Stéphane Schück

1.9k total citations · 1 hit paper
83 papers, 1.3k citations indexed

About

Stéphane Schück is a scholar working on Psychiatry and Mental health, Health and General Health Professions. According to data from OpenAlex, Stéphane Schück has authored 83 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Psychiatry and Mental health, 13 papers in Health and 12 papers in General Health Professions. Recurrent topics in Stéphane Schück's work include Dementia and Cognitive Impairment Research (8 papers), Social Media in Health Education (8 papers) and Misinformation and Its Impacts (6 papers). Stéphane Schück is often cited by papers focused on Dementia and Cognitive Impairment Research (8 papers), Social Media in Health Education (8 papers) and Misinformation and Its Impacts (6 papers). Stéphane Schück collaborates with scholars based in France, United Kingdom and Germany. Stéphane Schück's co-authors include H. Allain, Nathalie Texier, Christophe Tzourio, Adel Mebarki, Ilaria Montagni, Jean‐Marie Scarabin, Gilles Edan, Philippe Robert, Carole Faviez and Anita Burgun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Scientific Reports.

In The Last Decade

Stéphane Schück

77 papers receiving 1.2k citations

Hit Papers

Acceptance of a Covid-19 vaccine is associated with abili... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stéphane Schück France 19 352 191 179 169 155 83 1.3k
Adina Zeki Al Hazzouri United States 20 295 0.8× 252 1.3× 103 0.6× 162 1.0× 193 1.2× 63 1.5k
Thomas O. Obisesan United States 29 259 0.7× 249 1.3× 102 0.6× 483 2.9× 201 1.3× 85 2.0k
John Luo United States 21 390 1.1× 90 0.5× 115 0.6× 99 0.6× 326 2.1× 45 1.7k
Ulrich Frick Germany 27 375 1.1× 91 0.5× 119 0.7× 126 0.7× 482 3.1× 107 2.6k
Georgios Papazisis Greece 27 268 0.8× 120 0.6× 61 0.3× 185 1.1× 208 1.3× 128 2.0k
Jeanette M. Bennett United States 20 186 0.5× 330 1.7× 171 1.0× 155 0.9× 356 2.3× 48 2.0k
Shunquan Wu China 16 159 0.5× 298 1.6× 77 0.4× 199 1.2× 327 2.1× 24 1.8k
Xiaozhen Lv China 21 355 1.0× 182 1.0× 83 0.5× 228 1.3× 154 1.0× 80 1.4k
Normah Che Din Malaysia 21 436 1.2× 185 1.0× 94 0.5× 244 1.4× 190 1.2× 72 1.3k
Anne H. Gaglioti United States 15 319 0.9× 263 1.4× 127 0.7× 202 1.2× 432 2.8× 47 1.5k

Countries citing papers authored by Stéphane Schück

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Schück

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Schück

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Schück. A scholar is included among the top collaborators of Stéphane Schück 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 Stéphane Schück. Stéphane Schück 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
1.
Bouet, Pierre‐Emmanuel, et al.. (2025). Using Social Media Data to Assess the Impact of Infertility on French Patients’ Quality of Life: Retrospective Observational Study. Journal of Medical Internet Research. 27. e68094–e68094.
2.
Marrel, Alexia, et al.. (2023). Patient and Caregiver Perceptions of Advanced Bladder Cancer Systemic Treatments: Infodemiology Study Based on Social Media Data. JMIR Cancer. 9. e45011–e45011. 2 indexed citations
3.
Montagni, Ilaria, et al.. (2022). Who is hesitant about Covid-19 vaccines? The profiling of participants in a French online cohort. Revue d Épidémiologie et de Santé Publique. 70(3). 123–131. 4 indexed citations
5.
Glaser, Philippe, et al.. (2022). Discussions of Antibiotic Resistance on Social Media Platforms: Text Mining and Mixed Methods Content Analysis Study. JMIR Formative Research. 9. e37160–e37160.
6.
Fagherazzi, Guy, et al.. (2022). Identifying Profiles and Symptoms of Patients With Long COVID in France: Data Mining Infodemiology Study Based on Social Media. SHILAP Revista de lepidopterología. 2(2). e39849–e39849. 7 indexed citations
7.
Barbarot, S., L. Misery, Stéphane Héas, et al.. (2021). Social Media Platforms Listening Study on Atopic Dermatitis: Quantitative and Qualitative Findings. Journal of Medical Internet Research. 24(1). e31140–e31140. 11 indexed citations
8.
Arsandaux, Julie, Ilaria Montagni, Mélissa Macalli, et al.. (2021). Mental health condition of college students compared to non-students during COVID-19 lockdown: the CONFINS study. BMJ Open. 11(8). e053231–e053231. 55 indexed citations
9.
Mebarki, Adel, et al.. (2021). A New Method to Extract Health-Related Quality of Life Data From Social Media Testimonies: Algorithm Development and Validation. Journal of Medical Internet Research. 24(1). e31528–e31528. 5 indexed citations
10.
Schück, Stéphane, Adel Mebarki, Carole Faviez, et al.. (2021). Concerns Discussed on Chinese and French Social Media During the COVID-19 Lockdown: Comparative Infodemiology Study Based on Topic Modeling. JMIR Formative Research. 5(4). e23593–e23593. 13 indexed citations
11.
Schück, Stéphane, et al.. (2020). Physicians’ Perceptions of the Use of a Chatbot for Information Seeking: Qualitative Study. Journal of Medical Internet Research. 22(11). e15185–e15185. 12 indexed citations
12.
Texier, Nathalie, et al.. (2018). Detection of Cases of Noncompliance to Drug Treatment in Patient Forum Posts: Topic Model Approach. Journal of Medical Internet Research. 20(3). e85–e85. 32 indexed citations
13.
Kürzinger, Marie‐Laure, Stéphane Schück, Nathalie Texier, et al.. (2018). Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis. Journal of Medical Internet Research. 20(11). e10466–e10466. 14 indexed citations
14.
Schück, Stéphane, et al.. (2017). Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?. JMIR Public Health and Surveillance. 3(2). e36–e36. 22 indexed citations
15.
Bousquet, Cédric, Badisse Dahamna, Stéfan Darmoni, et al.. (2017). The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process. JMIR Research Protocols. 6(9). e179–e179. 21 indexed citations
16.
Ganse, Éric Van, Nathalie Texier, Alexandra L. Dima, et al.. (2015). Assessment of the safety of long-acting β2-agonists in routine asthma care: the ASTRO-LAB protocol. npj Primary Care Respiratory Medicine. 25(1). 15040–15040. 14 indexed citations
17.
Schück, Stéphane, et al.. (2003). [Validation of the Short Cognitive Battery (B2C). Value in screening for Alzheimer's disease and depressive disorders in psychiatric practice].. PubMed. 29(3 Pt 1). 266–72. 16 indexed citations
18.
Bürger, Katharina, Stéphane Schück, H.-J. Möller, et al.. (2000). [Multiconceptual therapy in Alzheimer's disease].. PubMed. 29(21). 1197–201. 1 indexed citations
19.
Schück, Stéphane, et al.. (2000). Échelles et questionnaires dans la maladie de Parkinson. Revue Neurologique. 156. 63–69. 1 indexed citations
20.
Allain, H., Danièle Bentué‐Ferrer, Stéphane Schück, & Annick Ruffault. (1999). [Beta interferon in multiple sclerosis: pharmacological differences].. PubMed. 155 Suppl 2. S24–30. 1 indexed citations

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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