Pham My‐Chan Dang

6.6k citations
87 papers · 5.0k indexed · h-index 36
  • Immunology top 0.5%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 60
    • Immune Response and Inflammation 32
    • Immune cells in cancer 16
  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms 7
    • Cell Adhesion Molecules Research 8
  • Physiology top 2%
    • Nitric Oxide and Endothelin Effects 12
  • Physiology top 2%
    • Nitric Oxide and Endothelin Effects 12
    • S100 Proteins and Annexins 14
    • Blood disorders and treatments 3

Pham My‐Chan Dang

85 papers receiving 4.9k citations

Peers

Pham My‐Chan Dang
Comparison fields: 5 of 117
  • Immunology 2.9k
  • Neurology 439
  • Immunology and Allergy 265
  • Physiology 987
  • Physiology 167
Replace Marie‐Anne Gougerot‐Pocidalo with:
Marie‐Anne Gougerot‐Pocidalo France
Linda C. McPhail United States
Mary C. Dinauer United States
Goo Taeg Oh South Korea
Rudolf Lucas United States
Ulla G. Knaus United States
Huabao Xiong China
Abbas Mirshafiey Iran
Yasuaki Aratani Japan
Antonio Castrillo Spain
Pham My‐Chan Dang relative to Marie‐Anne Gougerot‐Pocidalo France Marie‐Anne Gougerot‐Pocidalo's profile →
Citations per field
00.5×1.6×
Marie‐Anne Gougerot‐Pocidalo · 1×
Citations per year

Countries citing papers authored by Pham My‐Chan Dang

Since Specialization
Citations

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

Fields of papers citing papers by Pham My‐Chan Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pham My‐Chan Dang. 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 Pham My‐Chan Dang. The network helps show where Pham My‐Chan Dang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Pham My‐Chan Dang, 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 Pham My‐Chan Dang Line = papers co-authored together Pham My‐Chan Dang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
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7 202317
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11 202212
12 20211
13 20218
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15 20214
16 202017
17 2018203
18 201748
19 201715
20 201619

About Pham My‐Chan Dang

Pham My‐Chan Dang is a scholar working on Immunology, Immunology and Allergy and Physiology, having authored 87 papers that have together received 5.0k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (60 papers), Immune Response and Inflammation (32 papers), Immune cells in cancer (16 papers), S100 Proteins and Annexins (14 papers), Nitric Oxide and Endothelin Effects (12 papers), Cell Adhesion Molecules Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Blood disorders and treatments (3 papers). The work is most often cited by research in Immunology (2.9k citations), Neurology (439 citations) and Immunology and Allergy (265 citations). Pham My‐Chan Dang has collaborated with scholars based in France, Algeria and Tunisia. Frequent co-authors include Jamel El‐Benna, Marie‐Anne Gougerot‐Pocidalo, Margarita Hurtado-Nédelec, Alexandre Fontayne, Carole Elbim, Jean‐Claude Marie, Jacques Hakim, Axel Périanin, Viviana Marzaioli and Bernard Babior. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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