John Gonzalez

1.8k citations
15 papers · 700 · h-index 11

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological disorders and treatments

Papers in

    • RNA Research and Splicing 2
    • RNA modifications and cancer 2
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Parkinson's Disease Mechanisms and Treatments 3
    • Neurological disorders and treatments 2

John Gonzalez

14 papers receiving 686 citations

Peers

John Gonzalez
Comparison fields: 5 of 81
  • Biological Psychiatry 42
  • Neurology 121
  • Neurology 152
  • Behavioral Neuroscience 27
  • Physiology 153
Replace Arman Lira with:
Arman Lira Canada
Rui Gomes Portugal
Sebastian Guelfi United Kingdom
Thomas Arzberger Germany
Pritika Narayan New Zealand
Christina Vlachouli United Kingdom
Sarah L. Roche Ireland
Erkang Fei China
Ekaterina Savchenko Finland
Awilda M. Rosario United States
John Gonzalez relative to Arman Lira Canada Arman Lira's profile →
Citations per field
00.5×3.4×
Arman Lira · 1×
Citations per year

Countries citing papers authored by John Gonzalez

Since Specialization
Citations

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

Fields of papers citing papers by John Gonzalez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2019171
2 2001160
3 200776
4 201169
5 200860
6 201147
7 200644
8 201921
9 202218
10 202412
11 202311
12 20046
13 20214
14 20251
15 20250

About John Gonzalez

John Gonzalez is a scholar working on Molecular Biology, Neurology, Neurology, Cellular and Molecular Neuroscience and Physiology, having authored 15 papers that have together received 700 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Alzheimer's disease research and treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers), RNA Research and Splicing (2 papers), CAR-T cell therapy research (2 papers), Neurological disorders and treatments (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Biological Psychiatry (42 citations), Neurology (121 citations), Neurology (152 citations), Behavioral Neuroscience (27 citations) and Physiology (153 citations). John Gonzalez has collaborated with scholars based in United States, Switzerland and Puerto Rico. Frequent co-authors include Dennis W. Dickson, Zeshan Ahmed, Yulia Rybakova, Daniel G. Anderson, Frank DeRosa, Karen A. Baskerville, Michael McKinney, Piotr S. Kowalski, Yuxuan Huang and David R. Bryan. Their work appears in journals such as Brain, Movement Disorders, Molecular Therapy, The Journal of Immunology and Neuroscience.

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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