John Easton

26.9k citations

84 papers · 3.5k indexed · h-index 32

Impact in

Cancer Research top 2%
- Cancer Genomics and Diagnostics
Hematology top 2%
- Acute Myeloid Leukemia Research

Papers in

Cancer Research 23
- Cancer Genomics and Diagnostics 12
Molecular Biology 60
- Single-cell and spatial transcriptomics 11
- Ubiquitin and proteasome pathways 9
- RNA modifications and cancer 9
- PI3K/AKT/mTOR signaling in cancer 8

Co-authors: Peter J. Houghton Jinghui Zhang Shile Huang Hakan Çam Anthony A. High Vincent J. Kidd Franklin C. Harwood Xiang Chen
Journals: Cancer Research (6 papers)Genome biology (5 papers)Blood (4 papers)Journal of Biological Chemistry (4 papers)Journal of Clinical Oncology (4 papers)
Partner nations: United States China South Korea

In The Last Decade

John Easton

81 papers receiving 3.5k citations

Peers

Countries citing papers authored by John Easton

Since Specialization

Citations

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

Fields of papers citing papers by John Easton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside John Easton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Easton Line = papers co-authored together John Easton links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Looking for the Best Way to Come Off Steroids Safely? Exploring Post‐Cycle Therapy, Cessation, and Recovery Discourse and Practice in Australian Steroid Consumer Forums Drug and Alcohol Review ·John Easton, Xinying zhang, Geoffrey Spurling, مروة عبد العظيم ياسين, Timothy Piatkowski	2025	0
2	Spotiphy enables single-cell spatial whole transcriptomics across an entire section Nature Methods ·原丽, 任凤香, Yun Jiao, Kaiwen Yu, Yuk‐ki Leung, Daniel Gutiérrez-González, Sivaraman Natarajan, Jiahui Zhang, Qingfei Pan, John Easton, Koon‐Kiu Yan, Junmin Peng, Kris Odland, Jiyang Yu	2025	10
3	Dynamics of Age- versus Therapy-Related Clonal Hematopoiesis in Long-term Survivors of Pediatric Cancer Cancer Discovery ·Kohei Hagiwara, Sivaraman Natarajan, Zhaoming Wang, Haseeb Zubair, Heather L. Mulder, Li Dong, Reni Maulana Putri Reni, T. Padma, Xiaotu Ma, Kirsten K. Ness, Yingbin Wang, Daniel A. Mulrooney, Carmen L. Wilson, Yutaka Yasui, Melissa M. Hudson, John Easton, Leslie L. Robison, Jinghui Zhang	2023	25
4	Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model Nucleic Acids Research ·Asif Zubair, Richard H. Chapple, Sivaraman Natarajan, William C. Wright, Min Pan, Hyeong-Min Lee, Heather Tillman, John Easton, Paul Geeleher	2022	9
5	A developmentally prometastatic niche to hepatoblastoma in neonatal liver mediated by the Cxcl1/Cxcr2 axis Hepatology ·장병창, Qingfei Pan, Wentao Yang, Selene C. Koo, Cheng Tian, Liyuan Li, Tatum Wilhelm, Anthony Brown, Bensheng Ju, John Easton, Sarangarajan Ranganathan, Soona Shin, Alexander Bondoc, Jun J. Yang, Jiyang Yu, Liqin Zhu	2022	8
6	Accurate genomic variant detection in single cells with primary template-directed amplification Proceedings of the National Academy of Sciences ·Veronica Gonzalez-Pena, Sivaraman Natarajan, Yuntao Xia, Álvaro Moreira da Silva, Robert Carter, Yakun Pang, Bridget Shaner, Kavya Annu, Daniel K. Putnam, Wenan Chen, Jon P. Connelly, Shondra M. Pruett‐Miller, Xiang Chen, John Easton, Charles Gawad	2021	87
7	Exploration of Coding and Non-coding Variants in Cancer Using GenomePaint Cancer Cell ·Xin Zhou, Jian Wang, Abdul Hossein Paknejadi, Marc Valentine, Ying Shao, Scott Newman, Edgar Sioson, Liqing Tian, Yu Liu, Samuel W. Brady, Diane A. Flasch, Xiaotu Ma, Yanling Liu, Robin Paul, Michael N. Edmonson, Michael Rusch, Chunliang Li, Suzanne J. Baker, John Easton, Jinghui Zhang	2021	13
8	Latent cellular analysis robustly reveals subtle diversity in large-scale single-cell RNA-seq data Nucleic Acids Research ·Changde Cheng, John Easton, Celeste Rosencrance, Yan Li, Bensheng Ju, Justin Williams, Heather L. Mulder, Yakun Pang, Wenan Chen, Xiang Chen	2019	24
9	RNAIndel: discovering somatic coding indels from tumor RNA-Seq data Bioinformatics ·Kohei Hagiwara, Liang Ding, Michael N. Edmonson, Stephen V. Rice, Scott Newman, John Easton, Juncheng Dai, Soheil Meshinchi, Rhonda E. Ries, Michael Rusch, Jinghui Zhang	2019	11
10	Long-read sequencing unveils IGH-DUX4 translocation into the silenced IGH allele in B-cell acute lymphoblastic leukemia Nature Communications ·Liqing Tian, Ying Shao, Stephanie Nance, Jinjun Dang, Beisi Xu, Xiaotu Ma, Yongjin Li, Bensheng Ju, Li Dong, Scott Newman, Xin Zhou, Patrick Schreiner, Elizabeth Tseng, Ting Hon, Meredith Ashby, Chunliang Li, John Easton, Tanja A. Grüber, Jinghui Zhang	2019	17
