Michael Lush

7.9k total citations · 1 hit paper
22 papers, 2.3k citations indexed

About

Michael Lush is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Michael Lush has authored 22 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 6 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Michael Lush's work include Genomic variations and chromosomal abnormalities (4 papers), Genetic Associations and Epidemiology (3 papers) and BRCA gene mutations in cancer (3 papers). Michael Lush is often cited by papers focused on Genomic variations and chromosomal abnormalities (4 papers), Genetic Associations and Epidemiology (3 papers) and BRCA gene mutations in cancer (3 papers). Michael Lush collaborates with scholars based in United Kingdom, Canada and Australia. Michael Lush's co-authors include Elspeth A. Bruford, Matt W. Wright, Ruth C. Lovering, Hester Wain, Sue Povey, Sue Povey, Andreas Ziegler, John Trowsdale, Laurens Wilming and C. Conover Talbot and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Michael Lush

21 papers receiving 2.3k citations

Hit Papers

Gene map of the extended humanMHC 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Lush United Kingdom 14 1.2k 615 476 255 172 22 2.3k
Yoshihiko Araki Japan 29 1.3k 1.1× 584 0.9× 460 1.0× 159 0.6× 223 1.3× 129 2.6k
T. Heinemeyer Germany 4 1.1k 0.9× 344 0.6× 308 0.6× 196 0.8× 216 1.3× 4 1.7k
Hester Wain United Kingdom 15 1.5k 1.3× 1.2k 1.9× 501 1.1× 217 0.9× 404 2.3× 21 3.6k
Pierluigi Strippoli Italy 27 1.5k 1.3× 332 0.5× 355 0.7× 315 1.2× 289 1.7× 89 2.6k
Kerstin Quandt Germany 7 1.9k 1.6× 371 0.6× 435 0.9× 283 1.1× 312 1.8× 10 2.6k
Korbinian Grote Germany 11 1.4k 1.2× 245 0.4× 345 0.7× 237 0.9× 200 1.2× 16 2.0k
Holger Karas Germany 6 2.0k 1.7× 432 0.7× 475 1.0× 308 1.2× 349 2.0× 9 2.8k
Sarah Kummerfeld Australia 21 2.2k 1.9× 429 0.7× 384 0.8× 329 1.3× 189 1.1× 40 3.1k
Ann‐Christine Syvänen Sweden 28 1.7k 1.5× 351 0.6× 1.1k 2.2× 351 1.4× 230 1.3× 58 3.3k
María Gutiérrez‐Arcelus United States 17 1.2k 1.0× 395 0.6× 761 1.6× 299 1.2× 169 1.0× 30 2.2k

