Francis Guillemin

1.7k total citations
28 papers, 1.1k citations indexed

About

Francis Guillemin is a scholar working on Pathology and Forensic Medicine, Rheumatology and Neurology. According to data from OpenAlex, Francis Guillemin has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pathology and Forensic Medicine, 6 papers in Rheumatology and 5 papers in Neurology. Recurrent topics in Francis Guillemin's work include Multiple Sclerosis Research Studies (14 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers) and Peripheral Neuropathies and Disorders (5 papers). Francis Guillemin is often cited by papers focused on Multiple Sclerosis Research Studies (14 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers) and Peripheral Neuropathies and Disorders (5 papers). Francis Guillemin collaborates with scholars based in France, Lebanon and Canada. Francis Guillemin's co-authors include Marc Debouverie, Mahmoud Abu‐Shakra, S. Pittion‐Vouyovitch, Sarah Louis, Peter Lee, Peter Lee, Hervé Vespignani, N. Vandenberghe, René Anxionnat and Thomas Roederer and has published in prestigious journals such as PLoS ONE, Thrombosis and Haemostasis and Osteoarthritis and Cartilage.

In The Last Decade

Francis Guillemin

27 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francis Guillemin France 15 847 206 192 164 158 28 1.1k
Heidi Crayton United States 8 457 0.5× 389 1.9× 219 1.1× 81 0.5× 101 0.6× 12 1.0k
D. Ferriby France 19 789 0.9× 511 2.5× 717 3.7× 132 0.8× 65 0.4× 42 1.6k
Rosa A. Tang United States 22 813 1.0× 159 0.8× 573 3.0× 94 0.6× 111 0.7× 82 1.9k
Jade S. Schiffman United States 23 382 0.5× 141 0.7× 476 2.5× 76 0.5× 243 1.5× 63 1.7k
M. R. Tola Italy 21 718 0.8× 297 1.4× 404 2.1× 105 0.6× 119 0.8× 27 1.2k
Donald Brunet Canada 15 412 0.5× 178 0.9× 150 0.8× 108 0.7× 73 0.5× 25 932
Tetsuya Mori Japan 19 462 0.5× 76 0.4× 205 1.1× 102 0.6× 48 0.3× 68 1.0k
Niveditha Mohan United States 8 164 0.2× 477 2.3× 122 0.6× 103 0.6× 95 0.6× 15 1.0k
Alireza Nikseresht Iran 15 238 0.3× 128 0.6× 139 0.7× 148 0.9× 57 0.4× 43 708
Wallace Brownlee United Kingdom 20 1.1k 1.3× 232 1.1× 503 2.6× 91 0.6× 103 0.7× 66 1.5k

Countries citing papers authored by Francis Guillemin

Since Specialization
Citations

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

Fields of papers citing papers by Francis Guillemin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis Guillemin

