Madhurendra Singh

864 total citations
17 papers, 516 citations indexed

About

Madhurendra Singh is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Madhurendra Singh has authored 17 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Madhurendra Singh's work include Cancer-related Molecular Pathways (8 papers), Epigenetics and DNA Methylation (3 papers) and Microtubule and mitosis dynamics (3 papers). Madhurendra Singh is often cited by papers focused on Cancer-related Molecular Pathways (8 papers), Epigenetics and DNA Methylation (3 papers) and Microtubule and mitosis dynamics (3 papers). Madhurendra Singh collaborates with scholars based in Sweden, Germany and China. Madhurendra Singh's co-authors include Galina Selivanova, Sylvain Peuget, Gema Sanz, Jiawei Zhu, Xiaolei Zhou, Yue Zhan, Lisa S. Westerberg, Mariana M.S. Oliveira, John Inge Johnsen and D. Allen Annis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Madhurendra Singh

16 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madhurendra Singh Sweden 12 331 212 85 69 62 17 516
Dayanand Deo United States 8 318 1.0× 242 1.1× 53 0.6× 87 1.3× 54 0.9× 15 537
Philippe Depeille United States 13 437 1.3× 162 0.8× 53 0.6× 73 1.1× 108 1.7× 15 616
Crystal Cornelius United States 10 384 1.2× 135 0.6× 72 0.8× 111 1.6× 60 1.0× 11 565
Lucas B. Murray United States 7 770 2.3× 232 1.1× 100 1.2× 83 1.2× 72 1.2× 7 946
Z. Ping Lin United States 12 499 1.5× 303 1.4× 53 0.6× 120 1.7× 39 0.6× 25 680
Lois Resnick‐Silverman United States 15 518 1.6× 311 1.5× 52 0.6× 97 1.4× 43 0.7× 18 728
Anthony L. Sinn United States 14 373 1.1× 223 1.1× 55 0.6× 123 1.8× 139 2.2× 35 699
Liqing Zhuang Australia 7 345 1.0× 200 0.9× 92 1.1× 111 1.6× 93 1.5× 7 535
Mercè de Frías Spain 13 511 1.5× 237 1.1× 41 0.5× 82 1.2× 103 1.7× 17 734
Bing An United States 11 505 1.5× 281 1.3× 63 0.7× 62 0.9× 51 0.8× 13 646

Countries citing papers authored by Madhurendra Singh

Since Specialization
Citations

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

Fields of papers citing papers by Madhurendra Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhurendra Singh

