M. Baccard

528 total citations
15 papers, 354 citations indexed

About

M. Baccard is a scholar working on Oncology, Infectious Diseases and Epidemiology. According to data from OpenAlex, M. Baccard has authored 15 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Infectious Diseases and 6 papers in Epidemiology. Recurrent topics in M. Baccard's work include Viral-associated cancers and disorders (6 papers), Parvovirus B19 Infection Studies (4 papers) and Cytomegalovirus and herpesvirus research (3 papers). M. Baccard is often cited by papers focused on Viral-associated cancers and disorders (6 papers), Parvovirus B19 Infection Studies (4 papers) and Cytomegalovirus and herpesvirus research (3 papers). M. Baccard collaborates with scholars based in France. M. Baccard's co-authors include Patrice Morand, Raphaële Germi, Jean‐Marie Seigneurin, Patrice Morel, H. Bachelez, O. Genoulaz, Louis Dubertret, F Sigaux, Patricia Pavèse and I. Moulonguet and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Scientific Reports.

In The Last Decade

M. Baccard

15 papers receiving 344 citations

Peers

M. Baccard
Comparison fields: 5 of 56
  • Oncology 171
  • Epidemiology 150
  • Pathology and Forensic Medicine 98
  • Infectious Diseases 94
  • Immunology 84
Replace Mario Magaña with:
Mario Magaña Mexico
A Linde Sweden
Yoshiaki Sumiyoshi Japan
J. M. Seigneurin France
Éric Legac France
Takanori Oda Japan
Isabelle Bourgault‐Villada France
Kenichirou Tajima Japan
William Klitz United States
Ari K. Saemundsen Sweden
Mario Magaña Mexico View profile →
Citations per field, relative to M. Baccard
M. Baccard · 1×
Citations per year, relative to M. Baccard
M. Baccard · 1×

Countries citing papers authored by M. Baccard

Since Specialization
Citations

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

Fields of papers citing papers by M. Baccard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Baccard

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 14
2 48
3 28
4 3
5 2
6 22
7 92
8 19
9
[Aggressive cutaneous T-cell lymphoma associated with the presence of Epstein-Barr virus. 2 cases].
10
10
Detection of clonal T-cell receptor gamma gene rearrangements with the use of the polymerase chain reaction in cutaneous lesions of mycosis fungoides and Sézary syndrome.
74
11 8
12 22
13 5
14 2
15
Monoclonal cryoimmunoglobulin with anti-cytomegalovirus activity associated with T cell chronic lymphocytic leukaemia.
5

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026