P.M. Conneally

5.6k citations
62 papers · 2.9k · h-index 30

Impact in

Papers in

P.M. Conneally

57 papers receiving 2.8k citations

Peers

P.M. Conneally
Comparison fields: 5 of 110
  • Cellular and Molecular Neuroscience 897
  • Neurology 232
  • Neurology 390
  • Orthopedics and Sports Medicine 215
  • Genetics 711
Replace Michael A. Nalls with:
Michael A. Nalls United States
Onofre Combarros Spain
Masayo Fujita Japan
Anita L. DeStefano United States
Cezary Żekanowski Poland
Michael T. Falduto United States
Pascual Sánchez‐Juan Spain
Margaret A. Pericak‐Vance United States
Pentti J. Tienari Finland
Kenji Takami Japan
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Citations per field
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Citations per year

Countries citing papers authored by P.M. Conneally

Since Specialization
Citations

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

Fields of papers citing papers by P.M. Conneally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.M. Conneally. 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 P.M. Conneally. The network helps show where P.M. Conneally may publish in the future.

Co-authors

The 25 scholars most cited alongside P.M. Conneally, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P.M. Conneally Line = papers co-authored together P.M. Conneally links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985202
2 2000196
3 2000173
4 1999157
5 1992154
6 2000154
7 1988135
8 1998118
9 199393
10 200193
11 198993
12 198983
13 200082
14
A genetic model for age at onset in Huntington disease.
198578
15 199563
16
Inverse relationship between age at onset of Huntington disease and paternal age suggests involvement of genetic imprinting.
199257
17 199353
18 200047
19
The normal Huntington disease (HD) allele, or a closely linked gene, influences age at onset of HD.
199347
20
Two models for a maternal factor in the inheritance of Huntington disease.
198347

About P.M. Conneally

P.M. Conneally is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Physiology and Neurology, having authored 62 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (21 papers), Alzheimer's disease research and treatments (10 papers), Genetic Associations and Epidemiology (5 papers), Mitochondrial Function and Pathology (5 papers), Genomic variations and chromosomal abnormalities (4 papers), Bioinformatics and Genomic Networks (4 papers), DNA Repair Mechanisms (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (897 citations), Neurology (232 citations), Neurology (390 citations), Orthopedics and Sports Medicine (215 citations) and Genetics (711 citations). P.M. Conneally has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Lindsay A. Farrer, M. E. Hodes, R.M. Ridley, Chris Frith, Tatiana M. Foroud, James F. Gusella, Jonathan L. Haines, Jacqueline S. Gray, Allen D. Roses and James A. Trofatter. Their work appears in journals such as Journal of Medical Genetics, Genetic Epidemiology, Genomics, Human Genetics and Journal of Bone and Mineral Research.

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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