. 17(10). 1255–1259. 128 indexed citations
18.
Filippo, Joseph San, Peter Chi, Michael G. Sehorn, et al.. (2006). Recombination Mediator and Rad51 Targeting Activities of a Human BRCA2 Polypeptide. Journal of Biological Chemistry. 281(17). 11649–11657. 105 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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