Éric Audemard
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Immunology top 10%
- Immunotherapy and Immune Responses
Papers in
-
- Retinoids in leukemia and cellular processes 2
- Genomics and Phylogenetic Studies 2
- Extracellular vesicles in disease 2
- Glycosylation and Glycoproteins Research 1
-
- Immunotherapy and Immune Responses 2
- Co-authors
- Shilpa Chennakrishnaiah (1 shared paper)Laura Montermini (1 shared paper)Tae Hoon Lee (1 shared paper)Brian Meehan (1 shared paper)Janusz Rak (1 shared paper)Patrick Gendron (3 shared papers)Sébastien Lemieux (4 shared papers)Claude Perreault (2 shared papers)
- Journals
- Life Science Alliance (1 paper)Blood (1 paper)Oncogene (1 paper)Biochemical and Biophysical Research Communications (1 paper)Scientific Reports (1 paper)
- Partner nations
- CanadaUnited StatesMorocco
In The Last Decade
Éric Audemard
9 papers receiving 690 citations
Éric Audemard's Hit Papers
Peers
Comparison fields: 5 of 54
- Cancer Research 202
- Immunology 257
- Oncology 182
- Molecular Biology 488
- Hematology 60
Countries citing papers authored by Éric Audemard
This map shows the geographic impact of Éric Audemard'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 Éric Audemard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Audemard more than expected).
Fields of papers citing papers by Éric Audemard
This network shows the impact of papers produced by Éric Audemard. 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 Éric Audemard. The network helps show where Éric Audemard may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Audemard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Noncoding regions are the main source of targetable tumor-specific antigens Hit paper breakdown → | 2018 | 351 |
| 2 | 2014 | 176 | |
| 3 | 2019 | 63 | |
| 4 | 2020 | 58 | |
| 5 | 2018 | 33 | |
| 6 | 2019 | 13 | |
| 7 | 2012 | 7 | |
| 8 | 2018 | 1 | |
| 9 | 2022 | 1 |
About Éric Audemard
Éric Audemard is a scholar working on Molecular Biology, Immunology, Genetics, Hematology and Oncology, having authored 9 papers that have together received 703 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Immunotherapy and Immune Responses (2 papers), Retinoids in leukemia and cellular processes (2 papers), Genomics and Phylogenetic Studies (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Extracellular vesicles in disease (2 papers), Estrogen and related hormone effects (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cancer Research (202 citations), Immunology (257 citations), Oncology (182 citations), Molecular Biology (488 citations) and Hematology (60 citations). Éric Audemard has collaborated with scholars based in Canada, United States and Morocco. Frequent co-authors include Shilpa Chennakrishnaiah, Laura Montermini, Tae Hoon Lee, Brian Meehan, Janusz Rak, Patrick Gendron, Sébastien Lemieux, Claude Perreault, Marie‐Pierre Hardy and Céline M. Laumont. Their work appears in journals such as Life Science Alliance, Blood, Oncogene, Biochemical and Biophysical Research Communications and Scientific Reports.
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.