Christopher A. Maher

22.0k total citations · 4 hit papers
87 papers, 7.5k citations indexed

About

Christopher A. Maher is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Christopher A. Maher has authored 87 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 49 papers in Cancer Research and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Christopher A. Maher's work include Cancer-related molecular mechanisms research (26 papers), RNA modifications and cancer (21 papers) and Cancer Genomics and Diagnostics (17 papers). Christopher A. Maher is often cited by papers focused on Cancer-related molecular mechanisms research (26 papers), RNA modifications and cancer (21 papers) and Cancer Genomics and Diagnostics (17 papers). Christopher A. Maher collaborates with scholars based in United States, Canada and Switzerland. Christopher A. Maher's co-authors include Arul M. Chinnaiyan, Nallasivam Palanisamy, Xuhong Cao, Ha X. Dang, Xiaojun Jing, Doreen Ware, Arul M. Chinnaiyan, Chandan Kumar‐Sinha, Bo Han and Matthew K. Iyer and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Christopher A. Maher

85 papers receiving 7.4k citations

Hit Papers

align trajectories sort by overperformance

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.

Genomic Loss of microRNA-101 Leads to Overexpression of Histone Methyltransferase EZH2 in Cancer

2008 833 citations Sooryanarayana Varambally, Qi Cao et al. Science profile →
Transcriptome sequencing across a prostate cancer cohort identifies PCAT-1, an unannotated lincRNA implicated in disease progression

2011 815 citations Qi Cao, J. Chad Brenner et al. profile →
Transcriptome sequencing to detect gene fusions in cancer

2009 631 citations Christopher A. Maher, Chandan Kumar‐Sinha et al. profile →
Long noncoding RNAs in cancer metastasis

2021 441 citations Siyuan Liu, Ha X. Dang et al. Nature reviews. Cancer profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Christopher A. Maher	5.5k	3.8k	944	922	912	87	7.5k
Ramana V. Davuluri	7.0k 1.3×	3.2k 0.8×	521 0.6×	1.2k 1.3×	595 0.7×	120	9.6k
James Hadfield	2.9k 0.5×	2.8k 0.7×	1.2k 1.2×	1.2k 1.3×	625 0.7×	32	5.2k
Dan R. Robinson	5.2k 1.0×	3.8k 1.0×	1.2k 1.2×	1.5k 1.7×	216 0.2×	101	7.6k
Richard Bourgon	3.5k 0.6×	1.1k 0.3×	477 0.5×	1.4k 1.5×	431 0.5×	55	5.4k
Malachi Griffith	4.0k 0.7×	2.2k 0.6×	744 0.8×	1.4k 1.5×	200 0.2×	100	6.5k
Asha S. Multani	5.0k 0.9×	1.9k 0.5×	650 0.7×	3.3k 3.5×	391 0.4×	126	8.2k
Sanghyuk Lee	4.1k 0.7×	3.0k 0.8×	249 0.3×	503 0.5×	479 0.5×	83	5.5k
Derek Y. Chiang	3.9k 0.7×	1.8k 0.5×	561 0.6×	1.1k 1.2×	300 0.3×	57	6.0k
Peter Van Loo	4.1k 0.7×	2.9k 0.8×	887 0.9×	1.8k 1.9×	214 0.2×	83	7.0k
Mhairi Marshall	3.3k 0.6×	1.9k 0.5×	254 0.3×	446 0.5×	601 0.7×	25	4.9k

Countries citing papers authored by Christopher A. Maher

Since Specialization

Citations

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

Fields of papers citing papers by Christopher A. Maher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher A. Maher. 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 Christopher A. Maher. The network helps show where Christopher A. Maher may publish in the future.

Co-authorship network of co-authors of Christopher A. Maher

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher A. Maher. A scholar is included among the top collaborators of Christopher A. Maher 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 Christopher A. Maher. Christopher A. Maher 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

Coonrod, Emily, et al.. (2024). BCAR4 Expression as a Predictive Biomarker for Endocrine Therapy Resistance in Breast Cancer. Clinical Breast Cancer. 24(4). 368–375.e2. 2 indexed citations

Zhang, Meng, Martin Sjöström, Xiekui Cui, et al.. (2024). Integrative analysis of ultra-deep RNA-seq reveals alternative promoter usage as a mechanism of activating oncogenic programmes during prostate cancer progression. Nature Cell Biology. 26(7). 1176–1186. 2 indexed citations

Dang, Ha X., et al.. (2024). Single cell-transcriptomic analysis informs the lncRNA landscape in metastatic castration resistant prostate cancer. npj Genomic Medicine. 9(1). 14–14. 2 indexed citations

