P. Matsiota-Bernard

946 citations
33 papers · 681 indexed · h-index 17
Topics
Mycobacterium research and diagnosis (12 papers)Tuberculosis Research and Epidemiology (10 papers)Legionella and Acanthamoeba research (7 papers)
Partner nations
FranceGreeceMorocco

In The Last Decade

P. Matsiota-Bernard

33 papers receiving 655 citations

Peers

P. Matsiota-Bernard
Comparison fields: 5 of 79
  • Infectious Diseases 309
  • Epidemiology 280
  • Endocrinology 209
  • Molecular Biology 151
  • Immunology 121
Replace Yoshihito Otsuka with:
Yoshihito Otsuka Japan
J Band United States
I. Surmont Belgium
K T Luh Taiwan
H S Leu Taiwan
D. L. Weinbaum United States
Anna Nanetti Italy
J. Gigi Belgium
Gorm Lisby Denmark
Nidhi Singla India
P. Matsiota-Bernard relative to Yoshihito Otsuka Japan Yoshihito Otsuka's profile →
Citations per field
00.5×1.5×1.9×
Yoshihito Otsuka · 1×
Citations per year

Countries citing papers authored by P. Matsiota-Bernard

Since Specialization
Citations

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

Fields of papers citing papers by P. Matsiota-Bernard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Matsiota-Bernard. 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 P. Matsiota-Bernard. The network helps show where P. Matsiota-Bernard may publish in the future.

Co-authorship network of co-authors of P. Matsiota-Bernard

This figure shows the co-authorship network connecting the top 25 collaborators of P. Matsiota-Bernard. A scholar is included among the top collaborators of P. Matsiota-Bernard 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 P. Matsiota-Bernard. P. Matsiota-Bernard 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
#WorkIndexed citations
1 30
2 33
3 1
4 2
5 15
6 4
7 5
8 64
9 10
10 18
11 1
12 12
13 26
14 73
15 1
16 16
17 17
18 2
19 8
20 11

About P. Matsiota-Bernard

P. Matsiota-Bernard is a scholar working on Endocrinology, Infectious Diseases and Epidemiology, having authored 33 papers that have together received 681 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (12 papers), Tuberculosis Research and Epidemiology (10 papers) and Legionella and Acanthamoeba research (7 papers). The work is most often cited by research in Endocrinology (209 citations), Infectious Diseases (309 citations) and Small Animals (73 citations). P. Matsiota-Bernard has collaborated with scholars based in France, Greece and Morocco. Frequent co-authors include C Nauciel, Georgia Vrioni, N.J. Legakis, Sandrine Pié, Paolo Truffa‐Bachi, Moncef Guenounou, S. Dubrou, Christine Lawrence, Stratis Avraméas and Jean‐Luc Guesdon. Their work appears in journals such as Journal of Clinical Microbiology, Infection and Immunity and European Journal of Immunology.

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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