Cameron Ackerley

165 papers receiving 8.1k citations

Peers

Cameron Ackerley
Comparison fields: 5 of 145
  • Rheumatology 1.2k
  • Developmental Neuroscience 195
  • Cellular and Molecular Neuroscience 847
  • Physiology 1.1k
  • Molecular Biology 3.2k
Replace Shigeo Kure with:
Shigeo Kure Japan
Masahide Asano Japan
Leonard J. Deftos United States
Toshiyuki Takai Japan
Charles T. Roberts United States
O. Wesley McBride United States
Masafumi Tsujimoto Japan
Lester F. Lau United States
Shigeru Kobayashi Japan
Yoram Groner Israel
Cameron Ackerley relative to Shigeo Kure Japan Shigeo Kure's profile →
Citations per field
00.5×1.5×1.8×
Shigeo Kure · 1×
Citations per year

Countries citing papers authored by Cameron Ackerley

Since Specialization
Citations

This map shows the geographic impact of Cameron 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 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 Ackerley more than expected).

Fields of papers citing papers by Cameron Ackerley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997459
2 1991437
3 2003391
4 1994260
5 2003251
6 2001247
7 2003238
8 2005137
9 2004134
10 1997134
11 2004126
12 2005124
13 2003123
14 2009122
15 2018119
16 2000113
17 2004109
18 2011106
19 2016106
20 200898

About Cameron Ackerley

Cameron Ackerley is a scholar working on Molecular Biology, Rheumatology, Pulmonary and Respiratory Medicine, Physiology and Genetics, having authored 167 papers that have together received 8.2k indexed citations. Recurring topics across this work include Glycogen Storage Diseases and Myoclonus (23 papers), Neonatal Respiratory Health Research (19 papers), Genetics and Neurodevelopmental Disorders (15 papers), Cystic Fibrosis Research Advances (13 papers), Congenital heart defects research (9 papers), Mycorrhizal Fungi and Plant Interactions (9 papers), RNA Research and Splicing (9 papers) and Lysosomal Storage Disorders Research (9 papers). The work is most often cited by research in Rheumatology (1.2k citations), Developmental Neuroscience (195 citations), Cellular and Molecular Neuroscience (847 citations), Physiology (1.1k citations) and Molecular Biology (3.2k citations). Cameron Ackerley has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Berge A. Minassian, Christine E. Bear, M.A. Moscarello, D. D. Wood, Julie Turnbull, Chris Boulias, R. L. Peterson, Fabrizio G. Mastronardi, Xiaochu Zhao and Stephen W. Scherer. Their work appears in journals such as Journal of Biological Chemistry, Annals of Neurology, Neurology, PLoS ONE 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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