Fred Junn

630 citations
8 papers · 159 · h-index 5

Impact in

  • Neurology top 10%
    • Neurological disorders and treatments
    • Parkinson's Disease Mechanisms and Treatments
    • Botulinum Toxin and Related Neurological Disorders
    • Transcranial Magnetic Stimulation Studies
    • Genetic Neurodegenerative Diseases
    • Neuroscience and Neural Engineering

Papers in

Fred Junn

8 papers receiving 150 citations

Peers

Fred Junn
Comparison fields: 5 of 28
  • Neurology 134
  • Cellular and Molecular Neuroscience 88
  • Speech and Hearing 26
  • Neurology 13
  • Developmental Neuroscience 4
Replace Mahesh Padmanaban with:
Mahesh Padmanaban United States
Nana Izawa Japan
A. Castro Spain
Valentina Fioravanti Italy
Jean‐Marc Gurruchaga France
Criscely L. Go United States
Onanong Phokaewvarangkul Thailand
Rosalia A. Teleg Philippines
Amy Duffy United States
Christian Rosado United States
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Citations per field
00.5×1.5×2.5×
Mahesh Padmanaban · 1×
Citations per year

Countries citing papers authored by Fred Junn

Since Specialization
Citations

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

Fields of papers citing papers by Fred Junn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 199772
2 201238
3 199521
4 199819
5 20015
6 19942
7 20241
8 19941

About Fred Junn

Fred Junn is a scholar working on Neurology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Surgery and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 159 indexed citations. Recurring topics across this work include Neurological disorders and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Advanced Radiotherapy Techniques (1 paper), Prenatal Substance Exposure Effects (1 paper), Cardiac Arrhythmias and Treatments (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Dysphagia Assessment and Management (1 paper). The work is most often cited by research in Neurology (134 citations), Cellular and Molecular Neuroscience (88 citations), Speech and Hearing (26 citations), Neurology (13 citations) and Developmental Neuroscience (4 citations). Fred Junn has collaborated with scholars based in United States, Canada and Greece. Frequent co-authors include Jonathan O. Dostrovsky, Andrés M. Lozano, Michael Münz, Karen D. Davis, R.R. Tasker, Zelma H. T. Kiss, Jason M. Schwalb, Denise Collins, Peter A. LeWitt and David M. Yurek. Their work appears in journals such as Neuroradiology, Journal of Applied Clinical Medical Physics, Developmental Brain Research, Brain Research and Movement Disorders.

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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