Julie L. Yang

1.3k total citations
18 papers, 579 citations indexed

About

Julie L. Yang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Julie L. Yang has authored 18 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Julie L. Yang's work include CAR-T cell therapy research (3 papers), CRISPR and Genetic Engineering (3 papers) and Cancer Genomics and Diagnostics (3 papers). Julie L. Yang is often cited by papers focused on CAR-T cell therapy research (3 papers), CRISPR and Genetic Engineering (3 papers) and Cancer Genomics and Diagnostics (3 papers). Julie L. Yang collaborates with scholars based in United States, Switzerland and Germany. Julie L. Yang's co-authors include Christina S. Leslie, Steve Lianoglou, Vidur Garg, Christine Mayr, Richard P. Koche, Long Lu, Nicholas Carriero, Judith Feucht, Yingqian A. Zhan and Mark Gerstein and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Genes & Development.

In The Last Decade

Julie L. Yang

17 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julie L. Yang United States	7	427	121	91	74	64	18	579
Debarshi Banerjee United States	13	452 1.1×	117 1.0×	76 0.8×	44 0.6×	101 1.6×	23	622
Jennifer A. Benanti United States	15	582 1.4×	187 1.5×	58 0.6×	34 0.5×	72 1.1×	24	777
Katy R. Astell United Kingdom	7	543 1.3×	109 0.9×	58 0.6×	70 0.9×	140 2.2×	7	657
Nicholas W. Ashton Australia	12	379 0.9×	83 0.7×	23 0.3×	59 0.8×	33 0.5×	25	477
Martin Košař Czechia	7	444 1.0×	98 0.8×	80 0.9×	26 0.4×	62 1.0×	9	591
Qin An United States	10	466 1.1×	33 0.3×	124 1.4×	38 0.5×	64 1.0×	12	566
Einat Tavor Israel	6	283 0.7×	49 0.4×	46 0.5×	94 1.3×	36 0.6×	8	450
M. Bryan Warf United States	11	960 2.2×	242 2.0×	155 1.7×	40 0.5×	74 1.2×	14	1.1k
Matthew Hayes United States	7	320 0.7×	18 0.1×	74 0.8×	65 0.9×	35 0.5×	13	379
Gonzalo R. Ordóñez Spain	10	302 0.7×	88 0.7×	103 1.1×	53 0.7×	41 0.6×	12	492

Countries citing papers authored by Julie L. Yang

Since Specialization

Citations

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

Fields of papers citing papers by Julie L. Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julie L. Yang. 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 Julie L. Yang. The network helps show where Julie L. Yang may publish in the future.

Co-authorship network of co-authors of Julie L. Yang

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

All Works

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18 of 18 papers shown

Wang, Huan, Zhenqiu Liu, Julie L. Yang, Sheng Li, & Dechang Chen. (2023). Using Machine Learning to Expand the Ann Arbor Staging System for Hodgkin and Non-Hodgkin Lymphoma. SHILAP Revista de lepidopterología. 3(3). 514–525. 2 indexed citations

Dunbar, Andrew, Simona Stivala, Šime Brkić, et al.. (2023). Development of Resistance to Type II JAK2 Inhibitors in MPN Depends on AXL Kinase and Is Targetable. Clinical Cancer Research. 30(3). 586–599. 1 indexed citations

Grimont, Adrien, Paul Zumbo, Julie L. Yang, et al.. (2023). A reversible epigenetic memory of inflammatory injury controls lineage plasticity and tumor initiation in the mouse pancreas. Developmental Cell. 58(24). 2959–2973.e7. 21 indexed citations

Marass, Francesco, et al.. (2023). Predicting tumour content of liquid biopsies from cell-free DNA. BMC Bioinformatics. 24(1). 368–368.

Zhao, Zeguo, Judith Feucht, Richard P. Koche, et al.. (2023). TET2 guards against unchecked BATF3-induced CAR T cell expansion. Nature. 615(7951). 315–322. 90 indexed citations

Iyer, Archana, Michael Lopez, Judith Feucht, et al.. (2021). BATF3/MYC axis drives hyper-proliferation of TET2 deficient CAR T cells. The Journal of Immunology. 206(1_Supplement). 58.02–58.02. 1 indexed citations

Zhao, Zeguo, Archana Iyer, Michael Lopez, et al.. (2021). Abstract LB153: Emergence of a hyper-proliferative phenotype in TET2 edited human CAR T cells. Cancer Research. 81(13_Supplement). LB153–LB153. 4 indexed citations

Marass, Francesco, Julie L. Yang, Caitlin M. Stewart, et al.. (2020). Cell‐free DNA profiling in retinoblastoma patients with advanced intraocular disease: An MSKCC experience. Cancer Medicine. 9(17). 6093–6101. 35 indexed citations

Dunbar, Andrew, Min Lü, Mirko Farina, et al.. (2020). Increased Interleukin-8 (IL8)-CXCR2 Signaling Promotes Progression of Bone Marrow Fibrosis in Myeloproliferative Neoplasms. Blood. 136(Supplement 1). 6–7. 5 indexed citations

10.

Hasan, Maysun, Juber Patel, Fanli Meng, et al.. (2019). Abstract 1387: Tracking minimal residual disease in post-operative cell-free DNA using MSK-ACCESS. Cancer Research. 79(13_Supplement). 1387–1387. 2 indexed citations

11.

Yang, Julie L., et al.. (2018). Plasma cell-free DNA for noninvasive molecular profiling in high-risk stage 4 neuroblastoma.. Journal of Clinical Oncology. 36(15_suppl). 10554–10554. 1 indexed citations

12.

Pelossof, Raphael, Irtisha Singh, Julie L. Yang, et al.. (2015). Affinity regression predicts the recognition code of nucleic acid–binding proteins. Nature Biotechnology. 33(12). 1242–1249. 44 indexed citations

13.

Lianoglou, Steve, Vidur Garg, Julie L. Yang, Christina S. Leslie, & Christine Mayr. (2013). Ubiquitously transcribed genes use alternative polyadenylation to achieve tissue-specific expression. Genes & Development. 27(21). 2380–2396. 286 indexed citations

14.

Wang, Zheng, Yi‐Long Wu, Julie L. Yang, et al.. (2011). EGFR tyrosine kinase inhibitor in advanced non-small cell lung cancer with wild-type EGFR.. Journal of Clinical Oncology. 29(15_suppl). e18072–e18072. 1 indexed citations

15.

Flores, Samuel Coulbourn, Long Lu, Julie L. Yang, Nicholas Carriero, & Mark Gerstein. (2007). Hinge Atlas: relating protein sequence to sites of structural flexibility. BMC Bioinformatics. 8(1). 167–167. 40 indexed citations

16.

Church, Deanna M., Julie L. Yang, Maureen Bocian, Rita Shiang, & John J. Wasmuth. (1997). A High-Resolution Physical and Transcript Map of the Cri du Chat Region of Human Chromosome 5p. Genome Research. 7(8). 787–801. 38 indexed citations

17.

Yang, Julie L., et al.. (1997). The selective recognition of antibody IgY for digestive system cancers.. PubMed. 13(2). 85–90. 6 indexed citations

18.

Huang, Shih‐Wen, et al.. (1981). THYMOCYTES AND SERUM ANTIBODIES TO NUCLEIC ACIDS IN MY ASTHENIA GRAVIS. Annals of the New York Academy of Sciences. 377(1). 833–834. 2 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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