Ian J. Majewski

7.2k total citations · 1 hit paper
46 papers, 2.7k citations indexed

About

Ian J. Majewski is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ian J. Majewski has authored 46 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 11 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Ian J. Majewski's work include Epigenetics and DNA Methylation (12 papers), Cancer Genomics and Diagnostics (9 papers) and Genomics and Phylogenetic Studies (6 papers). Ian J. Majewski is often cited by papers focused on Epigenetics and DNA Methylation (12 papers), Cancer Genomics and Diagnostics (9 papers) and Genomics and Phylogenetic Studies (6 papers). Ian J. Majewski collaborates with scholars based in Australia, Netherlands and United States. Ian J. Majewski's co-authors include Alicia Oshlack, René Bernards, Marnie E. Blewitt, Douglas J. Hilton, Andrew W. Roberts, N. Davidson, Warren S. Alexander, David C.S. Huang, Mary Ann Anderson and Christoffer Flensburg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Ian J. Majewski

46 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Acquisition of the Recurrent Gly101Val Mutation in BCL2 Confers Resistance to Venetoclax in Patients with Progressive Chronic Lymphocytic Leukemia

2018 276 citations Piers Blombery, Mary Ann Anderson et al. Cancer Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ian J. Majewski Australia	24	1.5k	744	569	557	529	46	2.7k
Markus Warmuth United States	27	1.7k 1.2×	930 1.3×	1.2k 2.1×	412 0.7×	885 1.7×	48	3.1k
Kensuke Kojima Japan	29	1.8k 1.2×	1.1k 1.5×	959 1.7×	320 0.6×	444 0.8×	135	2.9k
María D. Odero Spain	32	1.8k 1.3×	476 0.6×	1.3k 2.2×	251 0.5×	603 1.1×	88	2.9k
Fumihiko Hayakawa Japan	26	1.4k 0.9×	624 0.8×	1.1k 1.9×	257 0.5×	430 0.8×	85	2.4k
Patricia Pérez‐Galán Spain	27	1.7k 1.2×	867 1.2×	454 0.8×	839 1.5×	714 1.3×	68	2.9k
Jonathan C. Strefford United Kingdom	30	960 0.7×	344 0.5×	784 1.4×	589 1.1×	755 1.4×	89	2.5k
Amanda L. Christie United States	21	1.6k 1.1×	1.0k 1.4×	624 1.1×	234 0.4×	257 0.5×	34	2.4k
Livia Manzella Italy	23	878 0.6×	467 0.6×	456 0.8×	169 0.3×	345 0.7×	68	1.8k
Jianguo Tao United States	25	1.8k 1.2×	642 0.9×	564 1.0×	448 0.8×	347 0.7×	76	2.8k
Yosef Landesman United States	33	2.5k 1.7×	935 1.3×	640 1.1×	207 0.4×	207 0.4×	171	3.2k

Countries citing papers authored by Ian J. Majewski

Since Specialization

Citations

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

Fields of papers citing papers by Ian J. Majewski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian J. Majewski. 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 Ian J. Majewski. The network helps show where Ian J. Majewski may publish in the future.

Co-authorship network of co-authors of Ian J. Majewski

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

All Works

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20 of 20 papers shown

Alserihi, Raed, Christoffer Flensburg, Waruni Abeysekera, et al.. (2023). Overexpression of Lmo2 initiates T-lymphoblastic leukemia via impaired thymocyte competition. The Journal of Experimental Medicine. 220(6). 2 indexed citations

Xu, Zhen, Christoffer Flensburg, Rebecca A. Bilardi, & Ian J. Majewski. (2023). Uridine–cytidine kinase 2 potentiates the mutagenic influence of the antiviral β-d-N4-hydroxycytidine. Nucleic Acids Research. 51(22). 12031–12042. 5 indexed citations

Brown, Lauren M., Georgina L. Ryland, Andrew Lonsdale, et al.. (2022). ALLSorts: an RNA-Seq subtype classifier for B-cell acute lymphoblastic leukemia. Blood Advances. 6(14). 4093–4097. 27 indexed citations

Xu, Zhen, Cassandra J. Vandenberg, Elizabeth Lieschke, et al.. (2021). CHK2 Inhibition Provides a Strategy to Suppress Hematologic Toxicity from PARP Inhibitors. Molecular Cancer Research. 19(8). 1350–1360. 11 indexed citations

