P.M. Conneally

5.7k citations
63 papers · 3.4k indexed · h-index 33

Impact in

Papers in

P.M. Conneally

61 papers receiving 3.3k citations

Peers

P.M. Conneally
Comparison fields: 5 of 120
  • Cellular and Molecular Neuroscience 993
  • Genetics 1.0k
  • Neurology 267
  • Neurology 487
  • Molecular Biology 1.9k
Replace P. Michael Conneally with:
P. Michael Conneally United States
Philippe Brachet France
Matthias Vorgerd Germany
P. M. Conneally United States
James K. Pretorius United States
Teresa L. Wood United States
Margaret A. Pericak‐Vance United States
David G. Wells United States
Yoshigoro Kuroiwa Japan
Pascual Sánchez‐Juan Spain
P.M. Conneally relative to P. Michael Conneally United States P. Michael Conneally's profile →
Citations per field
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P. Michael Conneally · 1×
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-authorship network

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
#Work
1 200047
2 2000153
3 200082
4 199932
5 1999158
6 199939
7 199844
8 199728
9 199710
10 199613
11 199562
12 199231
13 19921
14 199136
15 198921
16 19889
17 197815
18 197627
19 19764
20 197613

About P.M. Conneally

P.M. Conneally is a scholar working on Cellular and Molecular Neuroscience, Genetics, Aging, Physiology and Molecular Biology, having authored 63 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (21 papers), Alzheimer's disease research and treatments (11 papers), Mitochondrial Function and Pathology (6 papers), Genetic Associations and Epidemiology (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Neurological disorders and treatments (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (993 citations), Genetics (1.0k citations), Neurology (267 citations), Neurology (487 citations) and Molecular Biology (1.9k citations). P.M. Conneally has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Lindsay A. Farrer, J. Ott, M. E. Hodes, Tatiana M. Foroud, R.M. Ridley, Chris Frith, James F. Gusella, Jonathan L. Haines, Jacqueline S. Gray and N.E. Morton. Their work appears in journals such as Cytogenetic and Genome Research, Journal of Medical Genetics, Genetic Epidemiology, Genomics 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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