Sofie Voet

1.8k total citations · 1 hit paper
7 papers, 1.2k citations indexed

About

Sofie Voet is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Sofie Voet has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Cancer Research. Recurrent topics in Sofie Voet's work include Immune Response and Inflammation (3 papers), interferon and immune responses (2 papers) and NF-κB Signaling Pathways (2 papers). Sofie Voet is often cited by papers focused on Immune Response and Inflammation (3 papers), interferon and immune responses (2 papers) and NF-κB Signaling Pathways (2 papers). Sofie Voet collaborates with scholars based in Belgium, Germany and United States. Sofie Voet's co-authors include Geert Loo, Mohamed Lamkanfi, Sahana Srinivasan, Marco Prinz, Esther Hoste, Reinhart Speeckaert, Nanja van Geel, Rudi Beyaert, Jens Staal and Daniel Nagel and has published in prestigious journals such as Nature Communications, Nature Immunology and Journal of Investigative Dermatology.

In The Last Decade

Sofie Voet

7 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Inflammasomes in neuroinflammatory and neurodegenerative diseases

2019 574 citations Sofie Voet, Sahana Srinivasan et al. EMBO Molecular Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sofie Voet Belgium	7	593	417	348	172	116	7	1.2k
Pardes Habib Germany	18	454 0.8×	356 0.9×	215 0.6×	110 0.6×	71 0.6×	48	1.0k
Ajaib S. Paintlia United States	21	510 0.9×	262 0.6×	327 0.9×	195 1.1×	67 0.6×	29	1.3k
Zhaoqi Yan United States	16	479 0.8×	389 0.9×	357 1.0×	207 1.2×	62 0.5×	47	1.3k
Leonardo Márquez‐Kisinousky Spain	11	315 0.5×	590 1.4×	466 1.3×	145 0.8×	74 0.6×	12	1.1k
Zhi Ma China	24	690 1.2×	293 0.7×	226 0.6×	130 0.8×	34 0.3×	43	1.4k
Xuefang Ren United States	19	435 0.7×	755 1.8×	332 1.0×	163 0.9×	60 0.5×	40	1.4k
Won‐Ha Lee South Korea	13	321 0.5×	360 0.9×	172 0.5×	148 0.9×	125 1.1×	17	1.0k
Holly Dykstra United States	17	516 0.9×	429 1.0×	134 0.4×	169 1.0×	116 1.0×	24	1.4k
Rachid Kacimi United States	19	420 0.7×	463 1.1×	334 1.0×	194 1.1×	39 0.3×	23	1.4k
Leonardo Cavone Italy	22	580 1.0×	189 0.5×	186 0.5×	163 0.9×	90 0.8×	31	1.3k

Countries citing papers authored by Sofie Voet

Since Specialization

Citations

This map shows the geographic impact of Sofie Voet'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 Voet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofie Voet more than expected).

Fields of papers citing papers by Sofie Voet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofie Voet. 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 Voet. The network helps show where Sofie Voet may publish in the future.

Co-authorship network of co-authors of Sofie Voet

This figure shows the co-authorship network connecting the top 25 collaborators of Sofie Voet. A scholar is included among the top collaborators of Sofie Voet 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 Voet. Sofie Voet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Martens, Arne, Dario Priem, Esther Hoste, et al.. (2020). Two distinct ubiquitin-binding motifs in A20 mediate its anti-inflammatory and cell-protective activities. Nature Immunology. 21(4). 381–387. 51 indexed citations

2.

Martens, Arne, Dario Priem, Esther Hoste, et al.. (2020). OTULIN Prevents Liver Inflammation and Hepatocellular Carcinoma by Inhibiting FADD- and RIPK1 Kinase-Mediated Hepatocyte Apoptosis. Cell Reports. 30(7). 2237–2247.e6. 42 indexed citations

3.

Voet, Sofie, Sahana Srinivasan, Mohamed Lamkanfi, & Geert Loo. (2019). Inflammasomes in neuroinflammatory and neurodegenerative diseases. EMBO Molecular Medicine. 11(6). 574 indexed citations breakdown →

4.

Voet, Sofie, Marco Prinz, & Geert Loo. (2018). Microglia in Central Nervous System Inflammation and Multiple Sclerosis Pathology. Trends in Molecular Medicine. 25(2). 112–123. 374 indexed citations

5.

Speeckaert, Reinhart, Sofie Voet, Esther Hoste, & Nanja van Geel. (2017). S100B Is a Potential Disease Activity Marker in Nonsegmental Vitiligo. Journal of Investigative Dermatology. 137(7). 1445–1453. 37 indexed citations

6.

Thoonen, Robrecht, Anje Cauwels, Kelly Decaluwé, et al.. (2015). Cardiovascular and pharmacological implications of haem-deficient NO-unresponsive soluble guanylate cyclase knock-in mice. Nature Communications. 6(1). 8482–8482. 60 indexed citations

7.

Guire, Conor Mc, Peter Wieghofer, Jens Staal, et al.. (2014). Pharmacological inhibition of MALT1 protease activity protects mice in a mouse model of multiple sclerosis. Journal of Neuroinflammation. 11(1). 124–124. 61 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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