Marc Labriffe

29 papers receiving 383 citations

Peers

Marc Labriffe
Comparison fields: 5 of 62
  • Transplantation 112
  • Health Informatics 16
  • Statistics and Probability 68
  • Pharmacology 82
  • Applied Microbiology and Biotechnology 9
Replace Ulrika Wählby with:
Ulrika Wählby Sweden
Mélanie Wilbaux Switzerland
Aurélie Prémaud France
Andrew P. Michelson United States
Joakim Nyberg Sweden
Nastya Kassir United States
Holli H. Dilks United States
Xiujuan Chen China
Benjamin Staley United States
Rubin Lubomirov Spain
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Citations per field
00.5×12.4×
Ulrika Wählby · 1×
Citations per year

Countries citing papers authored by Marc Labriffe

Since Specialization
Citations

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

Fields of papers citing papers by Marc Labriffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202071
2 202148
3 202142
4 202235
5 202229
6 202225
7 201422
8 202219
9 202317
10 202410
11 202210
12 20209
13 20229
14 20236
15 20246
16 20226
17 20244
18 20243
19 20233
20 20252

About Marc Labriffe

Marc Labriffe is a scholar working on Transplantation, Pharmacology, Surgery, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 36 papers that have together received 386 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (17 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers), Pharmacological Effects and Toxicity Studies (6 papers), Statistical Methods in Clinical Trials (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Transplantation: Methods and Outcomes (3 papers). The work is most often cited by research in Transplantation (112 citations), Health Informatics (16 citations), Statistics and Probability (68 citations), Pharmacology (82 citations) and Applied Microbiology and Biotechnology (9 citations). Marc Labriffe has collaborated with scholars based in France, Germany and Belgium. Frequent co-authors include Pierre Marquet, Jean‐Baptiste Woillard, Jean Debord, Aurélie Prémaud, Alexandre Destère, Caroline Monchaud, Sebastian G. Wicha, Évelyne Jacqz-Aigrain, S. Willoteaux and Milou‐Daniel Drici. Their work appears in journals such as Therapeutic Drug Monitoring, British Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, Pharmaceutical Research and Antimicrobial Agents and Chemotherapy.

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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