Isabelle S. Lucet
- Immunology top 2%
- Oncology top 2%
- Cytokine Signaling Pathways and Interactions 9
- Genetics top 2%
- Bacterial Genetics and Biotechnology 10
- Molecular Biology top 5%
- Cell death mechanisms and regulation 7
- Protein Kinase Regulation and GTPase Signaling 6
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease 11
- Microtubule and mitosis dynamics 9
- Hippo pathway signaling and YAP/TAZ 7
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- Enzyme Structure and Function 6
- Co-authors
- James M. MurphyJeffrey J. BabonNicos A. NicolaLeila N. VargheseOnisha PatelNadia J. KershawAndrew F. WilksArtem Laktyushin
- Cited by
- ImmunologyOncologyGenetics
- Journals
- Nature Communications (6 papers)Biochemical Journal (5 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Isabelle S. Lucet
64 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Immunology 1.2k
- Oncology 1.2k
- Genetics 353
- Molecular Biology 2.1k
- Cell Biology 453
Countries citing papers authored by Isabelle S. Lucet
This map shows the geographic impact of Isabelle S. Lucet'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 Isabelle S. Lucet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabelle S. Lucet more than expected).
Fields of papers citing papers by Isabelle S. Lucet
This network shows the impact of papers produced by Isabelle S. Lucet. 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 Isabelle S. Lucet. The network helps show where Isabelle S. Lucet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Isabelle S. Lucet, 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 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 9 | |
| 9 | 2020 | 45 | |
| 10 | 2020 | 3 | |
| 11 | 2019 | 88 | |
| 12 | 2019 | 10 | |
| 13 | 2018 | 26 | |
| 14 | 2017 | 33 | |
| 15 | 2013 | 30 | |
| 16 | 2008 | 57 | |
| 17 | 2006 | 12 | |
| 18 | The structural basis of Janus Kinase 2 inhibition by a potent and specific pan-Janus kinase inhibitor | 2005 | 1 |
| 19 | 2004 | 15 | |
| 20 | 2000 | 62 |
About Isabelle S. Lucet
Isabelle S. Lucet is a scholar working on Cell Biology, Molecular Biology and Immunology, having authored 64 papers that have together received 3.9k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (11 papers), Bacterial Genetics and Biotechnology (10 papers), Microtubule and mitosis dynamics (9 papers), Cytokine Signaling Pathways and Interactions (9 papers), Cell death mechanisms and regulation (7 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Enzyme Structure and Function (6 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (1.2k citations) and Genetics (353 citations). Isabelle S. Lucet has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include James M. Murphy, Jeffrey J. Babon, Nicos A. Nicola, Leila N. Varghese, Onisha Patel, Nadia J. Kershaw, Andrew F. Wilks, Artem Laktyushin, Samuel N. Young and Jamie Rossjohn. Their work appears in journals such as Nature Communications, Biochemical Journal, Journal of Biological Chemistry, Molecular Microbiology and Journal of Molecular Biology.
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.