Ryan Fitch

425 citations
7 papers · 226 · h-index 4

Impact in

    • Tryptophan and brain disorders
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Advanced Biosensing Techniques and Applications 2

Ryan Fitch

7 papers receiving 221 citations

Peers

Ryan Fitch
Comparison fields: 5 of 51
  • Biological Psychiatry 49
  • Neurology 83
  • Physiology 82
  • Behavioral Neuroscience 9
  • Developmental Neuroscience 10
Replace Jacob Hudobenko with:
Jacob Hudobenko United States
Thuvarahan Jegathees Australia
D.S.Y. Mak Hong Kong
Maria Teresa Dell’Abate Italy
Michael Mousseau Canada
Dáire Healy Ireland
Anna Maaser‐Hecker United States
Chloe Lopez-Lee United States
Dylan Garceau United States
Dong-Yong Hong South Korea
Ryan Fitch relative to Jacob Hudobenko United States Jacob Hudobenko's profile →
Citations per field
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Jacob Hudobenko · 1×
Citations per year

Countries citing papers authored by Ryan Fitch

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Fitch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 201875
2 201667
3 201962
4 201817
5
Haplotypes of the D{sub 2} dopamine receptor gene in higher and lower alcohol consuming subjects
19942
6 20172
7 20211

About Ryan Fitch

Ryan Fitch is a scholar working on Neurology, Molecular Biology, Biological Psychiatry, Physiology and Critical Care and Intensive Care Medicine, having authored 7 papers that have together received 226 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Alzheimer's disease research and treatments (2 papers), Tryptophan and brain disorders (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Alcohol Consumption and Health Effects (1 paper), Diabetes and associated disorders (1 paper) and Intensive Care Unit Cognitive Disorders (1 paper). The work is most often cited by research in Biological Psychiatry (49 citations), Neurology (83 citations), Physiology (82 citations), Behavioral Neuroscience (9 citations) and Developmental Neuroscience (10 citations). Ryan Fitch has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Joel H. Kramer, Brianne M. Bettcher, Kaitlin B. Casaletto, John Neuhaus, Matthew J. Wynn, Anna Karydas, Fanny M. Elahi, Henrik Zetterberg, Rowan Saloner and Sterling C. Johnson. Their work appears in journals such as Cytokine, Journal of Alzheimer s Disease, Frontiers in Aging Neuroscience, The Journals of Gerontology Series A and Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring.

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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