11	Metabolic signaling directs the reciprocal lineage decisions of αβ and γδ T cells Science Immunology ·Kai Yang, Daniel Bastardo Blanco, Xiang Chen, Pradyot Dash, Geoffrey Neale, Celeste Rosencrance, John Easton, Wenan Chen, Changde Cheng, Yogesh Dhungana, Anil KC, Walid Awad, Xi-zhi J. Guo, Paul G. Thomas, Hongbo Chi	2018	62
12	Polygenic Determinants for Subsequent Breast Cancer Risk in Survivors of Childhood Cancer: The St Jude Lifetime Cohort Study (SJLIFE) Clinical Cancer Research ·Zhaoming Wang, Qi Liu, Carmen L. Wilson, John Easton, Heather L. Mulder, 康嶋田, Michael Rusch, Michael N. Edmonson, Stephen V. Rice, Matthew J. Ehrhardt, Rebecca M. Howell, Chimene Kesserwan, Gang Wu, Kim E. Nichols, James R. Downing, Melissa M. Hudson, Jinghui Zhang, Yutaka Yasui, Leslie L. Robison	2018	18
13	Metabolic signaling directs the reciprocal lineage decisions of αβ and γδ T cells PMC ·遠嶋善東, Daniel Bastardo Blanco, Xiang Chen, Pradyot Dash, Geoffrey Neale, Celeste Rosencrance, John Easton, Wenan Chen, Changde Cheng, Yogesh Dhungana, Anil KC, Walid Awad, Xi-zhi J. Guo, Paul G. Thomas, Hongbo Chi	2018	14
14	Inhibition of SF3B1 by molecules targeting the spliceosome results in massive aberrant exon skipping RNA ·Gang Wu, Liying Fan, Michael N. Edmonson, Timothy I. Shaw, Kristy Boggs, John Easton, Michael Rusch, Thomas R. Webb, Jinghui Zhang, Philip M. Potter	2018	31
15	MYC Drives a Subset of High-Risk Pediatric Neuroblastomas and Is Activated through Mechanisms Including Enhancer Hijacking and Focal Enhancer Amplification Cancer Discovery ·Mark W. Zimmerman, Yu Liu, Shuning He, Adam D. Durbin, Brian J. Abraham, John Easton, Ying Shao, Beisi Xu, Shizhen Zhu, Xiaoling Zhang, Zhaodong Li, Nina Weichert‐Leahey, Richard A. Young, Jinghui Zhang, A. Thomas Look	2017	147
16	Outcomes of Children With BCR-ABL1 –Like Acute Lymphoblastic Leukemia Treated With Risk-Directed Therapy Based on the Levels of Minimal Residual Disease Journal of Clinical Oncology ·Kathryn G. Roberts, Deqing Pei, Dario Campana, Debbie Payne-Turner, Yongjin Li, Cheng Cheng, John T. Sandlund, Sima Jeha, John Easton, Jared Becksfort, Jinghui Zhang, Elaine Coustan‐Smith, Susana C. Raimondi, Wing Leung, Mary V. Relling, William E. Evans, James R. Downing, Charles G. Mullighan, Ching‐Hon Pui	2014	165
17	Protection from Rapamycin-Induced Apoptosis by Insulin-Like Growth Factor-I Is Partially Dependent on Protein Kinase C Signaling Cancer Research ·Kuntebommanahalli N. Thimmaiah, John Easton, Peter J. Houghton	2010	13
18	mTORC1 Signaling under Hypoxic Conditions Is Controlled by ATM-Dependent Phosphorylation of HIF-1α Molecular Cell ·Hakan Çam, John Easton, Anthony A. High, Peter J. Houghton	2010	212
19	The protein tyrosine phosphatase, Shp2, is required for the complete activation of the RAS/MAPK pathway by brain‐derived neurotrophic factor Journal of Neurochemistry ·John Easton, Şenay İskender, David S. Middlemas	2006	52
20	Duplication of a Genomic Region Containing the Cdc2L1-2 and MMP21-22 Genes on Human Chromosome 1p36.3 and their Linkage to D1Z2 Genome Research ·Ivana Ciganović, Jill M. Lahti, José Grenet, John Easton, 晋槙野, Peter F. Ambros, Vincent J. Kidd	1998	51

About John Easton

John Easton is a scholar working on Cancer Research, Molecular Biology, Hematology, Oncology and Immunology, having authored 84 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (12 papers), Single-cell and spatial transcriptomics (11 papers), Acute Lymphoblastic Leukemia research (11 papers), Childhood Cancer Survivors' Quality of Life (9 papers), Ubiquitin and proteasome pathways (9 papers), RNA modifications and cancer (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Acute Myeloid Leukemia Research (6 papers). The work is most often cited by research in Cancer Research (678 citations), Hematology (400 citations), Molecular Biology (2.3k citations), Oncology (675 citations) and Immunology (413 citations). John Easton has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Peter J. Houghton, Jinghui Zhang, Shile Huang, Hakan Çam, Anthony A. High, Vincent J. Kidd, Franklin C. Harwood, Xiang Chen, Jill M. Lahti and Ying Shao. Their work appears in journals such as Cancer Research, Genome biology, Blood, Journal of Biological Chemistry and Journal of Clinical Oncology.

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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