Malcolm Casale

19 papers receiving 1.1k citations

Peers

Malcolm Casale
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 552
  • Computer Graphics and Computer-Aided Design 106
  • Neurology 218
  • Developmental Neuroscience 89
  • Biological Psychiatry 23
Replace Yiheng Xie with:
Yiheng Xie United States
Kenneth P. Vives United States
David Hunt United States
Han Yan China
John K. Stevens Canada
Julien Dauguet France
Daniel Gibson United States
Akimasa Ishida Japan
Badri Roysam United States
Volker Steuber United Kingdom
Malcolm Casale relative to Yiheng Xie United States Yiheng Xie's profile →
Citations per field
00.5×3.7×
Yiheng Xie · 1×
Citations per year

Countries citing papers authored by Malcolm Casale

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Casale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007243
2 2007228
3 2017199
4 200386
5 200875
6 198558
7 198757
8 201428
9 198927
10 201925
11
Modeling protein homopolymeric repeats: possible polyglutamine structural motifs for Huntington's disease.
199822
12 200217
13 200915
14 201913
15 200812
16 202211
17 198910
18 19927
19 19912
20
AnOverview ofAnalytic Solid Modeling
19851

About Malcolm Casale

Malcolm Casale is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Computational Mechanics, Mechanics of Materials and Cognitive Neuroscience, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (5 papers), Advanced Numerical Analysis Techniques (4 papers), Numerical methods in engineering (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Computational Geometry and Mesh Generation (3 papers), Neural dynamics and brain function (3 papers) and Metal Forming Simulation Techniques (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (552 citations), Computer Graphics and Computer-Aided Design (106 citations), Neurology (218 citations), Developmental Neuroscience (89 citations) and Biological Psychiatry (23 citations). Malcolm Casale has collaborated with scholars based in United States, Italy and Czechia. Frequent co-authors include Gary Lynch, Christine M. Gall, Lulu Y. Chen, Christopher Rex, Danielle A. Simmons, Leslie M. Thompson, J.E. Bobrow, Laura L Colgin, Ryan G. Lim and Fernando Brücher. Their work appears in journals such as Human Molecular Genetics, PLoS ONE, IEEE Computer Graphics and Applications, Engineering With Computers and Computer-Aided Design.

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.

Explore authors with similar magnitude of impact