Cameron A. Ackerley

11.1k citations
171 papers · 9.2k · h-index 52

Impact in

Papers in

Cameron A. Ackerley

170 papers receiving 8.8k citations

Peers

Cameron A. Ackerley
Comparison fields: 5 of 147
  • Rheumatology 1.3k
  • Molecular Biology 3.6k
  • Developmental Neuroscience 199
  • Physiology 1.2k
  • Cellular and Molecular Neuroscience 920
Replace Isabella Ceccherini with:
Isabella Ceccherini Italy
Andrei S. Chagin Sweden
May Christine V. Malicdan United States
Masafumi Tsujimoto Japan
Giancarlo Parenti Italy
Jan Peter Tuckermann Germany
Robert Layfield United Kingdom
Katsuya Okawa Japan
Yukiko Kurihara Japan
Rolf Mentlein Germany
Cameron A. Ackerley relative to Isabella Ceccherini Italy Isabella Ceccherini's profile →
Citations per field
00.5×2×3.3×
Isabella Ceccherini · 1×
Citations per year

Countries citing papers authored by Cameron A. Ackerley

Since Specialization
Citations

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

Fields of papers citing papers by Cameron A. Ackerley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cameron A. Ackerley. 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 Cameron A. Ackerley. The network helps show where Cameron A. Ackerley may publish in the future.

Co-authors

The 25 scholars most cited alongside Cameron A. Ackerley, 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 Cameron A. Ackerley Line = papers co-authored together Cameron A. Ackerley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997474
2 1991455
3 2003414
4 1994284
5 2001276
6 2003267
7 2003261
8 1997148
9 2004147
10 2005145
11 2003142
12 2004139
13 2009133
14 2005130
15 2018126
16 2004122
17 2000117
18 2008116
19 2013115
20 2016113

About Cameron A. Ackerley

Cameron A. Ackerley is a scholar working on Rheumatology, Molecular Biology, Physiology, Pulmonary and Respiratory Medicine and Genetics, having authored 171 papers that have together received 9.2k indexed citations. Recurring topics across this work include Glycogen Storage Diseases and Myoclonus (24 papers), Neonatal Respiratory Health Research (20 papers), Genetics and Neurodevelopmental Disorders (16 papers), Cystic Fibrosis Research Advances (13 papers), Mycorrhizal Fungi and Plant Interactions (9 papers), RNA Research and Splicing (9 papers), Lysosomal Storage Disorders Research (9 papers) and Congenital heart defects research (9 papers). The work is most often cited by research in Rheumatology (1.3k citations), Molecular Biology (3.6k citations), Developmental Neuroscience (199 citations), Physiology (1.2k citations) and Cellular and Molecular Neuroscience (920 citations). Cameron A. Ackerley has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Berge Arakel Minassian, Christine E. Bear, M.A. Moscarello, D. D. Wood, Julie Turnbull, R. L. Peterson, Chris Boulias, Fabrizio G. Mastronardi, Martin Post and Hugues B. Massicotte. Their work appears in journals such as Journal of Biological Chemistry, Annals of Neurology, Neurology, Acta Neuropathologica and Journal of Clinical Investigation.

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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