Étienne Audet‐Walsh
- Molecular Biology
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 5%
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Vincent GiguèreTracey YeeChantal GuillemetteJulie St‐PierreMathieu VernierPatrick CaronCatherine R. DufourYves Fradet
- Topics
- Prostate Cancer Treatment and Research (26 papers)Estrogen and related hormone effects (17 papers)Cancer, Lipids, and Metabolism (14 papers)
- Journals
- Genes & DevelopmentSHILAP Revista de lepidopterologíaAnalytical Chemistry
- Partner nations
- CanadaUnited StatesTaiwan
In The Last Decade
Étienne Audet‐Walsh
55 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 682
- Cancer Research 399
- Pulmonary and Respiratory Medicine 389
- Genetics 358
- Endocrinology, Diabetes and Metabolism 233
Countries citing papers authored by Étienne Audet‐Walsh
This map shows the geographic impact of Étienne Audet‐Walsh'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 Étienne Audet‐Walsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Étienne Audet‐Walsh more than expected).
Fields of papers citing papers by Étienne Audet‐Walsh
This network shows the impact of papers produced by Étienne Audet‐Walsh. 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 Étienne Audet‐Walsh. The network helps show where Étienne Audet‐Walsh may publish in the future.
Co-authorship network of co-authors of Étienne Audet‐Walsh
This figure shows the co-authorship network connecting the top 25 collaborators of Étienne Audet‐Walsh. A scholar is included among the top collaborators of Étienne Audet‐Walsh 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 Étienne Audet‐Walsh. Étienne Audet‐Walsh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 10 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 25 | |
| 9 | 7 | |
| 10 | 24 | |
| 11 | 60 | |
| 12 | 17 | |
| 13 | 98 | |
| 14 | 69 | |
| 15 | 86 | |
| 16 | 29 | |
| 17 | 50 | |
| 18 | 48 | |
| 19 | 36 | |
| 20 | 9 |
About Étienne Audet‐Walsh
Étienne Audet‐Walsh is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (26 papers), Estrogen and related hormone effects (17 papers) and Cancer, Lipids, and Metabolism (14 papers). The work is most often cited by research in Cancer Research (399 citations), Endocrinology, Diabetes and Metabolism (233 citations) and Genetics (358 citations). Étienne Audet‐Walsh has collaborated with scholars based in Canada, United States and Taiwan. Frequent co-authors include Vincent Giguère, Tracey Yee, Chantal Guillemette, Julie St‐Pierre, Mathieu Vernier, Patrick Caron, Catherine R. Dufour, Yves Fradet, Louis Lacombe and Shawn McGuirk. Their work appears in journals such as Genes & Development, SHILAP Revista de lepidopterología and Analytical Chemistry.
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.