Madhuri Warren

2.6k total citations · 1 hit paper
16 papers, 1.8k citations indexed

About

Madhuri Warren is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Madhuri Warren has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Oncology. Recurrent topics in Madhuri Warren's work include CRISPR and Genetic Engineering (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and DNA Repair Mechanisms (2 papers). Madhuri Warren is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and DNA Repair Mechanisms (2 papers). Madhuri Warren collaborates with scholars based in United Kingdom, United States and Germany. Madhuri Warren's co-authors include Allan Bradley, Klaus Okkenhaug, Gordon Dougan, David Vetrie, Elena Vigorito, Anton J. Enright, Russell Grocock, Antony Rodriguez, Eric A. Miska and Dalya R. Soond and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Madhuri Warren

14 papers receiving 1.8k 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.

Requirement of bic/microRNA-155 for Normal Immune Function

2007 1.6k citations Antony Rodriguez, Elena Vigorito et al. Science profile →

Peers

Madhuri Warren

IMMUN

ONCOL

GENET

Philippe Couttet Switzerland

Isabelle Dunand-Sauthier Switzerland

Takashi Mino Japan

David Frendewey United States

Arnulf Hertweck United Kingdom

P. Nagesh Rao United States

Amanda Young United States

Virginia G. de Yébenes Spain

Thelma M. Escobar United States

Massimiliano Mirolo Italy

Philippe Couttet Switzerland

Madhuri Warren

1.5k ×1.3

1.2k ×1.1

522 ×1.0

IMMUN

198 ×1.2

ONCOL

80 ×0.8

GENET

Citations per year, relative to Madhuri Warren Madhuri Warren (= 1×) peers Philippe Couttet

Countries citing papers authored by Madhuri Warren

Since Specialization

Citations

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

Fields of papers citing papers by Madhuri Warren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhuri Warren

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Warren, Madhuri, et al.. (2024). Breast hamartomas associated with epithelial atypia and malignancy: are there specific clinical, radiological or pathological features that identify at risk patients?. Breast Cancer Research and Treatment. 210(2). 393–404.

Guttà, Cristiano, Arman Rahman, Claudia Aura, et al.. (2020). Low expression of pro-apoptotic proteins Bax, Bak and Smac indicates prolonged progression-free survival in chemotherapy-treated metastatic melanoma. Cell Death and Disease. 11(2). 124–124. 26 indexed citations

Warren, Madhuri, et al.. (2014). Technology Licensing and Settlements of IP Disputes: Implications of the European Commission's New Regime. Journal of European Competition Law & Practice. 5(6). 364–367.

Cheeseman, Michael, Tertius Hough, Hayley E. Tyrer, et al.. (2012). A Mouse Model for Osseous Heteroplasia. PLoS ONE. 7(12). e51835–e51835. 8 indexed citations

Warren, Madhuri, et al.. (2011). Analysis of Protein Biomarkers in Human Clinical Tumor Samples: Critical Aspects to Success from Tissue Acquisition to Analysis. Biomarkers in Medicine. 5(2). 227–248. 4 indexed citations

Rajeshkumar, N.V., Aik Choon Tan, Elizabeth De Oliveira, et al.. (2009). Antitumor Effects and Biomarkers of Activity of AZD0530, a Src Inhibitor, in Pancreatic Cancer. Clinical Cancer Research. 15(12). 4138–4146. 75 indexed citations

Warren, Madhuri, Yeun‐Jun Chung, William Howat, et al.. (2009). Irradiated Blm-deficient mice are a highly tumor prone model for analysis of a broad spectrum of hematologic malignancies. Leukemia Research. 34(2). 210–220. 10 indexed citations

Smith, Adrian, Sara Wells, Michelle Stewart, et al.. (2009). Analysis of breeding and pathology helps refine management practices of a large-scale N′-ethyl-N′-nitrosourea mouse mutagenesis programme. Laboratory Animals. 43(1). 1–10. 5 indexed citations

Tapio, Soile, Paul N. Schofield, Michael J. Atkinson, et al.. (2008). Progress in updating the European Radiobiology Archives. International Journal of Radiation Biology. 84(11). 930–936. 19 indexed citations

10.

Warren, Madhuri, Pierre Dubus, Laurence Fiette, et al.. (2008). An impending crisis in the provision of histopathology expertise for mouse functional genomics. The Journal of Pathology. 217(1). 4–13. 7 indexed citations

11.

Su, Qin, Haydn M. Prosser, Lia S. Campos, et al.. (2008). A DNA transposon-based approach to validate oncogenic mutations in the mouse. Proceedings of the National Academy of Sciences. 105(50). 19904–19909. 11 indexed citations

12.

Rodriguez, Antony, Elena Vigorito, Simon Clare, et al.. (2007). Requirement of bic/microRNA-155 for Normal Immune Function. Science. 316(5824). 608–611. 1561 indexed citations breakdown →

13.

Wang, Wei, Madhuri Warren, & Allan Bradley. (2007). Induced mitotic recombination of p53 in vivo. Proceedings of the National Academy of Sciences. 104(11). 4501–4505. 30 indexed citations

14.

Calzada‐Wack, Julia, Gabriele Hölzlwimmer, Jacqueline Müller, et al.. (2007). A Comprehensive Antibody Panel for Immunohistochemical Analysis of Formalin-Fixed, Paraffin-Embedded Hematopoietic Neoplasms of Mice: Analysis of Mouse Specific and Human Antibodies Cross-Reactive with Murine Tissue. Toxicologic Pathology. 35(3). 366–375. 25 indexed citations

15.

Warren, Madhuri. (2003). Phenotypic effects of heterozygosity for a BRCA2 mutation. Human Molecular Genetics. 12(20). 2645–2656. 28 indexed citations

16.

Warren, Madhuri. (2002). Structural analysis of the chicken BRCA2 gene facilitates identification of functional domains and disease causing mutations. Human Molecular Genetics. 11(7). 841–851. 38 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.

Explore authors with similar magnitude of impact