Michael Fletcher

2.1k total citations
12 papers, 410 citations indexed

About

Michael Fletcher is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Michael Fletcher has authored 12 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Michael Fletcher's work include Glioma Diagnosis and Treatment (3 papers), Epigenetics and DNA Methylation (3 papers) and Fibroblast Growth Factor Research (2 papers). Michael Fletcher is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Epigenetics and DNA Methylation (3 papers) and Fibroblast Growth Factor Research (2 papers). Michael Fletcher collaborates with scholars based in Germany, United Kingdom and Belgium. Michael Fletcher's co-authors include Mauro A. A. Castro, Kerstin B. Meyer, Florian Markowetz, Xin Wang, Allan H. Price, Inês de Santiago, Bruce A.J. Ponder, Martin O’Reilly, Carlos Caldas and Suet‐Feung Chin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Michael Fletcher

11 papers receiving 406 citations

Peers

Michael Fletcher
Aleksander Baldys United States
Diana C. Alcobia United Kingdom
Bei You United States
Michael Fletcher
Citations per year, relative to Michael Fletcher Michael Fletcher (= 1×) peers Lingling Duan

Countries citing papers authored by Michael Fletcher

Since Specialization
Citations

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

Fields of papers citing papers by Michael Fletcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Fletcher

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

All Works

12 of 12 papers shown
1.
Wu, Yonghe, Lin Yang, K Man, et al.. (2025). A new IDH-independent hypermethylation phenotype is associated with astrocyte-like cell state in glioblastoma. Genome biology. 26(1). 192–192.
2.
Phillips, Emma, Jörg Balß, Stefan Pusch, et al.. (2022). PFKFB4 interacts with FBXO28 to promote HIF-1α signaling in glioblastoma. Oncogenesis. 11(1). 57–57. 9 indexed citations
3.
Costa, Barbara, Michael Fletcher, Ekaterina Ivanova, et al.. (2021). A Set of Cell Lines Derived from a Genetic Murine Glioblastoma Model Recapitulates Molecular and Morphological Characteristics of Human Tumors. Cancers. 13(2). 230–230. 15 indexed citations
4.
Fletcher, Michael, Thomas Hielscher, Tobias Keßler, et al.. (2021). A novel patient stratification strategy to enhance the therapeutic efficacy of dasatinib in glioblastoma. Neuro-Oncology. 24(1). 39–51. 27 indexed citations
5.
Trumpp, Andreas, Lisa M. Becker, Michael Fletcher, et al.. (2020). Abstract PD2-01: Exploring CDK4/6 inhibitor therapy response and drug resistance development at the single cell level in metastatic breast cancer CTCs. Cancer Research. 80(4_Supplement). PD2–1. 1 indexed citations
6.
Kučka, Marek, Ronald Naumann, Michael Fletcher, et al.. (2018). Genetic mapping of species differences via in vitro crosses in mouse embryonic stem cells. Proceedings of the National Academy of Sciences. 115(14). 3680–3685. 7 indexed citations
7.
Campbell, Thomas M., Mauro A. A. Castro, Inês de Santiago, et al.. (2016). FGFR2 risk SNPs confer breast cancer risk by augmenting oestrogen responsiveness. Carcinogenesis. 37(8). 741–750. 44 indexed citations
8.
Fletcher, Michael, Mauro A. A. Castro, Xin Wang, et al.. (2013). Master regulators of FGFR2 signalling and breast cancer risk. Nature Communications. 4(1). 2464–2464. 154 indexed citations
9.
Castro, Mauro A. A., Xin Wang, Michael Fletcher, Kerstin B. Meyer, & Florian Markowetz. (2012). RedeR: R/Bioconductor package for representing modular structures, nested networks and multiple levels of hierarchical associations. Genome biology. 13(4). R29–R29. 74 indexed citations
10.
Kuan, Wei‐Li, Emma Poole, Michael Fletcher, et al.. (2011). A novel neuroprotective therapy for Parkinson’s disease using a viral noncoding RNA that protects mitochondrial Complex I activity. The Journal of Experimental Medicine. 209(1). 1–10. 32 indexed citations
11.
Kuan, Wei‐Li, Michael Fletcher, Emma Poole, et al.. (2011). 3.206 A NOVEL NEUROPROTECTIVE THERAPY FOR PARKINSON'S DISEASE USING A VIRAL NON-CODING RNA THAT PROTECTS MITOCHONDRIAL COMPLEX I ACTIVITY. Parkinsonism & Related Disorders. 18. S204–S205. 2 indexed citations
12.
Price, Allan H. & Michael Fletcher. (1990). Mechanisms of NSAID-Induced Gastroenteropathy. Drugs. 40(Supplement 5). 1–11. 45 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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