Caroline Ran

31 papers receiving 479 citations

Peers

Caroline Ran
Comparison fields: 5 of 71
  • Psychiatry and Mental health 268
  • Endocrine and Autonomic Systems 78
  • Neurology 62
  • Pathology and Forensic Medicine 122
  • Physiology 175
Replace Antonina Stefania Mangione with:
Antonina Stefania Mangione Italy
Giulio Grieco Italy
Jennifer A. Stokes United States
Vinit Patil United States
L. H. Lassen Denmark
J. Jay Gargus United States
Sarah Louise Christensen Denmark
Xingkai An China
M Aubé Canada
Xiao Ren United States
Caroline Ran relative to Antonina Stefania Mangione Italy Antonina Stefania Mangione's profile →
Citations per field
00.5×2.8×
Antonina Stefania Mangione · 1×
Citations per year

Countries citing papers authored by Caroline Ran

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201757
2 202042
3 201740
4 201639
5 200833
6 201427
7 202227
8 201226
9 201820
10 201718
11 201718
12 201015
13 201615
14 201915
15 202114
16 201812
17 201112
18 201911
19 20119
20 20237

About Caroline Ran

Caroline Ran is a scholar working on Psychiatry and Mental health, Physiology, Molecular Biology, Pathology and Forensic Medicine and Neurology, having authored 35 papers that have together received 490 indexed citations. Recurring topics across this work include Migraine and Headache Studies (22 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Olfactory and Sensory Function Studies (4 papers), RNA regulation and disease (4 papers), Circadian rhythm and melatonin (4 papers), Neuropeptides and Animal Physiology (3 papers), Lysosomal Storage Disorders Research (3 papers) and Sympathectomy and Hyperhidrosis Treatments (3 papers). The work is most often cited by research in Psychiatry and Mental health (268 citations), Endocrine and Autonomic Systems (78 citations), Neurology (62 citations), Pathology and Forensic Medicine (122 citations) and Physiology (175 citations). Caroline Ran has collaborated with scholars based in Sweden, Denmark and United States. Frequent co-authors include Andrea Carmine Belin, Anna Steinberg, Christina Sjöstrand, Elisabet Waldenlind, Carmen Fourier, Lars Edvinsson, Dagmar Galter, Marie Westerlund, Olof Sydow and Hans Nissbrandt. Their work appears in journals such as The Journal of Headache and Pain, Cephalalgia, Headache The Journal of Head and Face Pain, Neurology and Parkinson s Disease.

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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