Mathieu Cellier

45 papers receiving 2.9k citations

Peers

Mathieu Cellier
Comparison fields: 5 of 97
  • Nutrition and Dietetics 1.2k
  • Hematology 860
  • Endocrinology 185
  • Genetics 294
  • Infectious Diseases 410
Replace Gregory Govoni with:
Gregory Govoni Canada
Pedro Rodrigues Portugal
Simon L. Newman United States
Xavier Lauth United States
Vaughn Ostland Canada
G D Ross United States
Bruce J. Shenker United States
Benjamin G. Cocks Australia
Benoît Marteyn France
J Besemer Austria
Mathieu Cellier relative to Gregory Govoni Canada Gregory Govoni's profile →
Citations per field
00.5×1.5×2.2×
Gregory Govoni · 1×
Citations per year

Countries citing papers authored by Mathieu Cellier

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Cellier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995282
2 1995244
3 1994226
4 1994213
5 2002193
6 2000190
7 2007159
8
Identification of polymorphisms and sequence variants in the human homologue of the mouse natural resistance-associated macrophage protein gene.
1995145
9 1996111
10 2006107
11 1995101
12 199587
13 200280
14 200175
15 201174
16 199770
17 199250
18 199542
19 200941
20 200439

About Mathieu Cellier

Mathieu Cellier is a scholar working on Nutrition and Dietetics, Molecular Biology, Hematology, Oncology and Genetics, having authored 46 papers that have together received 3.0k indexed citations. Recurring topics across this work include Trace Elements in Health (25 papers), Iron Metabolism and Disorders (15 papers), Drug Transport and Resistance Mechanisms (7 papers), RNA modifications and cancer (5 papers), Immune cells in cancer (4 papers), Vitamin D Research Studies (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Nutrition and Dietetics (1.2k citations), Hematology (860 citations), Endocrinology (185 citations), Genetics (294 citations) and Infectious Diseases (410 citations). Mathieu Cellier has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Philippe Gros, Silvia M. Vidal, Pascal Courville, Abdelmajid Belouchi, Danielle Malo, Tony Kwan, Erwin Schurr, Samantha Gruenheid, Carole G. Campion and Roman Chaloupka. Their work appears in journals such as Genomics, Biochemistry, Biology, Trends in Genetics and Journal of Parasitology.

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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