Yanis Roussel

1.0k total citations
7 papers, 132 citations indexed

About

Yanis Roussel is a scholar working on Infectious Diseases, Nutrition and Dietetics and Neurology. According to data from OpenAlex, Yanis Roussel has authored 7 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Nutrition and Dietetics and 2 papers in Neurology. Recurrent topics in Yanis Roussel's work include COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Academic Publishing and Open Access (2 papers). Yanis Roussel is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Academic Publishing and Open Access (2 papers). Yanis Roussel collaborates with scholars based in France and Burkina Faso. Yanis Roussel's co-authors include Didier Raoult, Philippe Colson, Jean‐Marc Rolain, Audrey Giraud‐Gatineau, Marie-Thérèse Jimeno, Christine Zandotti, Matthieu Million, Philippe Gautret, Pierre‐Edouard Fournier and Éric Chabrière and has published in prestigious journals such as International Journal of Antimicrobial Agents, New Microbes and New Infections and African Journal of Clinical and Experimental Microbiology.

In The Last Decade

Yanis Roussel

7 papers receiving 124 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanis Roussel France	5	73	33	19	18	16	7	132
Sherry Yin United States	5	41 0.6×	24 0.7×	13 0.7×	18 1.0×	19 1.2×	5	120
Sheeza Ali Maldives	5	133 1.8×	16 0.5×	21 1.1×	28 1.6×	7 0.4×	19	203
Jurandy Júnior Ferraz de Magalhães Brazil	6	91 1.2×	14 0.4×	14 0.7×	26 1.4×	13 0.8×	14	154
Nivedita Gupta India	5	155 2.1×	38 1.2×	11 0.6×	46 2.6×	42 2.6×	5	262
Elizabeth Traub United States	5	133 1.8×	26 0.8×	22 1.2×	38 2.1×	12 0.8×	7	177
Susy Rojas United States	5	81 1.1×	12 0.4×	15 0.8×	25 1.4×	19 1.2×	5	124
Valerie Tulier-Laiwa United States	5	81 1.1×	12 0.4×	15 0.8×	25 1.4×	19 1.2×	5	124
Rapty Sarker Bangladesh	8	67 0.9×	15 0.5×	8 0.4×	23 1.3×	22 1.4×	17	154
Mustafizur Rahman Bangladesh	5	88 1.2×	13 0.4×	9 0.5×	34 1.9×	5 0.3×	9	115
Fachun Zhou China	3	36 0.5×	16 0.5×	7 0.4×	10 0.6×	20 1.3×	3	90

Countries citing papers authored by Yanis Roussel

Since Specialization

Citations

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

Fields of papers citing papers by Yanis Roussel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanis Roussel

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

All Works

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7 of 7 papers shown

Million, Matthieu, P. Dudouet, Éric Chabrière, et al.. (2022). Predictive factors of clinical assays on hydroxychloroquine for COVID-19 mortality during the first year of the pandemic: A meta-synthesis. African Journal of Clinical and Experimental Microbiology. 23(1). 1–13. 2 indexed citations

Million, Matthieu, Yanis Roussel, Philippe Gautret, & Didier Raoult. (2021). Effect of hydroxychloroquine and azithromycin on SARS-CoV-2 clearance in COVID-19 patients, a meta-analysis.. International Journal of Antimicrobial Agents. 57(1). 106240–106240. 7 indexed citations

Million, Matthieu, Philippe Gautret, Philippe Colson, et al.. (2020). Clinical efficacy of chloroquine derivatives in COVID-19 infection: comparative meta-analysis between the big data and the real world. New Microbes and New Infections. 38. 100709–100709. 48 indexed citations

Roussel, Yanis & Didier Raoult. (2020). Influence of conflicts of interest on public positions in the COVID-19 era, the case of Gilead Sciences. New Microbes and New Infections. 38. 100710–100710. 13 indexed citations

Roussel, Yanis, Audrey Giraud‐Gatineau, Marie-Thérèse Jimeno, et al.. (2020). SARS-CoV-2: fear versus data. International Journal of Antimicrobial Agents. 55(5). 105947–105947. 54 indexed citations

Roussel, Yanis & Didier Raoult. (2020). First evaluation of hydroxychloroquine recommendations in treating SARS-CoV-2. New Microbes and New Infections. 38. 100759–100759. 2 indexed citations

Togo, Amadou Hamidou, Awa Diop, Jérémy Delerce, et al.. (2019). Lactimicrobium massiliense gen. nov., sp. nov.; Anaerolactibacter massiliensis gen. nov., sp. nov.; Galactobacillus timonensis gen. nov., sp. nov. and Acidipropionibacterium timonense sp. nov. isolated from breast milk from healthy breastfeeding African women. New Microbes and New Infections. 29. 100537–100537. 6 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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