Héloïse M. Leclair
Impact in
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- interferon and immune responses
- Immune Cell Function and Interaction
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- NF-κB Signaling Pathways
Papers in
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- Melanoma and MAPK Pathways 4
- Receptor Mechanisms and Signaling 2
- Ubiquitin and proteasome pathways 2
- Oncology 7
- Viral-associated cancers and disorders 2
- Peptidase Inhibition and Analysis 2
- Chemokine receptors and signaling 1
- Co-authors
- Julie Gavard (8 shared papers)Nicolas Bidère (7 shared papers)Sonia M. Dubois (3 shared papers)Catherine Alexia (4 shared papers)Karin Tarte (2 shared papers)Sandy Azzi (4 shared papers)Marie‐Dominique Galibert (4 shared papers)Sébastien Corre (4 shared papers)
- Journals
- Cell Communication and Signaling (3 papers)EMBO Molecular Medicine (2 papers)BMC Cell Biology (1 paper)Nature Communications (1 paper)Brain (1 paper)
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Héloïse M. Leclair
12 papers receiving 395 citations
Peers
Comparison fields: 5 of 71
- Immunology 127
- Cancer Research 86
- Biological Psychiatry 13
- Pharmacology 58
- Oncology 90
Countries citing papers authored by Héloïse M. Leclair
This map shows the geographic impact of Héloïse M. Leclair'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 Héloïse M. Leclair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Héloïse M. Leclair more than expected).
Fields of papers citing papers by Héloïse M. Leclair
This network shows the impact of papers produced by Héloïse M. Leclair. 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 Héloïse M. Leclair. The network helps show where Héloïse M. Leclair may publish in the future.
Co-authors
The 25 scholars most cited alongside Héloïse M. Leclair, 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 | 2014 | 82 | |
| 2 | 2018 | 81 | |
| 3 | 2017 | 70 | |
| 4 | 2013 | 33 | |
| 5 | 2013 | 27 | |
| 6 | 2021 | 21 | |
| 7 | 2022 | 19 | |
| 8 | 2015 | 16 | |
| 9 | 2014 | 15 | |
| 10 | 2013 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2015 | 9 |
About Héloïse M. Leclair
Héloïse M. Leclair is a scholar working on Molecular Biology, Oncology, Immunology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 12 papers that have together received 396 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Computational Drug Discovery Methods (2 papers), Viral-associated cancers and disorders (2 papers), NF-κB Signaling Pathways (2 papers), Receptor Mechanisms and Signaling (2 papers), Ubiquitin and proteasome pathways (2 papers), Peptidase Inhibition and Analysis (2 papers) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Immunology (127 citations), Cancer Research (86 citations), Biological Psychiatry (13 citations), Pharmacology (58 citations) and Oncology (90 citations). Héloïse M. Leclair has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Julie Gavard, Nicolas Bidère, Sonia M. Dubois, Catherine Alexia, Karin Tarte, Sandy Azzi, Marie‐Dominique Galibert, Sébastien Corre, Elizabeth Harford‐Wright and Zhijian J. Chen. Their work appears in journals such as Cell Communication and Signaling, EMBO Molecular Medicine, BMC Cell Biology, Nature Communications and Brain.
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.