Sofie Goethals
Impact in
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- Nerve injury and regeneration
- Hereditary Neurological Disorders
- Genetic Neurodegenerative Diseases
- Developmental Neuroscience top 10%
Papers in
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- Explainable Artificial Intelligence (XAI) 6
- Adversarial Robustness in Machine Learning 4
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- Heat shock proteins research 4
- Co-authors
- Vincent Timmerman (8 shared papers)Sophie Janssens (7 shared papers)Elke Ydens (3 shared papers)Leonardo Almeida-Souza (5 shared papers)Bob Asselbergh (5 shared papers)Guillaume Lornet (2 shared papers)David Martens (6 shared papers)Vicky De Winter (4 shared papers)
- Journals
- animal (4 papers)Frontiers in Medicine (2 papers)The FASEB Journal (2 papers)Neurobiology of Disease (2 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- BelgiumUnited KingdomNetherlands
In The Last Decade
Sofie Goethals
25 papers receiving 880 citations
Peers
Comparison fields: 5 of 115
- Cellular and Molecular Neuroscience 321
- Developmental Neuroscience 52
- Neurology 99
- Aging 16
- Health Informatics 10
Countries citing papers authored by Sofie Goethals
This map shows the geographic impact of Sofie Goethals'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 Sofie Goethals with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofie Goethals more than expected).
Fields of papers citing papers by Sofie Goethals
This network shows the impact of papers produced by Sofie Goethals. 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 Sofie Goethals. The network helps show where Sofie Goethals may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofie Goethals, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 136 | |
| 2 | 2010 | 122 | |
| 3 | 2013 | 95 | |
| 4 | 2011 | 89 | |
| 5 | 2010 | 88 | |
| 6 | 2019 | 78 | |
| 7 | 2010 | 72 | |
| 8 | 2022 | 55 | |
| 9 | 2008 | 40 | |
| 10 | 2014 | 28 | |
| 11 | 2013 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2019 | 7 | |
| 17 | 2018 | 6 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2008 | 3 |
About Sofie Goethals
Sofie Goethals is a scholar working on Artificial Intelligence, Molecular Biology, Cellular and Molecular Neuroscience, Small Animals and Animal Science and Zoology, having authored 30 papers that have together received 894 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (6 papers), Hereditary Neurological Disorders (5 papers), Heat shock proteins research (4 papers), Adversarial Robustness in Machine Learning (4 papers), Animal Behavior and Welfare Studies (4 papers), Cancer Genomics and Diagnostics (3 papers), Ethics and Social Impacts of AI (3 papers) and Effects of Environmental Stressors on Livestock (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (321 citations), Developmental Neuroscience (52 citations), Neurology (99 citations), Aging (16 citations) and Health Informatics (10 citations). Sofie Goethals has collaborated with scholars based in Belgium, United Kingdom and Netherlands. Frequent co-authors include Vincent Timmerman, Sophie Janssens, Elke Ydens, Leonardo Almeida-Souza, Bob Asselbergh, Guillaume Lornet, David Martens, Vicky De Winter, Joy Irobi and Jean‐Pierre Timmermans. Their work appears in journals such as animal, Frontiers in Medicine, The FASEB Journal, Neurobiology of Disease and Journal of Biological 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.