Pascal Dao
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Organic Chemistry top 10%
- Synthesis and Characterization of Heterocyclic Compounds
- Click Chemistry and Applications
- Synthesis and biological activity
Papers in
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- Advanced biosensing and bioanalysis techniques 2
- Retinoids in leukemia and cellular processes 2
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- Synthesis and Characterization of Heterocyclic Compounds 6
- Synthesis of heterocyclic compounds 2
- Co-authors
- Huixiong Chen (12 shared papers)Christiane Garbay (9 shared papers)Daniel Lietha (5 shared papers)Anthony R. Martin (4 shared papers)Rachid Benhida (4 shared papers)Chang‐Zhi Dong (4 shared papers)Bernard Meunier (4 shared papers)Mélanie Ethève‐Quelquejeu (2 shared papers)
In The Last Decade
Pascal Dao
17 papers receiving 469 citations
Peers
Comparison fields: 5 of 57
- Immunology and Allergy 101
- Organic Chemistry 183
- Biological Psychiatry 11
- Physiology 81
- Oncology 82
Countries citing papers authored by Pascal Dao
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 61 | |
| 2 | 2013 | 57 | |
| 3 | 2014 | 54 | |
| 4 | 2017 | 43 | |
| 5 | 2018 | 39 | |
| 6 | 2020 | 34 | |
| 7 | 2021 | 28 | |
| 8 | 2019 | 28 | |
| 9 | 2010 | 23 | |
| 10 | 2014 | 21 | |
| 11 | 2017 | 21 | |
| 12 | 2012 | 19 | |
| 13 | 2019 | 16 | |
| 14 | 2015 | 14 | |
| 15 | 2013 | 12 | |
| 16 | 2020 | 5 | |
| 17 | 2023 | 3 |
About Pascal Dao
Pascal Dao is a scholar working on Molecular Biology, Organic Chemistry, Immunology and Allergy, Physiology and Cancer Research, having authored 17 papers that have together received 478 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), Advanced biosensing and bioanalysis techniques (2 papers), Computational Drug Discovery Methods (2 papers), Synthesis of heterocyclic compounds (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Immunology and Allergy (101 citations), Organic Chemistry (183 citations), Biological Psychiatry (11 citations), Physiology (81 citations) and Oncology (82 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 Ethève‐Quelquejeu, Feifei Ye and Cheng‐Feng Du. Their work appears in journals such as Dyes and Pigments, Cancer Letters, Tetrahedron, Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry 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.