S. Puiseux‐Dao
- Molecular Biology
- Environmental Chemistry top 2%
- Oceanography top 5%
- Plant Science
- Health, Toxicology and Mutagenesis top 10%
- Co-authors
- Vasu D. AppannaRyan J. MaillouxRanji SinghValérie FessardJoëlle VinhCédric RobillotMarie‐Claire HennionDominick V. Basile
- Topics
- Protist diversity and phylogeny (12 papers)Marine Toxins and Detection Methods (12 papers)Algal biology and biofuel production (8 papers)
In The Last Decade
S. Puiseux‐Dao
51 papers receiving 878 citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 348
- Environmental Chemistry 333
- Oceanography 193
- Plant Science 166
- Health, Toxicology and Mutagenesis 142
Countries citing papers authored by S. Puiseux‐Dao
This map shows the geographic impact of S. Puiseux‐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 S. Puiseux‐Dao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Puiseux‐Dao more than expected).
Fields of papers citing papers by S. Puiseux‐Dao
This network shows the impact of papers produced by S. Puiseux‐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 S. Puiseux‐Dao. The network helps show where S. Puiseux‐Dao may publish in the future.
Co-authorship network of co-authors of S. Puiseux‐Dao
This figure shows the co-authorship network connecting the top 25 collaborators of S. Puiseux‐Dao. A scholar is included among the top collaborators of S. Puiseux‐Dao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Puiseux‐Dao. S. Puiseux‐Dao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 54 | |
| 3 | 40 | |
| 4 | 33 | |
| 5 | 16 | |
| 6 | 40 | |
| 7 | 1 | |
| 8 | 51 | |
| 9 | 19 | |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 13 | |
| 15 | 33 | |
| 16 | 16 | |
| 17 | 2 | |
| 18 | Apicobasal gradient of chloroplast DNA synthesis and distribution in Acetabularia. | 1 |
| 19 | [Demonstration by ultraviolet spectrophotometry of an interaction between acrolein and monophosphate cytidine in aqueous solution]. | 1 |
| 20 | 1 |
About S. Puiseux‐Dao
S. Puiseux‐Dao is a scholar working on Environmental Chemistry, Oceanography and Pollution, having authored 52 papers that have together received 911 indexed citations. Recurring topics across this work include Protist diversity and phylogeny (12 papers), Marine Toxins and Detection Methods (12 papers) and Algal biology and biofuel production (8 papers). The work is most often cited by research in Environmental Chemistry (333 citations), Oceanography (193 citations) and Health, Toxicology and Mutagenesis (142 citations). S. Puiseux‐Dao has collaborated with scholars based in France, Canada and Belgium. Frequent co-authors include Vasu D. Appanna, Ryan J. Mailloux, Ranji Singh, Valérie Fessard, Joëlle Vinh, Cédric Robillot, Marie‐Claire Hennion, Dominick V. Basile, Jean Turquet and D. Pesando. Their work appears in journals such as Environmental Science & Technology, Biochemical and Biophysical Research Communications and Journal of Bacteriology.
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.