Pascal Dao

640 citations
18 papers · 564 · h-index 15

Impact in

Papers in

    • Cell Adhesion Molecules Research 4
    • Synthesis and Characterization of Heterocyclic Compounds 6
    • Chemical Reaction Mechanisms 2
    • Synthesis of heterocyclic compounds 2

Pascal Dao

18 papers receiving 555 citations

Peers

Pascal Dao
Comparison fields: 5 of 62
  • Immunology and Allergy 103
  • Organic Chemistry 192
  • Biological Psychiatry 12
  • Oncology 96
  • Physiology 87
Replace Michael W. Härter with:
Michael W. Härter Germany
Klaus Urbahns Germany
Julie Laferrière Canada
Christopher D. Beadle United States
Laurence E. Burgess United States
Dongsheng Zhu China
Timo Heinrich Germany
Hitesh J. Sanganee United Kingdom
Marianna Talia Italy
Jack A. Kauffman United States
Pascal Dao relative to Michael W. Härter Germany Michael W. Härter's profile →
Citations per field
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Michael W. Härter · 1×
Citations per year

Countries citing papers authored by Pascal Dao

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201772
2 201358
3 201454
4 201745
5 201943
6 201841
7 201938
8 202036
9 202132
10 201026
11 201722
12 201421
13 201220
14 201916
15 201515
16 201312
17 20207
18 20236

About Pascal Dao

Pascal Dao is a scholar working on Immunology and Allergy, Organic Chemistry, Cancer Research, Molecular Biology and Physiology, having authored 18 papers that have together received 564 indexed citations. Recurring topics across this work include Synthesis and Characterization of Heterocyclic Compounds (6 papers), Cell Adhesion Molecules Research (4 papers), Alzheimer's disease research and treatments (3 papers), Retinoids in leukemia and cellular processes (2 papers), Computational Drug Discovery Methods (2 papers), Chemical Reaction Mechanisms (2 papers), Synthesis of heterocyclic compounds (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Immunology and Allergy (103 citations), Organic Chemistry (192 citations), Biological Psychiatry (12 citations), Oncology (96 citations) and Physiology (87 citations). Pascal Dao has collaborated with scholars based in France, China and Spain. Frequent co-authors include Huixiong Chen, Christiane Garbay, Daniel Lietha, Anthony R. Martin, Rachid Benhida, Chang‐Zhi Dong, Bernard Meunier, Mélanie Etheve-Quelquejeu, Feifei Ye and Cheng‐Feng Du. Their work appears in journals such as Dyes and Pigments, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Tetrahedron and Cancer Letters.

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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