Pete LaViolette

753 citations
12 papers · 608 · h-index 7

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • MRI in cancer diagnosis
    • Advanced Neuroimaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced MRI Techniques and Applications

Papers in

Pete LaViolette

11 papers receiving 596 citations

Peers

Pete LaViolette
Comparison fields: 5 of 78
  • Genetics 199
  • Radiology, Nuclear Medicine and Imaging 286
  • Cognitive Neuroscience 216
  • Psychiatry and Mental health 120
  • Neurology 44
Replace Etienne Stanus with:
Etienne Stanus Belgium
Pilar M. Ferraro Italy
Anne‐Laure Lemaitre France
Parameswaran M. Iyer Ireland
Kelly M. Leyden United States
Valeria Elisa Contarino Italy
Hans Holthausen Germany
Hans‐Peter Müller Germany
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Citations per field
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Citations per year

Countries citing papers authored by Pete LaViolette

Since Specialization
Citations

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

Fields of papers citing papers by Pete LaViolette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2010235
2 2010214
3 201055
4 201048
5 201128
6 197213
7 19787
8 19664
9
[Comparative study of normal and psoriatic skin using a micromethod for detection of enzymatic activity].
19801
10 20141
11
[Tyrosinases of the pigmented portions of the eye in 4 species of rodent].
19761
12
[Joining in vitro of skin of adult mammals].
19581

About Pete LaViolette

Pete LaViolette is a scholar working on Molecular Biology, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Genetics and Psychiatry and Mental health, having authored 12 papers that have together received 608 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (2 papers), MRI in cancer diagnosis (2 papers), Memory and Neural Mechanisms (2 papers), Functional Brain Connectivity Studies (2 papers), Dementia and Cognitive Impairment Research (2 papers), Glioma Diagnosis and Treatment (2 papers), Invertebrate Immune Response Mechanisms (1 paper) and Anatomy and Medical Technology (1 paper). The work is most often cited by research in Genetics (199 citations), Radiology, Nuclear Medicine and Imaging (286 citations), Cognitive Neuroscience (216 citations), Psychiatry and Mental health (120 citations) and Neurology (44 citations). Pete LaViolette has collaborated with scholars based in United States and France. Frequent co-authors include Reisa A. Sperling, Kelly O’Keefe, Jennifer Connelly, Kathleen M. Schmainda, Mark G. Malkin, Benjamin M. Ellingson, Scott D. Rand, Amy DeLuca, Brad C. Dickerson and Deborah Blacker. Their work appears in journals such as Journal of Neuro-Oncology, Human Brain Mapping, Neuropsychologia, Journal of Magnetic Resonance Imaging and Neuro-Oncology.

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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