Aline Dumas

697 citations
19 papers · 564 · h-index 15

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Receptor Mechanisms and Signaling 2
    • Heat shock proteins research 1
    • S100 Proteins and Annexins 1
    • Immune Response and Inflammation 3

Aline Dumas

19 papers receiving 558 citations

Peers

Aline Dumas
Comparison fields: 5 of 89
  • Physiology 53
  • Neurology 73
  • Immunology 174
  • Biological Psychiatry 15
  • Cancer Research 50
Replace Chao Dai with:
Chao Dai China
Nilisha Fernando Australia
Zhiqi Chen China
Xianyuan Song United States
Surinder Jeet France
Paola Cavalcante Italy
Marianna Esposito Italy
Isabelle Millet United States
Daniela Ruffell Germany
Sungsin Jo South Korea
Aline Dumas relative to Chao Dai China Chao Dai's profile →
Citations per field
00.5×1.5×2.5×
Chao Dai · 1×
Citations per year

Countries citing papers authored by Aline Dumas

Since Specialization
Citations

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

Fields of papers citing papers by Aline Dumas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201273
2 201472
3 201961
4 201548
5 201741
6 201537
7 202135
8 201433
9 200628
10 200821
11 201120
12 201119
13 197619
14 200917
15 201314
16 200812
17 20087
18 20094
19 20213

About Aline Dumas

Aline Dumas is a scholar working on Molecular Biology, Immunology, Physiology, Biomedical Engineering and Surgery, having authored 19 papers that have together received 564 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (3 papers), Bone Tissue Engineering Materials (3 papers), Immune Response and Inflammation (3 papers), Receptor Mechanisms and Signaling (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Adolescent and Pediatric Healthcare (1 paper), Heat shock proteins research (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Physiology (53 citations), Neurology (73 citations), Immunology (174 citations), Biological Psychiatry (15 citations) and Cancer Research (50 citations). Aline Dumas has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Luc Vallières, Steve Lacroix, Lusiné Bozoyan, Monica Roy, Alexandre Patenaude, Marc Pouliot, Daniel Chappard, Robert W. Keane, Jae Jin Chae and Juan Pablo de Rivero Vaccari. Their work appears in journals such as Journal of Neuroinflammation, Journal of Neuroimmunology, Pain, JCI Insight and Journal of Heredity.

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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