Sofie Goethals

1.2k total citations
26 papers, 836 citations indexed

About

Sofie Goethals is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Sofie Goethals has authored 26 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Artificial Intelligence. Recurrent topics in Sofie Goethals's work include Explainable Artificial Intelligence (XAI) (5 papers), Hereditary Neurological Disorders (5 papers) and Heat shock proteins research (4 papers). Sofie Goethals is often cited by papers focused on Explainable Artificial Intelligence (XAI) (5 papers), Hereditary Neurological Disorders (5 papers) and Heat shock proteins research (4 papers). Sofie Goethals collaborates with scholars based in Belgium, United Kingdom and Netherlands. Sofie Goethals's co-authors include Vincent Timmerman, Sophie Janssens, Elke Ydens, Leonardo Almeida‐Souza, Bob Asselbergh, Guillaume Lornet, Vicky De Winter, Joy Irobi, David Martens and Jean‐Pierre Timmermans and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Sofie Goethals

22 papers receiving 827 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sofie Goethals Belgium 12 344 325 123 113 113 26 836
Yuying Jiang China 18 791 2.3× 151 0.5× 91 0.7× 53 0.5× 77 0.7× 38 1.2k
Saori Shimizu United States 18 346 1.0× 263 0.8× 35 0.3× 170 1.5× 69 0.6× 43 1.1k
Guang Shi China 20 750 2.2× 199 0.6× 45 0.4× 23 0.2× 144 1.3× 50 1.2k
Ramu Elango Saudi Arabia 19 447 1.3× 91 0.3× 34 0.3× 94 0.8× 87 0.8× 76 1.0k
Tam Nguyen Australia 22 557 1.6× 167 0.5× 221 1.8× 158 1.4× 189 1.7× 38 1.2k
Ville Rantanen Finland 20 644 1.9× 115 0.4× 131 1.1× 46 0.4× 117 1.0× 38 1.3k
Takahiro Sasaki Japan 14 311 0.9× 181 0.6× 248 2.0× 75 0.7× 57 0.5× 18 657
Siavash Fazel Darbandi United States 11 1.0k 3.0× 105 0.3× 74 0.6× 55 0.5× 38 0.3× 13 1.6k
Felix Buggenthin Germany 6 208 0.6× 129 0.4× 44 0.4× 195 1.7× 41 0.4× 7 603
Hongwei Zheng China 15 387 1.1× 313 1.0× 82 0.7× 157 1.4× 106 0.9× 33 937

Countries citing papers authored by Sofie Goethals

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sofie Goethals

This figure shows the co-authorship network connecting the top 25 collaborators of Sofie Goethals. A scholar is included among the top collaborators of Sofie Goethals based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sofie Goethals. Sofie Goethals is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Goethals, Sofie, et al.. (2025). The Impact of Cloaking Digital Footprints on User Privacy and Personalization. Big Data. 13(5). 345–363.
2.
Goethals, Sofie, et al.. (2025). Monetization could corrupt algorithmic explanations. AI & Society. 40(8). 6291–6308.
3.
4.
Goethals, Sofie, Wim Gorssen, Roel Meyermans, et al.. (2025). How to assess litter uniformity in pigs: comparing metrics and investigating associations with sow and litter factors. animal. 19(3). 101454–101454.
5.
Goethals, Sofie, et al.. (2024). Lysine requirement of weaned piglets. animal. 19(1). 101323–101323. 2 indexed citations
6.
Goethals, Sofie, Kenneth Sörensen, & David Martens. (2023). The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks. ACM Transactions on Intelligent Systems and Technology. 14(5). 1–24. 9 indexed citations
7.
Goethals, Sofie, David Martens, & Toon Calders. (2023). PreCoF: counterfactual explanations for fairness. Machine Learning. 113(5). 3111–3142. 7 indexed citations
8.
Goethals, Sofie, David Martens, & Theodoros Evgeniou. (2022). The non-linear nature of the cost of comprehensibility. Journal Of Big Data. 9(1). 7 indexed citations
9.
Sorber, Laure, Karen Zwaenepoel, Julie Jacobs, et al.. (2019). Circulating Cell-Free DNA and RNA Analysis as Liquid Biopsy: Optimal Centrifugation Protocol. Cancers. 11(4). 458–458. 74 indexed citations
10.
Ho, Erwin, Stijn Van Hees, Sofie Goethals, et al.. (2019). Biobanking for Viral Hepatitis Research. Frontiers in Medicine. 6. 183–183. 7 indexed citations
11.
Alaerts, Maaike, Gerarda van de Beek, Ilse Luyckx, et al.. (2019). Cardiogeneticsbank@UZA: A Collection of DNA, Tissues, and Cell Lines as a Translational Tool. Frontiers in Medicine. 6. 198–198. 1 indexed citations
12.
Huizing, Manon, Konstantinos Papadimitriou, Xuan Bich Trinh, et al.. (2019). The prevalence of estrogen receptor-1 mutation in advanced breast cancer: The estrogen receptor one study (EROS1). Cancer Treatment and Research Communications. 19. 100123–100123. 14 indexed citations
13.
Janssens, Katrien, Sofie Goethals, Derek Atkinson, et al.. (2014). Human Rab7 mutation mimics features of Charcot–Marie–Tooth neuropathy type 2B in Drosophila. Neurobiology of Disease. 65. 211–219. 28 indexed citations
14.
Almeida‐Souza, Leonardo, Bob Asselbergh, Vicky De Winter, et al.. (2013). HSPB1 Facilitates the Formation of Non-Centrosomal Microtubules. PLoS ONE. 8(6). e66541–e66541. 14 indexed citations
15.
Ydens, Elke, et al.. (2013). The neuroinflammatory role of Schwann cells in disease. Neurobiology of Disease. 55. 95–103. 91 indexed citations
16.
Ydens, Elke, Anje Cauwels, Bob Asselbergh, et al.. (2012). Acute injury in the peripheral nervous system triggers an alternative macrophage response. Journal of Neuroinflammation. 9(1). 176–176. 132 indexed citations
17.
Almeida‐Souza, Leonardo, Bob Asselbergh, Constantin d’Ydewalle, et al.. (2011). Small Heat-Shock Protein HSPB1 Mutants Stabilize Microtubules in Charcot-Marie-Tooth Neuropathy. Journal of Neuroscience. 31(43). 15320–15328. 87 indexed citations
18.
Goethals, Sofie, Elke Ydens, Vincent Timmerman, & Sophie Janssens. (2010). Toll‐like receptor expression in the peripheral nerve. Glia. 58(14). 1701–1709. 115 indexed citations
19.
Almeida‐Souza, Leonardo, Sofie Goethals, Vicky De Winter, et al.. (2010). Increased Monomerization of Mutant HSPB1 Leads to Protein Hyperactivity in Charcot-Marie-Tooth Neuropathy. Journal of Biological Chemistry. 285(17). 12778–12786. 86 indexed citations
20.
Irobi, Joy, Leonardo Almeida‐Souza, Bob Asselbergh, et al.. (2010). Mutant HSPB8 causes motor neuron-specific neurite degeneration. Human Molecular Genetics. 19(16). 3254–3265. 68 indexed citations

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.

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