Steven Husson
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms 37
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin 22
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- Photoreceptor and optogenetics research 11
- Neurobiology and Insect Physiology Research 11
- Neuropeptides and Animal Physiology 5
- Insect Science top 5%
- Cancer Research top 10%
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- Protein Hydrolysis and Bioactive Peptides 10
- Machine Learning in Bioinformatics 4
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- Advanced Proteomics Techniques and Applications 8
- Co-authors
- Liliane SchoofsTom JanssenGeert BaggermanAlexander GottschalkMarleen LindemansElke ClynenJo Van DammePhilippe E. Van den Steen
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)Neuron (1 paper)
- Partner nations
- BelgiumUnited StatesGermany
In The Last Decade
Steven Husson
63 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 133
- Aging 1.1k
- Endocrine and Autonomic Systems 780
- Cellular and Molecular Neuroscience 995
- Insect Science 183
- Cancer Research 202
Countries citing papers authored by Steven Husson
This map shows the geographic impact of Steven Husson'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 Steven Husson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Husson more than expected).
Fields of papers citing papers by Steven Husson
This network shows the impact of papers produced by Steven Husson. 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 Steven Husson. The network helps show where Steven Husson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven Husson, 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 | 2018 | 4 | |
| 2 | 2018 | 2 | |
| 3 | 2018 | 10 | |
| 4 | 2017 | 19 | |
| 5 | 2016 | 13 | |
| 6 | 2015 | 14 | |
| 7 | 2013 | 3 | |
| 8 | 2012 | 60 | |
| 9 | 2012 | 34 | |
| 10 | 2012 | 98 | |
| 11 | 2012 | 46 | |
| 12 | 2011 | 15 | |
| 13 | 2009 | 73 | |
| 14 | 2009 | 34 | |
| 15 | 2009 | 35 | |
| 16 | 2008 | 76 | |
| 17 | 2007 | 18 | |
| 18 | 2007 | 29 | |
| 19 | 2007 | 76 | |
| 20 | 2006 | 39 |
About Steven Husson
Steven Husson is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 64 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (37 papers), Circadian rhythm and melatonin (22 papers), Photoreceptor and optogenetics research (11 papers), Neurobiology and Insect Physiology Research (11 papers), Protein Hydrolysis and Bioactive Peptides (10 papers), Advanced Proteomics Techniques and Applications (8 papers), Neuropeptides and Animal Physiology (5 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Aging (1.1k citations), Endocrine and Autonomic Systems (780 citations) and Cellular and Molecular Neuroscience (995 citations). Steven Husson has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Liliane Schoofs, Tom Janssen, Geert Baggerman, Alexander Gottschalk, Marleen Lindemans, Elke Clynen, Jo Van Damme, Philippe E. Van den Steen, Ghislain Opdenakker and Paul Proost. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.
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.