Gabrielle Macaron

485 citations
28 papers · 301 · h-index 10

Impact in

    • Multiple Sclerosis Research Studies
    • Systemic Sclerosis and Related Diseases
    • Peripheral Neuropathies and Disorders
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Gabrielle Macaron

25 papers receiving 295 citations

Peers

Gabrielle Macaron
Comparison fields: 5 of 65
  • Pathology and Forensic Medicine 200
  • Neurology 77
  • Neurology 21
  • Nephrology 18
  • Rheumatology 38
Replace Reza Vosoughi with:
Reza Vosoughi Canada
Martina Petruzzo Italy
José Meca-Lallana Spain
Joseph Bruno Bidin Brooks Brazil
Mar Mendibe Bilbao Spain
Kerstin Hellwig Germany
Stella Huang United States
L. G. F. Sinnige Netherlands
Stefania De Mercanti Italy
Vittorio Mantero Italy
Gabrielle Macaron relative to Reza Vosoughi Canada Reza Vosoughi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gabrielle Macaron

Since Specialization
Citations

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

Fields of papers citing papers by Gabrielle Macaron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201956
2 201331
3 202031
4 202030
5 202325
6 201923
7 201917
8 201915
9 201912
10 202110
11 20168
12 20167
13 20226
14 20186
15 20216
16 20195
17 20233
18 20232
19 20202
20 20251

About Gabrielle Macaron

Gabrielle Macaron is a scholar working on Pathology and Forensic Medicine, Neurology, Molecular Biology, Oncology and Rheumatology, having authored 28 papers that have together received 301 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (19 papers), Peripheral Neuropathies and Disorders (5 papers), RNA regulation and disease (4 papers), Polyomavirus and related diseases (4 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Mycobacterium research and diagnosis (2 papers), Autoimmune Neurological Disorders and Treatments (2 papers) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (200 citations), Neurology (77 citations), Neurology (21 citations), Nephrology (18 citations) and Rheumatology (38 citations). Gabrielle Macaron has collaborated with scholars based in United States, Lebanon and Canada. Frequent co-authors include Daniel Ontaneda, Mary Rensel, Jeffrey A. Cohen, Manikum Moodley, Sami Richa, Laura Baldassari, Brandon Moss, Stephen M. Rao, François Kazour and Nathalie Arbour. Their work appears in journals such as Neurology, Multiple Sclerosis Journal, Multiple Sclerosis and Related Disorders, International Journal of MS Care and Patient Preference and Adherence.

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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