Yves Landry
- Molecular Biology top 5%
- Immunology top 2%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 2%
- Genetics top 2%
- Co-authors
- Christian BronnerMarc MousliJean‐Luc BuebJ.-P. GiesB. RouotJean‐Pierre GiesEric TschirhartJoël Bockaert
- Topics
- Mast cells and histamine (39 papers)Receptor Mechanisms and Signaling (35 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (27 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Yves Landry
134 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 2.4k
- Immunology 1.2k
- Cellular and Molecular Neuroscience 940
- Physiology 834
- Genetics 399
Countries citing papers authored by Yves Landry
This map shows the geographic impact of Yves Landry'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 Yves Landry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Landry more than expected).
Fields of papers citing papers by Yves Landry
This network shows the impact of papers produced by Yves Landry. 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 Yves Landry. The network helps show where Yves Landry may publish in the future.
Co-authorship network of co-authors of Yves Landry
This figure shows the co-authorship network connecting the top 25 collaborators of Yves Landry. A scholar is included among the top collaborators of Yves Landry based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yves Landry. Yves Landry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 121 | |
| 3 | 46 | |
| 4 | 26 | |
| 5 | 21 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 34 | |
| 9 | 7 | |
| 10 | 21 | |
| 11 | 24 | |
| 12 | Evidences for a regulating role of intracellular polyamines in the interaction of g proteins with receptors | 2 |
| 13 | 6 | |
| 14 | 25 | |
| 15 | 262 | |
| 16 | 158 | |
| 17 | Bibliographie courante sur l'histoire de la population canadienne et la demographie historique au Canada, 1987 | A Current Bibliography on the History of Canadian Population and Historical Demography in Canada, 1987 | 0 |
| 18 | 18 | |
| 19 | 13 | |
| 20 | Le cycle de vie familiale en Nouvelle-France : méthodologie et application à un échantillon | 2 |
About Yves Landry
Yves Landry is a scholar working on Genetics, Immunology and History and Philosophy of Science, having authored 141 papers that have together received 4.4k indexed citations. Recurring topics across this work include Mast cells and histamine (39 papers), Receptor Mechanisms and Signaling (35 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (27 papers). The work is most often cited by research in Immunology and Allergy (376 citations), Immunology (1.2k citations) and Cellular and Molecular Neuroscience (940 citations). Yves Landry has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Christian Bronner, Marc Mousli, Jean‐Luc Bueb, J.-P. Gies, B. Rouot, Jean‐Pierre Gies, Eric Tschirhart, Joël Bockaert, Bruno Rouot and Nelly Frossard. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and The Journal of Immunology.
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.