Radhika Mathur

1.1k citations
26 papers · 592 · h-index 10

Impact in

    • Cancer Mechanisms and Therapy
    • Chromatin Remodeling and Cancer
    • Protein Degradation and Inhibitors
    • Genomics and Chromatin Dynamics
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation

Papers in

    • Chromatin Remodeling and Cancer 5
    • Ubiquitin and proteasome pathways 4
    • Protein Degradation and Inhibitors 3
    • Single-cell and spatial transcriptomics 2
    • Glioma Diagnosis and Treatment 4

Radhika Mathur

24 papers receiving 588 citations

Peers

Radhika Mathur
Comparison fields: 5 of 65
  • Pathology and Forensic Medicine 159
  • Molecular Biology 419
  • Cancer Research 81
  • Genetics 43
  • Oncology 101
Replace Moein Farshchian with:
Moein Farshchian Iran
Е. P. Kisseleva Russia
Gabriel A. Bien‐Willner United States
Silke Wemmert Germany
Bahar Değirmenci Switzerland
Soraya Gutiérrez Chile
Anita M. Chanana United States
Karen Gambaro Canada
Jean-Paul Rémy-Martin France
Vidya Bodempudi United States
Radhika Mathur relative to Moein Farshchian Iran Moein Farshchian's profile →
Citations per field
00.5×4.0×
Moein Farshchian · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Radhika Mathur, 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 Radhika Mathur Line = papers co-authored together Radhika Mathur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016246
2 2018107
3 202051
4 201231
5 201731
6 201822
7 202419
8 200618
9 202212
10 20209
11 20159
12 20246
13 20236
14 20075
15 20144
16 20223
17 20253
18 20172
19 20152
20 20202

About Radhika Mathur

Radhika Mathur is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Epidemiology and Immunology, having authored 26 papers that have together received 592 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (5 papers), Chromatin Remodeling and Cancer (5 papers), Ubiquitin and proteasome pathways (4 papers), Glioma Diagnosis and Treatment (4 papers), Cancer Genomics and Diagnostics (3 papers), Protein Degradation and Inhibitors (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (159 citations), Molecular Biology (419 citations), Cancer Research (81 citations), Genetics (43 citations) and Oncology (101 citations). Radhika Mathur has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Charles W.M. Roberts, Ramesh A. Shivdasani, Adrianna K. San Roman, B. Alver, Xiaofeng Wang, Agoston T. Agoston, Boris G. Wilson, Peter J. Park, Peter Kaiser and James L. Yen. Their work appears in journals such as Neuro-Oncology, Cancer Research, Molecular Cell, Archives of Pathology & Laboratory Medicine and Cell Reports.

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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