Éric Audemard

1.0k citations
9 papers · 664 indexed · 1 hit paper · h-index 7

Impact in

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2
    • Acute Myeloid Leukemia Research 2

Éric Audemard

9 papers receiving 653 citations

Hit Papers

Noncoding regions are the main source of targetable tumor-specific antigens 2018 · 335 citations
3352018202620202023100200300

Peers

Éric Audemard
Comparison fields: 5 of 56
  • Cancer Research 209
  • Immunology 265
  • Molecular Biology 483
  • Oncology 188
  • Hematology 54
Replace Karel Fostier with:
Karel Fostier Belgium
Qing Tong China
Silke Raffegerst Germany
Daniel Vodák Norway
Astrid Ruefli-Brasse United States
Zachary Kraus United States
Changchuin Mao United States
Nasrin Rastgoo Canada
Amy Reichlin United States
Theresa A. Colligon United States
Éric Audemard relative to Karel Fostier Belgium Karel Fostier's profile →
Citations per field
00.5×1.5×2.4×
Karel Fostier · 1×
Citations per year

Countries citing papers authored by Éric Audemard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Éric Audemard Line = papers co-authored together Éric Audemard links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Noncoding regions are the main source of targetable tumor-specific antigens
Hit paper breakdown →
2018335
2 2014169
3 201957
4 202051
5 201831
6 201913
7 20126
8 20221
9 20181

About Éric Audemard

Éric Audemard is a scholar working on Genetics, Hematology, Immunology and Allergy, Immunology and Molecular Biology, having authored 9 papers that have together received 664 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Genomics and Phylogenetic Studies (2 papers), Acute Myeloid Leukemia Research (2 papers), Extracellular vesicles in disease (2 papers), Immunotherapy and Immune Responses (2 papers), Retinoids in leukemia and cellular processes (2 papers), interferon and immune responses (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Cancer Research (209 citations), Immunology (265 citations), Molecular Biology (483 citations), Oncology (188 citations) and Hematology (54 citations). Éric Audemard has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Tae Hoon Lee, Shilpa Chennakrishnaiah, Laura Montermini, Brian Meehan, Janusz Rak, Patrick Gendron, Sébastien Lemieux, Claude Perreault, Marie‐Pierre Hardy and Mathieu Courcelles. Their work appears in journals such as Scientific Reports, Science Translational Medicine, BMC Bioinformatics, Life Science Alliance and Blood Advances.

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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