Julia E. Gerson

2.4k citations
41 papers · 1.9k · h-index 22

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
  • Physiology top 1%
    • Alzheimer's disease research and treatments

Papers in

Julia E. Gerson

39 papers receiving 1.9k citations

Peers

Julia E. Gerson
Comparison fields: 5 of 89
  • Neurology 472
  • Physiology 1.2k
  • Neurology 432
  • Cellular and Molecular Neuroscience 412
  • Biological Psychiatry 52
Replace Catherine L. Clelland with:
Catherine L. Clelland United States
Allyson D. Roe United States
Helen Y. Figueroa United States
Amadeus Gladbach Australia
Sakura Minami United States
Arne Ittner Australia
Christopher M. Acker United States
Yoshio Namba Japan
Yasushi Tomidokoro Japan
Tsuneo Yamazaki Japan
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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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014235
2 2014159
3 2016142
4 2015137
5 2015134
6 2013110
7 201794
8 201481
9 201673
10 201869
11 201466
12 201464
13 201862
14 201659
15 201559
16 201553
17 201844
18 201635
19 201430
20 201225

About Julia E. Gerson

Julia E. Gerson is a scholar working on Physiology, Molecular Biology, Neurology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (23 papers), Parkinson's Disease Mechanisms and Treatments (11 papers), Computational Drug Discovery Methods (6 papers), Ubiquitin and proteasome pathways (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Genetic Neurodegenerative Diseases (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Neurology (472 citations), Physiology (1.2k citations), Neurology (432 citations), Cellular and Molecular Neuroscience (412 citations) and Biological Psychiatry (52 citations). Julia E. Gerson has collaborated with scholars based in United States, Japan 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, D. Mark Estes and Gurpreet Singh. Their work appears in journals such as Alzheimer s & Dementia, Scientific Reports, Investigative Ophthalmology & Visual Science, Acta Neuropathologica Communications and Journal of 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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