Marc Girard

7.1k total citations · 1 hit paper
27 papers, 1.9k citations indexed

About

Marc Girard is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marc Girard has authored 27 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pathology and Forensic Medicine, 11 papers in Molecular Biology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marc Girard's work include Multiple Sclerosis Research Studies (11 papers), Viral Infections and Immunology Research (8 papers) and Polyomavirus and related diseases (6 papers). Marc Girard is often cited by papers focused on Multiple Sclerosis Research Studies (11 papers), Viral Infections and Immunology Research (8 papers) and Polyomavirus and related diseases (6 papers). Marc Girard collaborates with scholars based in France, Canada and United States. Marc Girard's co-authors include Pierre Duquette, James Darnell, David Baltimore, Louise Charest, J Pleines, Caroline Masse, Daniel Marc, Michèle Bouloy, Katherine M. Kean and Enric Tello and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and Neurology.

In The Last Decade

Marc Girard

27 papers receiving 1.8k citations

Hit Papers

Interferon beta-1b is effective in relapsing-remitting mu... 1993 2026 2004 2015 1993 250 500 750 1000

Peers

Marc Girard
Comparison fields: 5 of 120
  • Pathology and Forensic Medicine 1.0k
  • Rheumatology 398
  • Oncology 394
  • Neurology 372
  • Immunology 348
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Citations per field, relative to Marc Girard
Marc Girard · 1×
Citations per year, relative to Marc Girard
Marc Girard · 1×

Countries citing papers authored by Marc Girard

Since Specialization
Citations

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

Fields of papers citing papers by Marc Girard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Girard

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Girard. A scholar is included among the top collaborators of Marc Girard 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 Marc Girard. Marc Girard 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 2
2 3
3 9
4 10
5 6
6 8
7 1
8 36
9 62
10 122
11 3
12
Interferon beta-1b is effective in relapsing-remitting multiple sclerosis. I. Clinical results of a multicenter, randomized, double-blind, placebo-controlled trial. The IFNB Multiple Sclerosis Study Group. breakdown →
1014
13 29
14 43
15 72
16 18
17 21
18 20
19 1
20 119

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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