Julia E. Gerson

2.4k citations
38 papers · 1.8k · h-index 22

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
  • Physiology top 2%
    • Alzheimer's disease research and treatments

Papers in

Julia E. Gerson

37 papers receiving 1.8k citations

Peers

Julia E. Gerson
Comparison fields: 5 of 89
  • Neurology 514
  • Physiology 1.2k
  • Neurology 443
  • Cellular and Molecular Neuroscience 439
  • Biological Psychiatry 58
Replace Helen Y. Figueroa with:
Helen Y. Figueroa United States
Amadeus Gladbach Australia
Allyson D. Roe United States
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Raphaëlle Caillierez France
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Estibaliz Capetillo‐Zarate Spain
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Citations per field
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Citations per year

Countries citing papers authored by Julia E. Gerson

Since Specialization
Citations

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

Fields of papers citing papers by Julia E. Gerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia E. Gerson. 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 Julia E. Gerson. The network helps show where Julia E. Gerson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014222
2 2014153
3 2016133
4 2015127
5 2015126
6 2013102
7 201789
8 201478
9 201868
10 201668
11 201463
12 201462
13 201861
14 201657
15 201555
16 201552
17 201842
18 201634
19 201429
20 201222

About Julia E. Gerson

Julia E. Gerson is a scholar working on Physiology, Molecular Biology, Neurology, Cellular and Molecular Neuroscience and Neurology, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (25 papers), Parkinson's Disease Mechanisms and Treatments (11 papers), Computational Drug Discovery Methods (5 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Ubiquitin and proteasome pathways (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Neurology (514 citations), Physiology (1.2k citations), Neurology (443 citations), Cellular and Molecular Neuroscience (439 citations) and Biological Psychiatry (58 citations). Julia E. Gerson has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Rakez Kayed, Diana L. Castillo‐Carranza, Urmi Sengupta, Marcos J. Guerrero-Muñoz, Cristian A. Lasagna‐Reeves, George R. Jackson, Alan D.T. Barrett, Juan C. Troncoso, Kelly T. Dineley and D. Mark Estes. Their work appears in journals such as Scientific Reports, Acta Neuropathologica Communications, Biological Psychiatry, Journal of Biological Chemistry and Investigative Ophthalmology & Visual Science.

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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