Marlyse Buisson

1.1k citations
38 papers · 906 · h-index 18

Impact in

  • Oncology top 5%
    • Viral-associated cancers and disorders
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments

Papers in

    • Viral-associated cancers and disorders 26
    • SARS-CoV-2 and COVID-19 Research 4
    • COVID-19 Clinical Research Studies 2

Marlyse Buisson

38 papers receiving 877 citations

Peers

Marlyse Buisson
Comparison fields: 5 of 59
  • Oncology 504
  • Epidemiology 135
  • Immunology 71
  • Virology 14
  • Infectious Diseases 55
Replace Suzane Ramos da Silva with:
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Yutaka Sugaya Japan
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Marlyse Buisson

Since Specialization
Citations

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

Fields of papers citing papers by Marlyse Buisson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marlyse Buisson, 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 Marlyse Buisson Line = papers co-authored together Marlyse Buisson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001120
2 200290
3 201082
4 200552
5 200948
6 200237
7 200637
8 199431
9 199931
10 199931
11 200929
12 201229
13 202229
14 200625
15 202124
16 200221
17 200119
18 201619
19 201717
20 201215

About Marlyse Buisson

Marlyse Buisson is a scholar working on Oncology, Infectious Diseases, Materials Chemistry, Epidemiology and Rheumatology, having authored 38 papers that have together received 906 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (26 papers), Enzyme Structure and Function (8 papers), Herpesvirus Infections and Treatments (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Cytomegalovirus and herpesvirus research (3 papers), COVID-19 Clinical Research Studies (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Oncology (504 citations), Epidemiology (135 citations), Immunology (71 citations), Virology (14 citations) and Infectious Diseases (55 citations). Marlyse Buisson has collaborated with scholars based in France, Netherlands and Algeria. Frequent co-authors include Jean‐Marie Seigneurin, Wim Pascal Burmeister, Patrice Morand, Nicolas Tarbouriech, Emmanuel J. H. J. Wiertz, Maaike E. Ressing, S. Cusack, Ingrid G. J. Boer, Daphne van Leeuwen and Karen Brengel‐Pesce. Their work appears in journals such as Journal of Molecular Biology, Scientific Reports, International Journal of Cancer, Journal of Medical Virology and British Journal of Cancer.

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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