Mathieu Ferrari

26 papers receiving 269 citations

Peers

Mathieu Ferrari
Comparison fields: 5 of 59
  • Rheumatology 71
  • Immunology 81
  • Radiology, Nuclear Medicine and Imaging 69
  • Genetics 28
  • Oncology 64
Replace Andrea Reitsma with:
Andrea Reitsma Australia
Wen‐Chuan Hsieh Taiwan
Brian Whitaker United States
Louise Saul United Kingdom
Agapitos Patakas United Kingdom
William Loo United States
Tihomir Dodev United Kingdom
Iga Janowska Germany
M Inês Pascoal Ramos Netherlands
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Citations per field
00.5×4.8×
Andrea Reitsma · 1×
Citations per year

Countries citing papers authored by Mathieu Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mathieu Ferrari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mathieu Ferrari Line = papers co-authored together Mathieu Ferrari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201553
2 201429
3
Methylenetetrahydrofolate reductase polymorphisms and methotrexate: no association with response to therapy nor with drug-related adverse events in an Italian population of rheumatic patients.
200926
4 202125
5 201517
6 202016
7 202413
8 202113
9 201113
10 201513
11 202111
12 20188
13 20217
14
BAEP and E.M.G. changes from whiplash injuries.
19947
15 20205
16 20204
17 20244
18 20233
19 20213
20 20111

About Mathieu Ferrari

Mathieu Ferrari is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology and Rheumatology, having authored 27 papers that have together received 278 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Rheumatoid Arthritis Research and Therapies (7 papers), CAR-T cell therapy research (6 papers), Acute Lymphoblastic Leukemia research (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers), HER2/EGFR in Cancer Research (3 papers), SARS-CoV-2 detection and testing (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Rheumatology (71 citations), Immunology (81 citations), Radiology, Nuclear Medicine and Imaging (69 citations), Genetics (28 citations) and Oncology (64 citations). Mathieu Ferrari has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Shimobi Onuoha, Costantino Pitzalis, Martin Pulé, Daniele Sblattero, M. Taraborelli, Roberta Cattaneo Horn, Silvana Archetti, Laura Andréoli, Reyisa Bughda and Anǵela Tincani. Their work appears in journals such as Annals of the Rheumatic Diseases, Frontiers in Immunology, Cancer Research, Blood and Scientific Reports.

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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