Countries citing papers authored by Michael Lush

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lush

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Lush. A scholar is included among the top collaborators of Michael Lush 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 Lush. Michael Lush 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.
Petitjean, Carmen, Joe Dennis, Jonathan P. Tyrer, et al.. (2024). Evaluating the performance of the Breast and Ovarian Analysis of Disease Incidence Algorithm model in predicting 10-year breast cancer risks in UK Biobank. JNCI Journal of the National Cancer Institute. 117(5). 948–958.
2.
Nyberg, Tommy, Mark N. Brook, Andrew Lee, et al.. (2022). CanRisk-Prostate: A Comprehensive, Externally Validated Risk Model for the Prediction of Future Prostate Cancer. Journal of Clinical Oncology. 41(5). 1092–1104. 21 indexed citations
3.
Pirie, Ailith, Angela Wood, Michael Lush, Jonathan P. Tyrer, & Paul D.P. Pharoah. (2015). The effect of rare variants on inflation of the test statistics in case–control analyses. BMC Bioinformatics. 16(1). 53–53. 5 indexed citations
4.
Seal, Ruth L., Susan M. Gordon, Michael Lush, Matt W. Wright, & Elspeth A. Bruford. (2010). genenames.org: the HGNC resources in 2011. Nucleic Acids Research. 39(Database). D514–D519. 174 indexed citations
5.
Bruford, Elspeth A., Michael Lush, Matt W. Wright, et al.. (2007). The HGNC Database in 2008: a resource for the human genome. Nucleic Acids Research. 36(Database). D445–D448. 162 indexed citations
6.
Eyre, T. A., Matt W. Wright, Michael Lush, & Elspeth A. Bruford. (2006). HCOP: a searchable database of human orthology predictions. Briefings in Bioinformatics. 8(1). 2–5. 57 indexed citations
7.
Wright, Matt W., T. A. Eyre, Michael Lush, Sue Povey, & Elspeth A. Bruford. (2005). HCOP: The HGNC comparison of orthology predictions search tool. Mammalian Genome. 16(11). 827–828. 31 indexed citations
8.
Horton, Roger W., Laurens Wilming, Vikki Rand, et al.. (2004). Gene map of the extended humanMHC. Nature Reviews Genetics. 5(12). 889–899. 820 indexed citations breakdown →
9.
Wain, Hester, Elspeth A. Bruford, Ruth C. Lovering, et al.. (2002). Guidelines for Human Gene Nomenclature. Genomics. 79(4). 464–470. 310 indexed citations
10.
Povey, Sue, Ruth C. Lovering, Elspeth A. Bruford, et al.. (2001). The HUGO Gene Nomenclature Committee (HGNC). Human Genetics. 109(6). 678–680. 381 indexed citations
11.
Glynn, Paul, et al.. (1999). Molecular cloning of neuropathy target esterase (NTE). Chemico-Biological Interactions. 119-120. 513–517. 13 indexed citations
12.
Lush, Michael, Yong Li, D. J. Read, Anthony C. Willis, & Paul Glynn. (1998). Neuropathy target esterase and a homologous Drosophila neurodegeneration-associated mutant protein contain a novel domain conserved from bacteria to man. Biochemical Journal. 332(1). 1–4. 122 indexed citations
13.
Flint, Tracey, Michael Lush, David C. Rubinsztein, et al.. (1994). The EUROGEM map of human chromosome X.. PubMed. 2(3). 248–9. 2 indexed citations
14.
Schürmann, Martin, Rajendra Kumar‐Singh, Michael Lush, et al.. (1994). The EUROGEM map of human chromosome 3.. PubMed. 2(3). 208–9. 2 indexed citations
15.
Kapsetaki, M., Maria Kokkinaki, Barbora Lubyová, et al.. (1994). The EUROGEM map of human chromosome 10.. PubMed. 2(3). 222–3. 2 indexed citations
16.
Goudie, David, Martin Yuille, Margaret Leversha, et al.. (1993). Multiple self–healing squamous epitheliomata (ESS1) mapped to chromosome 9q22–q31 in families with common ancestry. Nature Genetics. 3(2). 165–169. 68 indexed citations
17.
Richards, Frances M., Eamonn R. Maher, Farida Latif, et al.. (1993). Detailed genetic mapping of the von Hippel-Lindau disease tumour suppressor gene.. Journal of Medical Genetics. 30(2). 104–107. 44 indexed citations
18.
Crossey, Paul A., Eamonn R. Maher, Michael H. Jones, et al.. (1993). Genetic linkage between Von Hippel—Lindau disease and three microsatellite polymorphisms refines the localisation of the VHL locus. Human Molecular Genetics. 2(3). 279–282. 43 indexed citations
19.
Furlong, Robert A., et al.. (1992). Four dinucleotide repeat polymorphisms on chromosome 9 (D9S143–146). Human Molecular Genetics. 1(6). 447–447. 10 indexed citations
20.
Clarke, Adrienne E., Marilyn A. Anderson, Antony Bacic, et al.. (1990). Recent developments in molecular genetics of self-incompatibility.. 129. 327–334. 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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