P. M. Conneally

6.5k citations
61 papers · 3.9k indexed · 1 hit paper · h-index 26
Topics
Genetic Neurodegenerative Diseases (8 papers)Alzheimer's disease research and treatments (6 papers)Amyloidosis: Diagnosis, Treatment, Outcomes (5 papers)

In The Last Decade

P. M. Conneally

58 papers receiving 3.7k citations

Hit Papers

Protective effect of apolipoprotein E type 2 allele for l...199420262004201519944008001.2k

Peers

P. M. Conneally
Comparison fields: 5 of 123
  • Molecular Biology 1.8k
  • Physiology 1.5k
  • Cellular and Molecular Neuroscience 760
  • Genetics 659
  • Psychiatry and Mental health 531
Replace Masayuki Sasaki with:
Masayuki Sasaki Japan
José Brás United States
Benedikt Volk Germany
Stephen Sawcer United Kingdom
Richard M. Torack United States
Yves Robitaille Canada
J. W. Neal United Kingdom
Ming‐Yi Chung Taiwan
Jonathan A. Prince Sweden
John A. Duncan United States
P. M. Conneally relative to Masayuki Sasaki Japan Masayuki Sasaki's profile →
Citations per field
00.5×1.5×1.8×
Masayuki Sasaki · 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 of co-authors of P. M. Conneally

This figure shows the co-authorship network connecting the top 25 collaborators of P. M. Conneally. A scholar is included among the top collaborators of P. M. Conneally 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 P. M. Conneally. P. M. Conneally 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
#WorkIndexed citations
1 28
2 57
3 5
4 17
5 77
6 175
7 25
8
Protective effect of apolipoprotein E type 2 allele for late onset Alzheimer diseasebreakdown →
1414
9 44
10 3
11 0
12 49
13 8
14 60
15 68
16 136
17
Population genetic studies of retinitis pigmentosa.
247
18 1
19 26
20 5

About P. M. Conneally

P. M. Conneally is a scholar working on Cellular and Molecular Neuroscience, Hematology and Genetics, having authored 61 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (8 papers), Alzheimer's disease research and treatments (6 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (5 papers). The work is most often cited by research in Physiology (1.5k citations), Neurology (454 citations) and Cellular and Molecular Neuroscience (760 citations). P. M. Conneally has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Allen D. Roses, P. A. Locke, Ann M. Saunders, Elizabeth H. Corder, Ken Schmader, Warren J. Strittmatter, Jacqueline Rimmler, G. W. Small, Jonathan L. Haines and P. C. Gaskell. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and JAMA.

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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