Zhao, Sidi, Amy Ly, Jacqueline L. Mudd, et al.. (2023). Characterization of cell-type specific circular RNAs associated with colorectal cancer metastasis. NAR Cancer. 5(2). zcad021–zcad021. 3 indexed citations

Mullen, Mary M., Nicholas C. Spies, Tiandao Li, et al.. (2023). Genetic characterization of primary and metastatic high-grade serous ovarian cancer tumors reveals distinct features associated with survival. Communications Biology. 6(1). 688–688. 18 indexed citations

Maher, Christopher A., et al.. (2023). CrypticProteinDB: an integrated database of proteome and immunopeptidome derived non-canonical cancer proteins. NAR Cancer. 5(2). zcad024–zcad024. 4 indexed citations

Ly, Amy, et al.. (2023). INTEGRATE-Circ and INTEGRATE-Vis: unbiased detection and visualization of fusion-derived circular RNA. Bioinformatics. 39(9). 2 indexed citations

Dang, Ha X., Pradeep S. Chauhan, Wenjia Feng, et al.. (2023). PACT: a pipeline for analysis of circulating tumor DNA. Bioinformatics. 39(8). 1 indexed citations

Dang, Ha X., Reyka G. Jayasinghe, Sidi Zhao, et al.. (2023). Single-cell transcriptomics reveals long noncoding RNAs associated with tumor biology and the microenvironment in pancreatic cancer. NAR Cancer. 5(4). zcad055–zcad055. 1 indexed citations

10.

Eteleeb, Abdallah M., Cynthia Y. Tang, Emily B. Rozycki, et al.. (2022). LINC00355 regulates p27KIP expression by binding to MENIN to induce proliferation in late-stage relapse breast cancer. npj Breast Cancer. 8(1). 49–49. 7 indexed citations

11.

Nickless, Andrew, Jin Zhang, Matthew Inkman, et al.. (2022). Pan-Cancer Analysis Reveals Recurrent BCAR4 Gene Fusions across Solid Tumors. Molecular Cancer Research. 20(10). 1481–1488. 6 indexed citations

12.

Lim, Kian‐Huat, Mateusz Opyrchal, Ningying Wu, et al.. (2021). Phase 1 study combining alisertib with nab-paclitaxel in patients with advanced solid malignancies. European Journal of Cancer. 154. 102–110. 9 indexed citations

13.

Liu, Siyuan, Ha X. Dang, Daniel A. Lim, Felix Y. Feng, & Christopher A. Maher. (2021). Long noncoding RNAs in cancer metastasis. Nature reviews. Cancer. 21(7). 446–460. 441 indexed citations breakdown →

14.

Li, Yingming, Rendong Yang, Christine Henzler, et al.. (2020). Diverse AR Gene Rearrangements Mediate Resistance to Androgen Receptor Inhibitors in Metastatic Prostate Cancer. Clinical Cancer Research. 26(8). 1965–1976. 62 indexed citations

15.

Eteleeb, Abdallah M., David A. Quigley, Shuang G. Zhao, et al.. (2020). SV-HotSpot: detection and visualization of hotspots targeted by structural variants associated with gene expression. Scientific Reports. 10(1). 15890–15890. 2 indexed citations

16.

Coonrod, Emily, et al.. (2020). Pan-cancer proteogenomic analysis reveals long and circular noncoding RNAs encoding peptides. NAR Cancer. 2(3). zcaa015–zcaa015. 16 indexed citations

17.

Dang, Ha X., et al.. (2020). Heparin-based hydrogel scaffolding alters the transcriptomic profile and increases the chemoresistance of MDA-MB-231 triple-negative breast cancer cells. Biomaterials Science. 8(10). 2786–2796. 16 indexed citations

18.

Chen, William S., Mohammed Alshalalfa, Shuang G. Zhao, et al.. (2019). Novel RB1-Loss Transcriptomic Signature Is Associated with Poor Clinical Outcomes across Cancer Types. Clinical Cancer Research. 25(14). 4290–4299. 34 indexed citations

19.

Varambally, Sooryanarayana, Qi Cao, Ram S. Mani, et al.. (2008). Genomic Loss of microRNA-101 Leads to Overexpression of Histone Methyltransferase EZH2 in Cancer. Science. 322(5908). 1695–1699. 833 indexed citations breakdown →

20.

Maher, Christopher A., Marja C.P. Timmermans, Lincoln Stein, & Doreen Ware. (2004). Identifyng microRNAs in plant genomes. 718–723. 15 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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