Caroline Graff

42.5k total citations
159 papers, 6.5k citations indexed

About

Caroline Graff is a scholar working on Physiology, Molecular Biology and Genetics. According to data from OpenAlex, Caroline Graff has authored 159 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Physiology, 78 papers in Molecular Biology and 32 papers in Genetics. Recurrent topics in Caroline Graff's work include Alzheimer's disease research and treatments (81 papers), Dementia and Cognitive Impairment Research (29 papers) and Mitochondrial Function and Pathology (19 papers). Caroline Graff is often cited by papers focused on Alzheimer's disease research and treatments (81 papers), Dementia and Cognitive Impairment Research (29 papers) and Mitochondrial Function and Pathology (19 papers). Caroline Graff collaborates with scholars based in Sweden, United States and United Kingdom. Caroline Graff's co-authors include Bengt Winblad, Nils‐Göran Larsson, Anders Oldfors, Annica Rönnbäck, Laura Fratiglioni, Paul Pévet, Étienne Challet, Ove Almkvist, Lina Keller and Steinunn Þórðardóttir and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Caroline Graff

155 papers receiving 6.4k citations

Peers

Caroline Graff
Comparison fields: 5 of 138
  • Physiology 3.2k
  • Molecular Biology 3.1k
  • Psychiatry and Mental health 912
  • Cellular and Molecular Neuroscience 883
  • Neurology 825
Replace Roberta Ghidoni with:
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Jean‐Jacques Martin Belgium
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Roberta Ghidoni Italy View profile →
Citations per field, relative to Caroline Graff
Caroline Graff · 1×
Citations per year, relative to Caroline Graff
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Countries citing papers authored by Caroline Graff

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Graff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Graff

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Graff. A scholar is included among the top collaborators of Caroline Graff 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 Caroline Graff. Caroline Graff 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 1
2 2
3 1
4 5
5 17
6 2
7 4
8 56
9 7
10 95
11 80
12 170
13 15
14
Genetic variation in PCDH11X is associated with susceptibility to late onset alzheimer's disease
54
15 30
16 171
17
Fine mapping of the alpha-T Catenin gene to a quantitative trait locus on chromosome 10 in late-onset Alzheimer’s Disease pedigrees
9
18 133
19 34
20 35

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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2026