Nadia Anceriz
Impact in
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- Immune Response and Inflammation
- Biomarkers in Disease Mechanisms
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
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- S100 Proteins and Annexins
Papers in
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- S100 Proteins and Annexins 3
- Glycosylation and Glycoproteins Research 1
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Philippe A. Tessier (3 shared papers)Pascal Rouleau (1 shared paper)Karen Vandal (1 shared paper)Annabelle Césaro (1 shared paper)Nathalie Pagé (1 shared paper)Mélanie R. Tardif (1 shared paper)Pauline Malinge (2 shared papers)Giovanni Magistrelli (2 shared papers)
- Journals
- The Journal of Immunology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Cancer Research (1 paper)Journal of Immunological Methods (1 paper)PLoS ONE (1 paper)
- Partner nations
- CanadaSwitzerlandUnited States
In The Last Decade
Nadia Anceriz
6 papers receiving 318 citations
Peers
Comparison fields: 5 of 54
- Immunology 172
- Molecular Biology 202
- Immunology and Allergy 16
- Microbiology 16
- Cancer Research 26
Countries citing papers authored by Nadia Anceriz
This map shows the geographic impact of Nadia Anceriz'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 Nadia Anceriz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Anceriz more than expected).
Fields of papers citing papers by Nadia Anceriz
This network shows the impact of papers produced by Nadia Anceriz. 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 Nadia Anceriz. The network helps show where Nadia Anceriz may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadia Anceriz, 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 | 2008 | 109 | |
| 2 | 2012 | 96 | |
| 3 | 2007 | 69 | |
| 4 | 2014 | 32 | |
| 5 | 2011 | 14 | |
| 6 | 2016 | 3 |
About Nadia Anceriz
Nadia Anceriz is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Physiology, having authored 6 papers that have together received 323 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cell Adhesion Molecules Research (1 paper), Glycosylation and Glycoproteins Research (1 paper), Protease and Inhibitor Mechanisms (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Immunology (172 citations), Molecular Biology (202 citations), Immunology and Allergy (16 citations), Microbiology (16 citations) and Cancer Research (26 citations). Nadia Anceriz has collaborated with scholars based in Canada, Switzerland and United States. Frequent co-authors include Philippe A. Tessier, Pascal Rouleau, Karen Vandal, Annabelle Césaro, Nathalie Pagé, Mélanie R. Tardif, Pauline Malinge, Giovanni Magistrelli, Marie Kosco‐Vilbois and Laura Cons. Their work appears in journals such as The Journal of Immunology, Biochemical and Biophysical Research Communications, Cancer Research, Journal of Immunological Methods and PLoS ONE.
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.