S. W. Morris

1.1k total citations
22 papers, 701 citations indexed

About

S. W. Morris is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, S. W. Morris has authored 22 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in S. W. Morris's work include Genetic Associations and Epidemiology (6 papers), Bipolar Disorder and Treatment (4 papers) and Genetics and Neurodevelopmental Disorders (4 papers). S. W. Morris is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Bipolar Disorder and Treatment (4 papers) and Genetics and Neurodevelopmental Disorders (4 papers). S. W. Morris collaborates with scholars based in United Kingdom, United States and Australia. S. W. Morris's co-authors include David J. Porteous, Kathryn L. Evans, Pippa A. Thomson, Douglas Blackwood, A. Christoforou, Ben Pickard, Walter Muir, David N. Shapiro, A. Thomas Look and Marc Valentine and has published in prestigious journals such as Science, The Lancet and Nucleic Acids Research.

In The Last Decade

S. W. Morris

21 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. W. Morris United Kingdom 12 319 244 126 101 89 22 701
Herlina Y. Handoko Australia 16 297 0.9× 213 0.9× 85 0.7× 87 0.9× 72 0.8× 32 674
Li‐Jin Chew United States 16 469 1.5× 77 0.3× 153 1.2× 79 0.8× 45 0.5× 24 1.2k
Rosa Guerrero Spain 17 232 0.7× 170 0.7× 151 1.2× 78 0.8× 121 1.4× 38 802
Elena Amendola Italy 18 687 2.2× 485 2.0× 135 1.1× 103 1.0× 60 0.7× 31 1.1k
Matthew Covey United States 15 332 1.0× 104 0.4× 140 1.1× 34 0.3× 29 0.3× 17 807
Jackelien van Scheppingen Netherlands 19 386 1.2× 133 0.5× 174 1.4× 71 0.7× 138 1.6× 23 859
G Fossati Italy 15 259 0.8× 83 0.3× 167 1.3× 138 1.4× 38 0.4× 31 836
Rita Cittadella Italy 18 274 0.9× 141 0.6× 237 1.9× 55 0.5× 187 2.1× 36 1.0k
Hiroaki Kanki Japan 13 592 1.9× 145 0.6× 231 1.8× 99 1.0× 28 0.3× 15 890
Michael Korostishevsky Israel 15 357 1.1× 148 0.6× 58 0.5× 30 0.3× 63 0.7× 27 718

Countries citing papers authored by S. W. Morris

Since Specialization
Citations

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

Fields of papers citing papers by S. W. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. W. Morris. 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 S. W. Morris. The network helps show where S. W. Morris may publish in the future.

Co-authorship network of co-authors of S. W. Morris

This figure shows the co-authorship network connecting the top 25 collaborators of S. W. Morris. A scholar is included among the top collaborators of S. W. Morris 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 S. W. Morris. S. W. Morris 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.
2.
Teng, Shaolei, Pippa A. Thomson, Siobhan McCarthy, et al.. (2017). Rare disruptive variants in the DISC1 Interactome and Regulome: association with cognitive ability and schizophrenia. Molecular Psychiatry. 23(5). 1270–1277. 37 indexed citations
3.
Pickard, Ben, A. Christoforou, Pippa A. Thomson, et al.. (2008). Interacting haplotypes at the NPAS3 locus alter risk of schizophrenia and bipolar disorder. Molecular Psychiatry. 14(9). 874–884. 79 indexed citations
4.
Christoforou, A., Stéphanie Le Hellard, Pippa A. Thomson, et al.. (2007). Association analysis of the chromosome 4p15–p16 candidate region for bipolar disorder and schizophrenia. Molecular Psychiatry. 12(11). 1011–1025. 35 indexed citations
5.
Pickard, Ben, A. Christoforou, Pippa A. Thomson, et al.. (2006). A case-control association study on the NPAS3 gene. American Journal of Medical Genetics Part A. 1 indexed citations
6.
Pickard, Ben, M. P. Malloy, A. Christoforou, et al.. (2006). Cytogenetic and genetic evidence supports a role for the kainate-type glutamate receptor gene, GRIK4, in schizophrenia and bipolar disorder. Molecular Psychiatry. 11(9). 847–857. 92 indexed citations
7.
Thomson, Pippa A., A. Christoforou, S. W. Morris, et al.. (2006). Association of Neuregulin 1 with schizophrenia and bipolar disorder in a second cohort from the Scottish population. Molecular Psychiatry. 12(1). 94–104. 96 indexed citations
8.
Underwood, Sarah, A. Christoforou, Pippa A. Thomson, et al.. (2006). Association analysis of the chromosome 4p-located G protein-coupled receptor 78 (GPR78) gene in bipolar affective disorder and schizophrenia. Molecular Psychiatry. 11(4). 384–394. 21 indexed citations
9.
Hellard, Stéphanie Le, Colin A. Semple, S. W. Morris, David J. Porteous, & Kathryn L. Evans. (2001). Physical mapping: integrating computational and molecular genetic data. Annals of Human Genetics. 65(3). 221–228. 3 indexed citations
10.
Semple, Colin A., S. W. Morris, David J. Porteous, & Kathryn L. Evans. (2000). In silico identification of transcripts and SNPs from a region of 4p linked with bipolar affective disorder. Bioinformatics. 16(8). 735–738. 2 indexed citations
11.
Asherson, Philip, R. Mant, Nigel Williams, et al.. (1998). A study of chromosome 4p markers and dopamine D5 receptor gene in schizophrenia and bipolar disorder. Molecular Psychiatry. 3(4). 310–320. 57 indexed citations
12.
Blackwood, D., Walter Muir, Patrick O. McKeon, et al.. (1996). No evidence for an allelic association between bipolar disorder and the dopamine DRD5 receptor. The American Journal of Human Genetics. 59. 1 indexed citations
13.
He, Lin, S. W. Morris, Alan Lennon, et al.. (1996). A genome-wide search for linkage in a large bipolar family. Psychiatric Genetics. 6(3). 123–130. 6 indexed citations
14.
He, Lin, David Mansfield, A. F. Brown, et al.. (1995). Automated linkage analysis in psychiatric disorders. American Journal of Medical Genetics. 60(3). 192–198. 3 indexed citations
15.
Clair, David St, et al.. (1995). Hereditary multi-infarct dementia unlinked to chromosome 19q12 in a large Scottish pedigree: evidence of probable locus heterogeneity.. Journal of Medical Genetics. 32(1). 57–60. 15 indexed citations
16.
Jones, Claire Taylor, S. W. Morris, Celia M. Yates, et al.. (1992). Mutation in codon 713 of the β amyloid precursor protein gene presenting with schizophrenia. Nature Genetics. 1(4). 306–309. 58 indexed citations
17.
Morris, S. W., et al.. (1991). Dinucleotide repeat polymorphism at the human tyrosinase gene. Nucleic Acids Research. 19(24). 6968–6968. 18 indexed citations
18.
Price, W. H., et al.. (1989). DNA RESTRICTION FRAGMENT LENGTH POLYMORPHISMS AS MARKERS OF FAMILIAL CORONARY HEART DISEASE. The Lancet. 333(8652). 1407–1411. 34 indexed citations
19.
Morris, S. W.. (1988). Origin of mutation in neoplasia. Medical Hypotheses. 27(3). 209–214. 2 indexed citations
20.

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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