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

All Works

17 of 17 papers shown
1.
Grassi, Francesca, Madhurendra Singh, Simon Moussaud, et al.. (2025). DCPS is a synthetic lethal therapeutic target in acute myeloid leukemia expressing low levels of FHIT. Leukemia. 39(8). 2021–2025.
2.
Zhou, Xiaolei, Yue Zhan, Mariana M.S. Oliveira, et al.. (2022). Mutant p53 gain of function mediates cancer immune escape that is counteracted by APR-246. British Journal of Cancer. 127(11). 2060–2071. 17 indexed citations
3.
Zhan, Yue, Xiaolei Zhou, Sylvain Peuget, et al.. (2022). Decreased DNA Damage and Improved p53 Specificity of RITA Analogs. Molecular Cancer Therapeutics. 21(10). 1524–1534. 4 indexed citations
4.
Zhou, Xiaolei, Madhurendra Singh, Gema Sanz, et al.. (2021). Pharmacologic Activation of p53 Triggers Viral Mimicry Response Thereby Abolishing Tumor Immune Evasion and Promoting Antitumor Immunity. Cancer Discovery. 11(12). 3090–3105. 113 indexed citations
5.
Peuget, Sylvain, Jiawei Zhu, Gema Sanz, et al.. (2020). Thermal Proteome Profiling Identifies Oxidative-Dependent Inhibition of the Transcription of Major Oncogenes as a New Therapeutic Mechanism for Select Anticancer Compounds. Cancer Research. 80(7). 1538–1550. 14 indexed citations
6.
Zehl, Martin, Madhurendra Singh, Finn L. Aachmann, et al.. (2020). Class IV Lasso Peptides Synergistically Induce Proliferation of Cancer Cells and Sensitize Them to Doxorubicin. iScience. 23(12). 101785–101785. 18 indexed citations
7.
Zhu, Jiawei, Madhurendra Singh, Galina Selivanova, & Sylvain Peuget. (2020). Pifithrin-α alters p53 post-translational modifications pattern and differentially inhibits p53 target genes. Scientific Reports. 10(1). 1049–1049. 53 indexed citations
8.
Moyano‐Galceran, Lidia, Elina Pietilä, S. Pauliina Turunen, et al.. (2020). Adaptive RSK‐EphA2‐GPRC5A signaling switch triggers chemotherapy resistance in ovarian cancer. EMBO Molecular Medicine. 12(4). e11177–e11177. 40 indexed citations
9.
Booth, Samuel, et al.. (2020). p53 CRISPR Deletion Affects DNA Structure and Nuclear Architecture. Journal of Clinical Medicine. 9(2). 598–598. 5 indexed citations
10.
Singh, Madhurendra, Xiaolei Zhou, Xinsong Chen, et al.. (2020). Identification and targeting of selective vulnerability rendered by tamoxifen resistance. Breast Cancer Research. 22(1). 10 indexed citations
11.
Sanz, Gema, Madhurendra Singh, Sylvain Peuget, & Galina Selivanova. (2019). Inhibition of p53 inhibitors: progress, challenges and perspectives. Journal of Molecular Cell Biology. 11(7). 586–599. 110 indexed citations
12.
Zhang, Fan, Vedrana Tabor, Madhurendra Singh, et al.. (2018). MYC and RAS are unable to cooperate in overcoming cellular senescence and apoptosis in normal human fibroblasts. Cell Cycle. 17(24). 2697–2715. 13 indexed citations
13.
Singh, Madhurendra, Laura Bergmann, Alexander Lang, et al.. (2018). Gαi3 signaling is associated with sexual dimorphic expression of the clock-controlled output geneDbpin murine liver. Oncotarget. 9(54). 30213–30224. 4 indexed citations
14.
Devanathan, Vasudharani, Ina Hagedorn, D. Köhler, et al.. (2015). Platelet G i protein Gα i2 is an essential mediator of thrombo-inflammatory organ damage in mice. Proceedings of the National Academy of Sciences. 112(20). 6491–6496. 35 indexed citations
15.
Singh, Madhurendra, Luitgard Nagel‐Steger, Daniel Prumbaum, et al.. (2013). The Centrosomal Adaptor TACC3 and the Microtubule Polymerase chTOG Interact via Defined C-terminal Subdomains in an Aurora-A Kinase-independent Manner. Journal of Biological Chemistry. 289(1). 74–88. 35 indexed citations
16.
Singh, Madhurendra, Luitgard Nagel‐Steger, Daniel Prumbaum, et al.. (2013). Role of centrosomal adaptor proteins of the TACC family in the regulation of microtubule dynamics during mitotic cell division. Biological Chemistry. 394(11). 1411–1423. 24 indexed citations
17.
Schmidt, Stephan, Frank Eßmann, Ion Cristian Cirstea, et al.. (2010). The centrosome and mitotic spindle apparatus in cancer and senescence. Cell Cycle. 9(22). 4469–4473. 21 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

Breakdown of academic impact, for papers by Dayanand Deo Breakdown of academic impact, for papers by Philippe Depeille Breakdown of academic impact, for papers by Crystal Cornelius Breakdown of academic impact, for papers by Lucas B. Murray Breakdown of academic impact, for papers by Z. Ping Lin Breakdown of academic impact, for papers by Lois Resnick‐Silverman Breakdown of academic impact, for papers by Anthony L. Sinn Breakdown of academic impact, for papers by Liqing Zhuang Breakdown of academic impact, for papers by Mercè de Frías Breakdown of academic impact, for papers by Bing An
Rankless by CCL
2026