Flensburg, Christoffer, Alicia Oshlack, & Ian J. Majewski. (2021). Detecting copy number alterations in RNA-Seq using SuperFreq. Bioinformatics. 37(22). 4023–4032. 9 indexed citations

Brown, Lauren M., Andrew Lonsdale, N. Davidson, et al.. (2020). The application of RNA sequencing for the diagnosis and genomic classification of pediatric acute lymphoblastic leukemia. Blood Advances. 4(5). 930–942. 53 indexed citations

Quaglieri, Anna, Christoffer Flensburg, Terence P. Speed, & Ian J. Majewski. (2020). Finding a suitable library size to call variants in RNA-Seq. BMC Bioinformatics. 21(1). 553–553. 4 indexed citations

Flensburg, Christoffer, Tobias Sargeant, Alicia Oshlack, & Ian J. Majewski. (2020). SuperFreq: Integrated mutation detection and clonal tracking in cancer. PLoS Computational Biology. 16(2). e1007603–e1007603. 23 indexed citations

Majewski, Ian J.. (2019). On fitness: how do mutations shape the biology of cancer?. Biochemical Society Transactions. 47(2). 559–569. 2 indexed citations

10.

Birkinshaw, Richard W., Jianan Gong, Cindy S. Luo, et al.. (2019). Structures of BCL-2 in complex with venetoclax reveal the molecular basis of resistance mutations. Nature Communications. 10(1). 2385–2385. 172 indexed citations

11.

Blombery, Piers, Mary Ann Anderson, Jianan Gong, et al.. (2018). Acquisition of the Recurrent Gly101Val Mutation in BCL2 Confers Resistance to Venetoclax in Patients with Progressive Chronic Lymphocytic Leukemia. Cancer Discovery. 9(3). 342–353. 276 indexed citations breakdown →

12.

Jastrzebski, Katarzyna, Bram Thijssen, Roelof J.C. Kluin, et al.. (2018). Integrative Modeling Identifies Key Determinants of Inhibitor Sensitivity in Breast Cancer Cell Lines. Cancer Research. 78(15). 4396–4410. 12 indexed citations

13.

Davidson, N., et al.. (2018). Clinker: visualizing fusion genes detected in RNA-seq data. GigaScience. 7(7). 14 indexed citations

14.

Anderson, Mary Ann, Jing Deng, John F. Seymour, et al.. (2016). The BCL2 selective inhibitor venetoclax induces rapid onset apoptosis of CLL cells in patients via a TP53-independent mechanism. Blood. 127(25). 3215–3224. 215 indexed citations

15.

Severson, Tesa, Justine Peeters, Ian J. Majewski, et al.. (2015). BRCA1‐like signature in triple negative breast cancer: Molecular and clinical characterization reveals subgroups with therapeutic potential. Molecular Oncology. 9(8). 1528–1538. 46 indexed citations

16.

Davidson, N., Ian J. Majewski, & Alicia Oshlack. (2015). JAFFA: High sensitivity transcriptome-focused fusion gene detection. Genome Medicine. 7(1). 43–43. 109 indexed citations

17.

Phipson, Belinda, Stanley Chun-Wei Lee, Ian J. Majewski, David J. Curtis, & Gordon K. Smyth. (2013). Empirical Bayes in the presence of exceptional cases, with application to microarray data. 4 indexed citations

18.

Leong, Huei San, Kelan Chen, Yifang Hu, et al.. (2012). Epigenetic Regulator Smchd1 Functions as a Tumor Suppressor. Cancer Research. 73(5). 1591–1599. 36 indexed citations

19.

Tian, Sun, Paul Roepman, Vlad Popovici, et al.. (2012). A robust genomic signature for the detection of colorectal cancer patients with microsatellite instability phenotype and high mutation frequency. The Journal of Pathology. 228(4). 586–595. 39 indexed citations

20.

Young, Matthew D., Tracy A. Willson, Matthew J. Wakefield, et al.. (2011). ChIP-seq analysis reveals distinct H3K27me3 profiles that correlate with transcriptional activity. Nucleic Acids Research. 39(17). 7415–7427. 219 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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