James Macpherson

1.1k total citations
17 papers, 677 citations indexed

About

James Macpherson is a scholar working on Genetics, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, James Macpherson has authored 17 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 6 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in James Macpherson's work include Genetics and Neurodevelopmental Disorders (15 papers), Genomic variations and chromosomal abnormalities (7 papers) and Autism Spectrum Disorder Research (6 papers). James Macpherson is often cited by papers focused on Genetics and Neurodevelopmental Disorders (15 papers), Genomic variations and chromosomal abnormalities (7 papers) and Autism Spectrum Disorder Research (6 papers). James Macpherson collaborates with scholars based in United Kingdom, United States and Denmark. James Macpherson's co-authors include Patricia A. Jacobs, David L. Nelson, Evan E. Eichler, Stephanie L. Sherman, Sarah L. Nolin, Anne Glicksman, Sheila Youings, H. Bullman, François Rousseau and Helle Hjalgrim and has published in prestigious journals such as The American Journal of Human Genetics, Human Molecular Genetics and Acta Neuropathologica.

In The Last Decade

James Macpherson

17 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Macpherson United Kingdom 11 570 328 303 71 36 17 677
Doris Wöhrle Germany 6 492 0.9× 193 0.6× 425 1.4× 89 1.3× 13 0.4× 8 619
Anne Glicksman United States 14 1.0k 1.8× 693 2.1× 519 1.7× 93 1.3× 17 0.5× 18 1.1k
Amy K. Sullivan United States 7 756 1.3× 463 1.4× 352 1.2× 56 0.8× 90 2.5× 8 894
Aimee Anido United States 7 397 0.7× 250 0.8× 271 0.9× 50 0.7× 48 1.3× 8 566
Elisabeth Gabau Spain 16 463 0.8× 103 0.3× 336 1.1× 39 0.5× 45 1.3× 36 675
Liane Abrams United States 8 422 0.7× 216 0.7× 238 0.8× 97 1.4× 6 0.2× 16 526
George E. Houck United States 14 752 1.3× 456 1.4× 447 1.5× 62 0.9× 20 0.6× 26 909
Marie‐Françoise Croquette France 7 714 1.3× 327 1.0× 464 1.5× 38 0.5× 15 0.4× 11 842
Weiya He United States 8 418 0.7× 258 0.8× 193 0.6× 29 0.4× 56 1.6× 14 506
Terry Vrijenhoek Netherlands 8 440 0.8× 104 0.3× 302 1.0× 58 0.8× 13 0.4× 11 668

Countries citing papers authored by James Macpherson

Since Specialization
Citations

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

Fields of papers citing papers by James Macpherson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Macpherson

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

All Works

17 of 17 papers shown
1.
Bunyan, David J., et al.. (2022). Apparent Homozygosity for a gr/gr AZFc Deletion in A 47,XYY Man with Oligozoospermia and Secondary Infertility. Journal of Reproduction & Infertility. 23(4). 296–302. 1 indexed citations
2.
Nolin, Sarah L., Anne Glicksman, Emily G. Allen, et al.. (2019). Expansions and contractions of the FMR1 CGG repeat in 5,508 transmissions of normal, intermediate, and premutation alleles. American Journal of Medical Genetics Part A. 179(7). 1148–1156. 47 indexed citations
3.
Pappalardo, Morena, Francesca Collu, James Macpherson, et al.. (2017). Investigating Ebola virus pathogenicity using molecular dynamics. BMC Genomics. 18(S5). 566–566. 8 indexed citations
4.
5.
Macpherson, James & Abid Sharif. (2014). Practice Guidelines for Molecular Diagnosis of Fragile X Syndrome. 4 indexed citations
6.
Murray, Anna, Minouk J. Schoemaker, Claire E. Bennett, et al.. (2013). Population-based estimates of the prevalence of FMR1 expansion mutations in women with early menopause and primary ovarian insufficiency. Genetics in Medicine. 16(1). 19–24. 59 indexed citations
7.
Hammans, Simon, et al.. (2010). New neuropathological findings in Unverricht–Lundborg disease: neuronal intranuclear and cytoplasmic inclusions. Acta Neuropathologica. 121(3). 421–427. 25 indexed citations
8.
Biancalana, Valérie & James Macpherson. (2004). Fragile X Disease. Humana Press eBooks. 92. 157–182. 1 indexed citations
9.
Nolin, Sarah L., W. Ted Brown, Anne Glicksman, et al.. (2003). Expansion of the Fragile X CGG Repeat in Females with Premutation or Intermediate Alleles. The American Journal of Human Genetics. 72(2). 454–464. 276 indexed citations
10.
Murray, Anna, Sarah Ennis, Sheila Youings, et al.. (2000). Stability and haplotype analysis of the FRAXE region. European Journal of Human Genetics. 8(8). 583–589. 4 indexed citations
11.
Larsen, Lars Allan, et al.. (2000). Haplotype and AGG-interspersion analysis ofFMR1 (CGG)n alleles in the Danish population: Implications for multiple mutational pathways towards fragile X alleles. American Journal of Medical Genetics. 93(2). 99–106. 20 indexed citations
12.
Chiurazzi, Pietro, et al.. (1999). DNA panel for interlaboratory standardization of haplotype studies on the fragile X syndrome and proposal for a new allele nomenclature. American Journal of Medical Genetics. 83(4). 347–349. 1 indexed citations
13.
Falik‐Zaccai, Tzipora C., Michal Yalon, Zvi Borochowitz, et al.. (1997). Predisposition to the fragile X syndrome in Jews of Tunisian descent is due to the absence of AGG interruptions on a rare Mediterranean haplotype.. PubMed. 60(1). 103–12. 54 indexed citations
14.
Eichler, Evan E., Holly A. Hammond, James Macpherson, Patricia A. Ward, & David L. Nelson. (1995). Population survey of the human FMR1 CGG repeat substructure suggests biased polarity for the loss of AGG interruptions. Human Molecular Genetics. 4(12). 2199–2208. 60 indexed citations
15.
Macpherson, James, H. Bullman, Sheila Youings, & Patricia A. Jacobs. (1994). Insert size and flanking haplotype in fragile X and normal populations: possible multiple origins for the fragile X mutation. Human Molecular Genetics. 3(3). 399–405. 69 indexed citations
16.
Macpherson, James, John F. Harvey, Tessa Webb, et al.. (1992). A reinvestigation of thirty three fragile(X) families using probe StB12.3. American Journal of Medical Genetics. 43(5). 905–912. 15 indexed citations
17.
Dennis, Nicholas R., et al.. (1992). Two families with Xq27.3 fragility, no detectable insert in the FMR‐1 gene, mild mental impairment, and absence of the Martin‐Bell phenotype. American Journal of Medical Genetics. 43(1-2). 232–236. 21 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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