Michael J. Clarkson

2.4k total citations
22 papers, 1.7k citations indexed

About

Michael J. Clarkson is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Michael J. Clarkson has authored 22 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Genetics. Recurrent topics in Michael J. Clarkson's work include Genomics and Chromatin Dynamics (5 papers), Renal and related cancers (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Michael J. Clarkson is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Renal and related cancers (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Michael J. Clarkson collaborates with scholars based in Australia, United Kingdom and France. Michael J. Clarkson's co-authors include David J. Tremethick, Robert Saint, R.K. Suto, Karolin Luger, Vincent R. Harley, Anthony Argentaro, Andreas Schedl, F. Gibson, J. R. E. Wells and Niall M. Corcoran and has published in prestigious journals such as Nature, Nature Communications and The Journal of Immunology.

In The Last Decade

Michael J. Clarkson

21 papers receiving 1.7k citations

Peers

Michael J. Clarkson
Kyoichi Isono Japan
Hiroyuki Kugoh Japan
Ryosuke Tsunematsu Japan
Anne Harrington United States
Karen D. Tsuchiya United States
Manuel Sánchez‐Martín Spain
Peter Bayliss United States
Eric M. Mendenhall United States
Anne‐Marie Martinez France
Holger Tönnies Germany
Kyoichi Isono Japan
Michael J. Clarkson
Citations per year, relative to Michael J. Clarkson Michael J. Clarkson (= 1×) peers Kyoichi Isono

Countries citing papers authored by Michael J. Clarkson

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Clarkson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Clarkson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Clarkson. A scholar is included among the top collaborators of Michael J. Clarkson 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 J. Clarkson. Michael J. Clarkson 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.
Mangiola, Stefano, Geoff Macintyre, Ryan Hutchinson, et al.. (2021). MSH2-deficient prostate tumours have a distinct immune response and clinical outcome compared to MSH2-deficient colorectal or endometrial cancer. Prostate Cancer and Prostatic Diseases. 24(4). 1167–1180. 6 indexed citations
2.
Clarkson, Michael J. & T P Enevoldson. (2020). The factors which influence the breeding and number of Aedes detritus in the Neston area of Cheshire, UK, the production of a local mosquito forecast and public bite reporting.. 38. 3 indexed citations
3.
Lau, Edmund, Fairleigh Reeves, Ken Chow, et al.. (2020). Detection of ctDNA in plasma of patients with clinically localised prostate cancer is associated with rapid disease progression. Genome Medicine. 12(1). 72–72. 42 indexed citations
4.
Costello, Anthony J., et al.. (2018). Preparation of fluorescent in situ hybridisation probes without the need for optimisation of fragmentation. MethodsX. 6. 22–34. 4 indexed citations
5.
Mangiola, Stefano, Ryan Stuchbery, Geoff Macintyre, et al.. (2018). Periprostatic fat tissue transcriptome reveals a signature diagnostic for high-risk prostate cancer. Endocrine Related Cancer. 25(5). 569–581. 18 indexed citations
6.
Sapre, Nikhil, Geoff Macintyre, Michael J. Clarkson, et al.. (2016). A urinary microRNA signature can predict the presence of bladder urothelial carcinoma in patients undergoing surveillance. British Journal of Cancer. 114(4). 454–462. 73 indexed citations
7.
Lefèbvre, J, Michael J. Clarkson, Filippo Massa, et al.. (2015). Alternatively spliced isoforms of WT1 control podocyte-specific gene expression. Kidney International. 88(2). 321–331. 38 indexed citations
8.
Badro, Danielle A., Michael J. Clarkson, Maria Rita Lecca, et al.. (2014). WT1 controls antagonistic FGF and BMP-pSMAD pathways in early renal progenitors. Nature Communications. 5(1). 4444–4444. 82 indexed citations
9.
Bandiera, Roberto, Valérie Vidal, Michael J. Clarkson, et al.. (2013). WT1 Maintains Adrenal-Gonadal Primordium Identity and Marks a Population of AGP-like Progenitors within the Adrenal Gland. Developmental Cell. 27(1). 5–18. 87 indexed citations
10.
Reginensi, Antoine, Michael J. Clarkson, Yasmine Neirijnck, et al.. (2011). SOX9 controls epithelial branching by activating RET effector genes during kidney development. Human Molecular Genetics. 20(6). 1143–1153. 106 indexed citations
11.
Toh, Myew–Ling, Daniel Aeberli, Derek Lacey, et al.. (2006). Regulation of IL-1 and TNF Receptor Expression and Function by Endogenous Macrophage Migration Inhibitory Factor. The Journal of Immunology. 177(7). 4818–4825. 62 indexed citations
12.
Harley, Vincent R., Michael J. Clarkson, & Anthony Argentaro. (2003). The Molecular Action and Regulation of the Testis-Determining Factors, SRY (Sex-Determining Region on the Y Chromosome) and SOX9 [SRY-Related High-Mobility Group (HMG) Box 9]. Endocrine Reviews. 24(4). 466–487. 164 indexed citations
13.
Clarkson, Michael J. & Vincent R. Harley. (2002). Sex with two SOX on: SRY and SOX9 in testis development. Trends in Endocrinology and Metabolism. 13(3). 106–111. 56 indexed citations
14.
Clarkson, Michael J., et al.. (2000). Distinct importin recognition properties of histones and chromatin assembly factors. FEBS Letters. 467(2-3). 169–174. 34 indexed citations
15.
Saint, Robert & Michael J. Clarkson. (2000). Pictures in cell biology. Trends in Cell Biology. 10(12). 553–553. 5 indexed citations
16.
Luger, Karolin, R.K. Suto, Michael J. Clarkson, & David J. Tremethick. (2000). Crystal structure of a nucleosome core particle containing the variant histone H2A.Z.. Nature Structural Biology. 7(12). 1121–1124. 423 indexed citations
17.
Clarkson, Michael J., J. R. E. Wells, F. Gibson, Robert Saint, & David J. Tremethick. (1999). Regions of variant histone His2AvD required for Drosophila development. Nature. 399(6737). 694–697. 160 indexed citations
18.
Clarkson, Michael J. & Robert Saint. (1999). A His2AvDGFP Fusion Gene Complements a Lethal His2AvD Mutant Allele and Provides an in Vivo Marker for Drosophila Chromosome Behavior. DNA and Cell Biology. 18(6). 457–462. 172 indexed citations
19.
20.
Walsh, Kevin, et al.. (1995). 953-37 Nitric Oxide is a Potent Arterial Duct Dilator in Neonatal Lambs. Journal of the American College of Cardiology. 25(2). 201A–201A.

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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