This figure shows the co-authorship network connecting the top 25 collaborators of Francis Guillemin. A scholar is included among the top collaborators of Francis Guillemin 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 Francis Guillemin. Francis Guillemin 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.
Bosco‐Lévy, Pauline, Marc Debouverie, Bruno Brochet, et al.. (2021). Comparative effectiveness of dimethyl fumarate in multiple sclerosis. British Journal of Clinical Pharmacology. 88(3). 1268–1278. 9 indexed citations
2.
Guillemin, Francis, et al.. (2020). Nuclear power plant: state of knowledge of the population living in the area of the Cattenom special intervention plan. A cross-sectional study. Journal of Radiological Protection. 40(2). 465–476. 1 indexed citations
3.
Mathey, Guillaume, Marc Debouverie, Catherine Malaplate, et al.. (2019). High performance of cerebrospinal fluid immunoglobulin G analysis for diagnosis of multiple sclerosis. Journal of Neurology. 266(4). 902–909. 3 indexed citations
4.
Latourte, Augustin, Willy Ngueyon Sime, Abdou Y. Omorou, et al.. (2019). Do corticosteroids or hyaluronic acid intra-articular injections impact the risk of total knee replacement? Real-life data from the khoala cohort. Osteoarthritis and Cartilage. 27. S509–S510. 3 indexed citations
5.
Garbar, Christian, et al.. (2018). Adjuvant radiation therapy for malignant Abrikossoff’s tumor: a case report about a femoral triangle localisation. Radiation Oncology. 13(1). 115–115. 4 indexed citations
6.
Epstein, Jonathan, Marc Soudant, Maud Michaud, et al.. (2018). Clinical follow‐up of 411 patients with relapsing and progressive multiple sclerosis 10 years after discontinuing mitoxantrone treatment: a real‐life cohort study. European Journal of Neurology. 25(12). 1439–1445. 12 indexed citations
7.
Guillemin, Francis, et al.. (2017). Older Age at Multiple Sclerosis Onset Is an Independent Factor of Poor Prognosis: A Population-Based Cohort Study. Neuroepidemiology. 48(3-4). 179–187. 62 indexed citations
8.
Debouverie, Marc, Michel Grzebyk, David Brassat, et al.. (2016). Geographical Heterogeneity of Multiple Sclerosis Prevalence in France. PLoS ONE. 11(12). e0167556–e0167556. 13 indexed citations
9.
Latarche, Clotilde, et al.. (2015). No prognostic value of routine cerebrospinal fluid biomarkers in a population-based cohort of 407 multiple sclerosis patients. BMC Neurology. 15(1). 79–79. 20 indexed citations
10.
Virion, Jean‐Marc, et al.. (2013). Estimating the Prevalence of Systemic Sclerosis in the Lorraine Region, France, by the Capture–recapture Method. Seminars in Arthritis and Rheumatism. 42(5). 530–538. 14 indexed citations
11.
12.
Debouverie, Marc, S. Pittion‐Vouyovitch, & Francis Guillemin. (2009). Reconsidérer l’apparition du handicap dès le début de la SEP : la fatigue. Revue Neurologique. 165. S135–S144. 6 indexed citations
13.
Debouverie, Marc, S. Pittion‐Vouyovitch, Hélène Brissart, & Francis Guillemin. (2008). Physical dimension of fatigue correlated with disability change over time in patients with multiple sclerosis. Journal of Neurology. 255(5). 633–636. 24 indexed citations
14.
Debouverie, Marc, et al.. (2008). Natural history of multiple sclerosis in a population‐based cohort. European Journal of Neurology. 15(9). 916–921. 121 indexed citations
15.
Pittion‐Vouyovitch, S., Marc Debouverie, Francis Guillemin, et al.. (2006). Fatigue in multiple sclerosis is related to disability, depression and quality of life. Journal of the Neurological Sciences. 243(1-2). 39–45. 189 indexed citations
16.
Bellou, Abdelouahab, et al.. (2005). Performance of magnetic resonance angiography in suspected acute pulmonary embolism. Thrombosis and Haemostasis. 93(3). 503–511. 28 indexed citations
17.
Marchal, Frédéric, D. Elias, Philippe Rauch, et al.. (2004). Biliary Lesions during Radiofrequency Ablation in Liver. European Surgical Research. 36(2). 88–94. 24 indexed citations
18.
Rat, Anne‐Christine & Francis Guillemin. (2004). Épidémiologie et impact médico-économique des cervicalgies. Revue du Rhumatisme. 71(8). 653–658. 5 indexed citations
19.
Abu‐Shakra, Mahmoud, Francis Guillemin, & Peter Lee. (1994). Gastrointestinal manifestations of systemic sclerosis. Seminars in Arthritis and Rheumatism. 24(1). 29–39. 131 indexed citations
20.
Abu‐Shakra, Mahmoud, Francis Guillemin, & Peter Lee. (1993). Cancer in systemic sclerosis. Arthritis & Rheumatism. 36(4). 460–464. 161 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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