Philip Stavrides

2.4k total citations · 1 hit paper
25 papers, 1.7k citations indexed

About

Philip Stavrides is a scholar working on Epidemiology, Cell Biology and Physiology. According to data from OpenAlex, Philip Stavrides has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 13 papers in Cell Biology and 13 papers in Physiology. Recurrent topics in Philip Stavrides's work include Autophagy in Disease and Therapy (14 papers), Alzheimer's disease research and treatments (10 papers) and Cellular transport and secretion (10 papers). Philip Stavrides is often cited by papers focused on Autophagy in Disease and Therapy (14 papers), Alzheimer's disease research and treatments (10 papers) and Cellular transport and secretion (10 papers). Philip Stavrides collaborates with scholars based in United States, Canada and United Kingdom. Philip Stavrides's co-authors include Ralph A. Nixon, Monika Pawlik, Dun‐Sheng Yang, Efrat Levy, Asok Kumar, Ju‐Hyun Lee, Chunfeng Huo, Ying Jiang, Chris N. Goulbourne and Panaiyur S. Mohan and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Journal of Molecular Biology.

In The Last Decade

Philip Stavrides

21 papers receiving 1.7k citations

Hit Papers

Faulty autolysosome acidification in Alzheimer’s disease ... 2022 2026 2023 2024 2022 100 200 300

Peers

Philip Stavrides
Comparison fields: 5 of 89
  • Physiology 924
  • Epidemiology 635
  • Molecular Biology 566
  • Cell Biology 468
  • Cellular and Molecular Neuroscience 265
Replace Devin M. Wolfe with:
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Melissa Nassif Chile
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Yahyah Aman Norway
Misaki Sekiguchi Japan
Michaeline Hebron United States
Diana A.T. Nijholt Netherlands
Devin M. Wolfe United States View profile →
Citations per field, relative to Philip Stavrides
Philip Stavrides · 1×
Citations per year, relative to Philip Stavrides
Philip Stavrides · 1×

Countries citing papers authored by Philip Stavrides

Since Specialization
Citations

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

Fields of papers citing papers by Philip Stavrides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Stavrides

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Stavrides. A scholar is included among the top collaborators of Philip Stavrides based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip Stavrides. Philip Stavrides is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5 2
6 39
7 35
8
Faulty autolysosome acidification in Alzheimer’s disease mouse models induces autophagic build-up of Aβ in neurons, yielding senile plaques breakdown →
397
9 55
10 70
11 27
12 3
13 62
14 30
15 70
16 81
17 353
18 40
19 88
20 144

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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