Daniel Léonard
Impact in
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- Archaeology and ancient environmental studies
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- Ubiquitin and proteasome pathways
- Protein Tyrosine Phosphatases
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Protein Degradation and Inhibitors
Papers in
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- Ubiquitin and proteasome pathways 2
- Wnt/β-catenin signaling in development and cancer 2
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- Geology and Paleoclimatology Research 5
- Co-authors
- Goutham Narla (5 shared papers)Caitlin M. O’Connor (4 shared papers)Abbey Perl (2 shared papers)Jaya Sangodkar (3 shared papers)Daniela Schlatzer (3 shared papers)Zhizhi Wang (3 shared papers)Wenqing Xu (3 shared papers)Derek J. Taylor (3 shared papers)
- Journals
- Geoarchaeology (2 papers)Frontiers in Earth Science (1 paper)Organogenesis (1 paper)Oncogene (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)
- Partner nations
- United StatesMexicoCanada
In The Last Decade
Daniel Léonard
18 papers receiving 482 citations
Peers
Comparison fields: 5 of 100
- Paleontology 37
- Molecular Biology 295
- Cancer Research 58
- Cell Biology 63
- Oncology 67
Countries citing papers authored by Daniel Léonard
This map shows the geographic impact of Daniel Léonard'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 Daniel Léonard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Léonard more than expected).
Fields of papers citing papers by Daniel Léonard
This network shows the impact of papers produced by Daniel Léonard. 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 Daniel Léonard. The network helps show where Daniel Léonard may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Léonard, 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 | 2017 | 149 | |
| 2 | 2020 | 120 | |
| 3 | 2019 | 44 | |
| 4 | 2019 | 30 | |
| 5 | 2010 | 23 | |
| 6 | 2017 | 18 | |
| 7 | 2016 | 17 | |
| 8 | 2020 | 17 | |
| 9 | 2011 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2021 | 10 | |
| 12 | 2018 | 8 | |
| 13 | 2021 | 6 | |
| 14 | 2016 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2021 | 2 | |
| 18 | 2008 | 1 | |
| 19 | 1990 | 0 |
About Daniel Léonard
Daniel Léonard is a scholar working on Molecular Biology, Atmospheric Science, Paleontology, Oncology and Archeology, having authored 19 papers that have together received 488 indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (5 papers), Archaeology and ancient environmental studies (3 papers), Peptidase Inhibition and Analysis (3 papers), Ubiquitin and proteasome pathways (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Building materials and conservation (2 papers) and Tardigrade Biology and Ecology (1 paper). The work is most often cited by research in Paleontology (37 citations), Molecular Biology (295 citations), Cancer Research (58 citations), Cell Biology (63 citations) and Oncology (67 citations). Daniel Léonard has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Goutham Narla, Caitlin M. O’Connor, Abbey Perl, Jaya Sangodkar, Daniela Schlatzer, Zhizhi Wang, Wenqing Xu, Derek J. Taylor, Elizabeth Solleiro‐Rebolledo and Sergey Sedov. Their work appears in journals such as Geoarchaeology, Frontiers in Earth Science, Organogenesis, Oncogene and The International Journal of Biochemistry & Cell 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.