Mary‐Anne Trabaud

3.3k total citations
55 papers, 1.6k citations indexed

About

Mary‐Anne Trabaud is a scholar working on Infectious Diseases, Epidemiology and Hepatology. According to data from OpenAlex, Mary‐Anne Trabaud has authored 55 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Infectious Diseases, 24 papers in Epidemiology and 22 papers in Hepatology. Recurrent topics in Mary‐Anne Trabaud's work include Hepatitis C virus research (21 papers), HIV Research and Treatment (19 papers) and Hepatitis B Virus Studies (17 papers). Mary‐Anne Trabaud is often cited by papers focused on Hepatitis C virus research (21 papers), HIV Research and Treatment (19 papers) and Hepatitis B Virus Studies (17 papers). Mary‐Anne Trabaud collaborates with scholars based in France, United States and Switzerland. Mary‐Anne Trabaud's co-authors include C. Trépo, Geneviève Inchauspé, Françoise Berby, Hervé Lerat, Patrice André, Sylvie Rumin, Olivier Vidalin, Marian Major, François Habersetzer and Vinca Icard and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Mary‐Anne Trabaud

52 papers receiving 1.6k citations

Peers

Mary‐Anne Trabaud
Comparison fields: 5 of 82
  • Hepatology 975
  • Epidemiology 860
  • Infectious Diseases 480
  • Virology 355
  • Molecular Biology 215
Replace Gerald Eder with:
Gerald Eder Austria
Julia Bitzegeio Germany
Zhibing Yun Sweden
Eliot Godofsky United States
H. J. Alter United States
K.‐H. Heermann Germany
Shinichi Asabe Japan
David Y. Chien United States
Atsushi Shimoda Japan
Joe Kansopon United States
Gerald Eder Austria View profile →
Citations per field, relative to Mary‐Anne Trabaud
Mary‐Anne Trabaud · 1×
Citations per year, relative to Mary‐Anne Trabaud
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Countries citing papers authored by Mary‐Anne Trabaud

Since Specialization
Citations

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

Fields of papers citing papers by Mary‐Anne Trabaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary‐Anne Trabaud. 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 Mary‐Anne Trabaud. The network helps show where Mary‐Anne Trabaud may publish in the future.

Co-authorship network of co-authors of Mary‐Anne Trabaud

This figure shows the co-authorship network connecting the top 25 collaborators of Mary‐Anne Trabaud. A scholar is included among the top collaborators of Mary‐Anne Trabaud 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 Mary‐Anne Trabaud. Mary‐Anne Trabaud 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 0
2 2
3 13
4 47
5 1
6 6
7 6
8 29
9 37
10 37
11 14
12 7
13 12
14 70
15 22
16 23
17 51
18 8
19 7
20 228

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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