Radhika Mathur

1.1k total citations
26 papers, 575 citations indexed

About

Radhika Mathur is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Radhika Mathur has authored 26 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Radhika Mathur's work include Cancer Mechanisms and Therapy (5 papers), Chromatin Remodeling and Cancer (5 papers) and Glioma Diagnosis and Treatment (4 papers). Radhika Mathur is often cited by papers focused on Cancer Mechanisms and Therapy (5 papers), Chromatin Remodeling and Cancer (5 papers) and Glioma Diagnosis and Treatment (4 papers). Radhika Mathur collaborates with scholars based in United States, Canada and Germany. Radhika Mathur's co-authors include Charles W.M. Roberts, Agoston T. Agoston, Xiaofeng Wang, Boris G. Wilson, B. Alver, Adrianna K. San Roman, Peter J. Park, Ramesh A. Shivdasani, Peter Kaiser and James L. Yen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Nature reviews. Cancer.

In The Last Decade

Radhika Mathur

23 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Radhika Mathur United States 10 445 188 137 99 68 26 575
Tadas Rimkus United States 7 545 1.2× 72 0.4× 221 1.6× 104 1.1× 45 0.7× 8 711
Tetsuya Otsuki Japan 11 383 0.9× 156 0.8× 155 1.1× 76 0.8× 56 0.8× 24 561
Jordy Coffa Netherlands 11 375 0.8× 108 0.6× 158 1.2× 141 1.4× 22 0.3× 14 597
Vedran Kardum Croatia 3 454 1.0× 62 0.3× 161 1.2× 99 1.0× 21 0.3× 4 551
Katja Maurus Germany 9 173 0.4× 104 0.6× 104 0.8× 38 0.4× 57 0.8× 32 367
Kristina Ruuth Sweden 13 392 0.9× 93 0.5× 223 1.6× 170 1.7× 107 1.6× 23 694
Roshan Mahabir United States 6 234 0.5× 82 0.4× 116 0.8× 97 1.0× 37 0.5× 13 396
Jeffrey Rubens United States 10 399 0.9× 78 0.4× 49 0.4× 52 0.5× 32 0.5× 22 505
M C van Altena Netherlands 8 319 0.7× 68 0.4× 192 1.4× 119 1.2× 53 0.8× 8 470
Craig Soderquist United States 12 132 0.3× 129 0.7× 132 1.0× 73 0.7× 77 1.1× 25 420

Countries citing papers authored by Radhika Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Radhika Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radhika Mathur

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

All Works

20 of 20 papers shown
1.
Wang, Qixuan, Radhika Mathur, Mark W. Youngblood, et al.. (2025). Spatial 3D genome organization reveals intratumor heterogeneity in primary glioblastoma samples. Science Advances. 11(11). eadn2830–eadn2830. 2 indexed citations
2.
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Kim, Joohee, Seyong Oh, Da Som Yang, et al.. (2024). A skin-interfaced, miniaturized platform for triggered induction, capture and colorimetric multicomponent analysis of microliter volumes of sweat. Biosensors and Bioelectronics. 253. 116166–116166. 16 indexed citations
4.
Mathur, Radhika. (2024). Overcoming heterogeneity with 3D whole-tumour sampling. Nature reviews. Cancer. 24(12). 825–825. 1 indexed citations
5.
Tzavelis, Andreas, Radhika Mathur, Jacob Trueb, et al.. (2024). Development of a Miniaturized Mechanoacoustic Sensor for Continuous, Objective Cough Detection, Characterization and Physiologic Monitoring in Children With Cystic Fibrosis. IEEE Journal of Biomedical and Health Informatics. 28(10). 5941–5952. 6 indexed citations
6.
Appin, Christina, Chibo Hong, Abigail K. Suwala, et al.. (2023). Whole tumor analysis reveals early origin of the TERT promoter mutation and intercellular heterogeneity in TERT expression. Neuro-Oncology. 26(4). 640–652. 6 indexed citations
7.
Tian, Yao, Azraa S. Chaudhury, Radhika Mathur, et al.. (2023). Association Between Common Empiric Antibiotic Regimens and Clostridioides Difficile Infection in Pediatric Appendicitis. Journal of Pediatric Surgery. 59(3). 515–521. 2 indexed citations
8.
McKinney, Andrew, Radhika Mathur, Nicholas Stevers, et al.. (2022). GABP couples oncogene signaling to telomere regulation in TERT promoter mutant cancer. Cell Reports. 40(12). 111344–111344. 11 indexed citations
9.
Chaudhury, Azraa S., et al.. (2022). Novel Quality Improvement Targets to Address Healthcare Encounters After Pediatric Appendectomy. Journal of Surgical Research. 279. 511–517. 2 indexed citations
10.
Lauinger, Linda, Karin Flick, James L. Yen, Radhika Mathur, & Peter Kaiser. (2020). Cdc48 cofactor Shp1 regulates signal-induced SCF Met30 disassembly. Proceedings of the National Academy of Sciences. 117(35). 21319–21327. 9 indexed citations
11.
Mathur, Radhika, Yalan Zhang, Matthew Grimmer, et al.. (2020). MGMT promoter methylation level in newly diagnosed low-grade glioma is a predictor of hypermutation at recurrence. Neuro-Oncology. 22(11). 1580–1590. 50 indexed citations
12.
Liu, Suhu, Anna E. Marneth, Gabriela Alexe, et al.. (2018). The kinases IKBKE and TBK1 regulate MYC-dependent survival pathways through YB-1 in AML and are targets for therapy. Blood Advances. 2(23). 3428–3442. 22 indexed citations
13.
Mathur, Radhika. (2018). ARID1A loss in cancer: Towards a mechanistic understanding. Pharmacology & Therapeutics. 190. 15–23. 103 indexed citations
14.
Mathur, Radhika & Charles W.M. Roberts. (2017). SWI/SNF (BAF) Complexes: Guardians of the Epigenome. 2(1). 413–427. 30 indexed citations
15.
Mathur, Radhika, B. Alver, Adrianna K. San Roman, et al.. (2016). ARID1A loss impairs enhancer-mediated gene regulation and drives colon cancer in mice. Nature Genetics. 49(2). 296–302. 242 indexed citations
16.
Mathur, Radhika, James L. Yen, & Peter Kaiser. (2015). Skp1 Independent Function of Cdc53/Cul1 in F-box Protein Homeostasis. PLoS Genetics. 11(12). e1005727–e1005727. 9 indexed citations
17.
18.
Mathur, Radhika & Peter Kaiser. (2014). PCR-Mediated Epitope Tagging of Genes in Yeast. Methods in molecular biology. 1205. 37–44. 4 indexed citations
19.
Yen, James L., Karin Flick, Radhika Mathur, et al.. (2012). Signal-Induced Disassembly of the SCF Ubiquitin Ligase Complex by Cdc48/p97. Molecular Cell. 48(2). 288–297. 31 indexed citations
20.
Mathur, Radhika, et al.. (2007). Congenital Left Ventricular Diverticulum Presenting as Ventricular Tachycardia in an Elderly Woman. The American Journal of Geriatric Cardiology. 16(4). 262–265. 5 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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