Florence Butlen‐Ducuing

523 total citations
22 papers, 191 citations indexed

About

Florence Butlen‐Ducuing is a scholar working on Pharmacology, Clinical Psychology and Organic Chemistry. According to data from OpenAlex, Florence Butlen‐Ducuing has authored 22 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 7 papers in Clinical Psychology and 5 papers in Organic Chemistry. Recurrent topics in Florence Butlen‐Ducuing's work include Psychedelics and Drug Studies (7 papers), Treatment of Major Depression (6 papers) and Chemical synthesis and alkaloids (5 papers). Florence Butlen‐Ducuing is often cited by papers focused on Psychedelics and Drug Studies (7 papers), Treatment of Major Depression (6 papers) and Chemical synthesis and alkaloids (5 papers). Florence Butlen‐Ducuing collaborates with scholars based in Netherlands, Germany and France. Florence Butlen‐Ducuing's co-authors include Manuel Haas, Emmanuelle Corruble, Valentina Mantua, Pavel Balabanov, Frank Pétavy, Ewa Bałkowiec-Iskra, Małgorzata Zienowicz, Tomas Salmonson, Lorenzo Guizzaro and Celso Arango and has published in prestigious journals such as The Lancet, Nature Reviews Drug Discovery and Molecular Psychiatry.

In The Last Decade

Florence Butlen‐Ducuing

20 papers receiving 183 citations

Peers

Florence Butlen‐Ducuing
Comparison fields: 5 of 81
  • Clinical Psychology 53
  • General Health Professions 27
  • Psychiatry and Mental health 25
  • Pharmacology 24
  • Molecular Biology 23
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André Elferink Netherlands
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Chris Lynch United Kingdom
Lucia Picchi Italy
Stephen Schultz United States
Filipa Novais Portugal
Mohamed Adil Shah Khoodoruth Qatar
Adam Pastor Australia
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Citations per field, relative to Florence Butlen‐Ducuing
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Citations per year, relative to Florence Butlen‐Ducuing
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Countries citing papers authored by Florence Butlen‐Ducuing

Since Specialization
Citations

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

Fields of papers citing papers by Florence Butlen‐Ducuing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florence Butlen‐Ducuing. 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 Florence Butlen‐Ducuing. The network helps show where Florence Butlen‐Ducuing may publish in the future.

Co-authorship network of co-authors of Florence Butlen‐Ducuing

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Butlen‐Ducuing. A scholar is included among the top collaborators of Florence Butlen‐Ducuing 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 Florence Butlen‐Ducuing. Florence Butlen‐Ducuing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 1
4 7
5 0
6 6
7
Current and Emerging Technologies to Address the Placebo Response Challenge in CNS Clinical Trials: Promise, Pitfalls, and Pathways Forward.
1
8 3
9 20
10 8
11 1
12
Using Artificial Intelligence-based Methods to Address the Placebo Response in Clinical Trials.
9
13 17
14 26
15 7
16 34
17 9
18 2
19 8
20 14

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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