Camilo Toro

11.2k citations
113 papers · 3.7k · h-index 33

Impact in

  • Neurology top 1%
    • Neurological disorders and treatments
    • Transcranial Magnetic Stimulation Studies
    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Motor Control and Adaptation

Papers in

Camilo Toro

110 papers receiving 3.7k citations

Peers

Camilo Toro
Comparison fields: 5 of 137
  • Neurology 708
  • Neurology 981
  • Cognitive Neuroscience 1.2k
  • Cellular and Molecular Neuroscience 872
  • Rheumatology 345
Replace Kristl G. Claeys with:
Kristl G. Claeys Belgium
Adrian Danek Germany
Martin Catala France
Umberto Aguglia Italy
Regina C. Armstrong United States
Daria Riva Italy
Shibeshih Belachew United States
Andreas Wree Germany
Takayuki Taniwaki Japan
Lou Brundin Sweden
Camilo Toro relative to Kristl G. Claeys Belgium Kristl G. Claeys's profile →
Citations per field
00.5×1.5×2.2×
Kristl G. Claeys · 1×
Citations per year

Countries citing papers authored by Camilo Toro

Since Specialization
Citations

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

Fields of papers citing papers by Camilo Toro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994260
2 1994235
3 2014197
4 1994170
5 1996149
6 2001117
7 1995112
8 2012100
9 201498
10 199794
11 199594
12 199588
13 201185
14 199382
15 201482
16 201881
17 199476
18 199676
19 199370
20 200068

About Camilo Toro

Camilo Toro is a scholar working on Molecular Biology, Neurology, Genetics, Physiology and Cellular and Molecular Neuroscience, having authored 113 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neurological disorders and treatments (20 papers), Lysosomal Storage Disorders Research (17 papers), Genomics and Rare Diseases (10 papers), EEG and Brain-Computer Interfaces (9 papers), Autoimmune and Inflammatory Disorders Research (8 papers), Genetic Neurodegenerative Diseases (8 papers), Glycogen Storage Diseases and Myoclonus (8 papers) and Genetic and Kidney Cyst Diseases (6 papers). The work is most often cited by research in Neurology (708 citations), Neurology (981 citations), Cognitive Neuroscience (1.2k citations), Cellular and Molecular Neuroscience (872 citations) and Rheumatology (345 citations). Camilo Toro has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Mark Hallett, Günther Deuschl, Thomas A. Zeffiro, Robert W. Thatcher, William A. Gahl, Josep Valls‐Solé, Cynthia J. Tifft, David R. Adams, Joseph Y. Matsumoto and Susumu Satô. Their work appears in journals such as Molecular Genetics and Metabolism, Neurology, Human Mutation, Movement Disorders and Brain.

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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