Marie Hébert

623 total citations
12 papers, 500 citations indexed

About

Marie Hébert is a scholar working on Molecular Biology, Nephrology and Transplantation. According to data from OpenAlex, Marie Hébert has authored 12 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Nephrology and 4 papers in Transplantation. Recurrent topics in Marie Hébert's work include Renal Transplantation Outcomes and Treatments (3 papers), Renal Diseases and Glomerulopathies (3 papers) and Renal and related cancers (2 papers). Marie Hébert is often cited by papers focused on Renal Transplantation Outcomes and Treatments (3 papers), Renal Diseases and Glomerulopathies (3 papers) and Renal and related cancers (2 papers). Marie Hébert collaborates with scholars based in Canada, United States and Switzerland. Marie Hébert's co-authors include Hugh R. Brady, Takako Takano, Harry Holthöfer, Jean‐François Cailhier, Patrick Laplante, Jun-ichi Abe, Renato V. Iozzo, Tomoko Takano, A Papayianni and Helmut G. Rennke and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Kidney International.

In The Last Decade

Marie Hébert

10 papers receiving 495 citations

Peers

Marie Hébert
Comparison fields: 5 of 77
  • Immunology 194
  • Molecular Biology 152
  • Surgery 107
  • Nephrology 101
  • Transplantation 98
Replace E. Schrama with:
E. Schrama Netherlands
A Moutabarrik Japan
Robert A. Holzknecht United States
Dameng Lian Canada
Andrea Tagwerker Austria
Wendy M. Mol Netherlands
Leonard J. Quadracci United States
Jeannig Berrou France
Ludmilla Le Berre France
Maria C. Borrias Netherlands
E. Schrama Netherlands View profile →
Citations per field, relative to Marie Hébert
Marie Hébert · 1×
Citations per year, relative to Marie Hébert
Marie Hébert · 1×

Countries citing papers authored by Marie Hébert

Since Specialization
Citations

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

Fields of papers citing papers by Marie Hébert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Hébert

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 0
2 0
3 38
4 16
5 38
6 58
7 15
8 65
9 30
10 75
11 147
12
Determinants of late allograft nephrectomy.
18

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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