Michael Moorhouse

3.4k total citations · 1 hit paper
19 papers, 1.9k citations indexed

About

Michael Moorhouse is a scholar working on Molecular Biology, Infectious Diseases and Cancer Research. According to data from OpenAlex, Michael Moorhouse has authored 19 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Cancer Research. Recurrent topics in Michael Moorhouse's work include Antimicrobial Resistance in Staphylococcus (3 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers) and DNA Repair Mechanisms (2 papers). Michael Moorhouse is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (3 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers) and DNA Repair Mechanisms (2 papers). Michael Moorhouse collaborates with scholars based in Netherlands, United States and Greece. Michael Moorhouse's co-authors include Peter J. van der Spek, Ruud Delwel, Peter J.M. Valk, Roel G.W. Verhaak, Bob Löwenberg, Sahar Barjesteh van Waalwijk van Doorn-Khosrovani, Judith M. Boer, H. Berna Beverloo, Claudia Erpelinck-Verschueren and Henri A. Verbrugh and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Investigation and The EMBO Journal.

In The Last Decade

Michael Moorhouse

17 papers receiving 1.9k citations

Hit Papers

Prognostically Useful Gene-Expression Profiles in Acute M... 2004 2026 2011 2018 2004 250 500 750

Peers

Michael Moorhouse
Pamela Cohen United States
Magdalena Frank United States
Ji Zhao United States
Nadine Weich United States
Michael Moorhouse
Citations per year, relative to Michael Moorhouse Michael Moorhouse (= 1×) peers Junji Nishida

Countries citing papers authored by Michael Moorhouse

Since Specialization
Citations

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

Fields of papers citing papers by Michael Moorhouse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Moorhouse

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

All Works

19 of 19 papers shown
1.
Moorhouse, Michael, et al.. (2022). Helping Those That Hide: Anticipated Stigmatization Drives Concealment and a Destructive Cycle of Debt. Journal of Marketing Research. 60(6). 1135–1153. 6 indexed citations
2.
Moorhouse, Michael, Hanna IJspeert, Saskia Hiltemann, et al.. (2014). ImmunoGlobulin galaxy (IGGalaxy) for simple determination and quantitation of immunoglobulin heavy chain rearrangements from NGS. BMC Immunology. 15(1). 59–59. 20 indexed citations
3.
IJspeert, Hanna, Gertjan J. Driessen, Michael Moorhouse, et al.. (2014). Similar recombination-activating gene (RAG) mutations result in similar immunobiological effects but in different clinical phenotypes. Journal of Allergy and Clinical Immunology. 133(4). 1124–1133.e1. 48 indexed citations
4.
Boer, Martin de, Cynthia K. Y. Ho, Judy Geissler, et al.. (2013). Extensive Variation in Gene Copy Number at the Killer Immunoglobulin-Like Receptor Locus in Humans. PLoS ONE. 8(6). e67619–e67619. 13 indexed citations
5.
Bralten, Linda B.C., Christel Kockx, Casper C. Hoogenraad, et al.. (2011). Absence of Common Somatic Alterations in Genes on 1p and 19q in Oligodendrogliomas. PLoS ONE. 6(7). e22000–e22000. 9 indexed citations
6.
Moorhouse, Michael & Hari Shanker Sharma. (2011). Recent advances in i-Gene tools and analysis: microarrays, next generation sequencing and mass spectrometry.. PubMed. 48(4). 215–25.
7.
Schumacher, Björn, Ingrid van der Pluijm, Michael Moorhouse, et al.. (2008). Delayed and Accelerated Aging Share Common Longevity Assurance Mechanisms. PLoS Genetics. 4(8). e1000161–e1000161. 156 indexed citations
8.
Melles∗, Damian C., Debby Bogaert, Justine Peeters, et al.. (2007). Nasopharyngeal co-colonization with Staphylococcus aureus and Streptococcus pneumoniae in children is bacterial genotype independent. Microbiology. 153(3). 686–692. 24 indexed citations
9.
Moorhouse, Michael, et al.. (2006). TF Target Mapper: A BLAST search tool for the identification of Transcription Factor target genes. BMC Bioinformatics. 7(1). 120–120. 7 indexed citations
10.
Verhaak, Roel G.W., Mathijs A. Sanders, Maarten Bijl, et al.. (2006). HeatMapper: powerful combined visualization of gene expression profile correlations, genotypes, phenotypes and sample characteristics. BMC Bioinformatics. 7(1). 337–337. 26 indexed citations
11.
Sharma, Hari S., et al.. (2006). DNA Microarray Analysis for Human Congenital Heart Disease. Cell Biochemistry and Biophysics. 44(1). 1–10. 23 indexed citations
12.
Jans, Judith, George A. Garinis, Wouter Schul, et al.. (2006). Differential Role of Basal Keratinocytes in UV-Induced Immunosuppression and Skin Cancer. Molecular and Cellular Biology. 26(22). 8515–8526. 48 indexed citations
13.
Hanifi‐Moghaddam, Payman, H.J. Kloosterboer, Marcel E. de Gooyer, et al.. (2005). Molecular Portrait of the Progestagenic and Estrogenic Actions of Tibolone: Behavior of Cellular Networks in Response to Tibolone. The Journal of Clinical Endocrinology & Metabolism. 90(2). 973–983. 22 indexed citations
14.
Garinis, George A., James R. Mitchell, Michael Moorhouse, et al.. (2005). Transcriptome analysis reveals cyclobutane pyrimidine dimers as a major source of UV‐induced DNA breaks. The EMBO Journal. 24(22). 3952–3962. 133 indexed citations
15.
Valk, Peter J.M., Roel G.W. Verhaak, Claudia Erpelinck-Verschueren, et al.. (2004). Prognostically Useful Gene-Expression Profiles in Acute Myeloid Leukemia. New England Journal of Medicine. 350(16). 1617–1628. 997 indexed citations breakdown →
16.
Melles∗, Damian C., Hélène Boelens, Susan V. Snijders, et al.. (2004). Natural population dynamics and expansion of pathogenic clones of Staphylococcus aureus. Journal of Clinical Investigation. 114(12). 1732–1740. 195 indexed citations
17.
Moorhouse, Michael & Paul Barry. (2004). Bioinformatics Biocomputing and Perl. 4 indexed citations
18.
Melles∗, Damian C., Hélène Boelens, Susan V. Snijders, et al.. (2004). Natural population dynamics and expansion of pathogenic clones of Staphylococcus aureus. Journal of Clinical Investigation. 114(12). 1732–1740. 189 indexed citations
19.
Moorhouse, Michael, et al.. (2004). Bioinformatics Biocomputing and Perl: An Introduction to Bioinformatics Computing Skills and Practice. 1 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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