Nicola Thrupp

2.1k total citations · 2 hit papers
8 papers, 1.1k citations indexed

About

Nicola Thrupp is a scholar working on Molecular Biology, Neurology and Cancer Research. According to data from OpenAlex, Nicola Thrupp has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Neurology and 3 papers in Cancer Research. Recurrent topics in Nicola Thrupp's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Alzheimer's disease research and treatments (2 papers) and Nuclear Receptors and Signaling (2 papers). Nicola Thrupp is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Alzheimer's disease research and treatments (2 papers) and Nuclear Receptors and Signaling (2 papers). Nicola Thrupp collaborates with scholars based in Belgium, United Kingdom and United States. Nicola Thrupp's co-authors include Bart De Strooper, Mark Fiers, Renzo Mancuso, Nicola Fattorelli, Leen Wolfs, Carlo Sala Frigerio, Wei-Ting Chen, Eloïse Hudry, Maya E. Woodbury and Eric Karran and has published in prestigious journals such as Science, Scientific Reports and Cell Reports.

In The Last Decade

Nicola Thrupp

8 papers receiving 1.1k citations

Hit Papers

The Major Risk Factors for Alzheimer’s Disease: Age, Sex,... 2019 2026 2021 2023 2019 2023 100 200 300 400 500
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.

  1. The Major Risk Factors for Alzheimer’s Disease: Age, Sex, and Genes Modulate the Microglia Response to Aβ Plaques
    2019 539 citations Carlo Sala Frigerio, Leen Wolfs et al. Cell Reports profile →
  2. MEG3 activates necroptosis in human neuron xenografts modeling Alzheimer’s disease
    2023 128 citations Sriram Balusu, Katrien Horré et al. Science profile →

Peers

Nicola Thrupp
Leen Wolfs United Kingdom
Nicola Fattorelli Belgium
Seung-Hye Lee United States
Zhuyu Peng United States
Mickaël Audrain France
Iryna Voytyuk United Kingdom
Patrick C. G. Haddick United States
Kelly Ceyzériat Switzerland
Anne H. P. Jansen Netherlands
Kai Schlepckow Germany
Leen Wolfs United Kingdom
Nicola Thrupp
Citations per year, relative to Nicola Thrupp Nicola Thrupp (= 1×) peers Leen Wolfs

Countries citing papers authored by Nicola Thrupp

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Thrupp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Thrupp

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

All Works

8 of 8 papers shown
1.
Penning, Amber, et al.. (2024). NACC2, a molecular effector of miR-132 regulation at the interface between adult neurogenesis and Alzheimer’s disease. Scientific Reports. 14(1). 21163–21163. 3 indexed citations
2.
Balusu, Sriram, Katrien Horré, Nicola Thrupp, et al.. (2023). MEG3 activates necroptosis in human neuron xenografts modeling Alzheimer’s disease. Science. 381(6663). 1176–1182. 128 indexed citations breakdown →
3.
Walgrave, Hannah, Amber Penning, Kristofer Davie, et al.. (2023). microRNA-132 regulates gene expression programs involved in microglial homeostasis. iScience. 26(6). 106829–106829. 28 indexed citations
4.
Sierksma, Annerieke, Ashley Lu, Renzo Mancuso, et al.. (2020). Novel Alzheimer risk genes determine the microglia response to amyloid‐β but not to TAU pathology. EMBO Molecular Medicine. 12(3). e10606–e10606. 190 indexed citations
5.
Thrupp, Nicola, Carlo Sala Frigerio, Leen Wolfs, et al.. (2020). Single-Nucleus RNA-Seq Is Not Suitable for Detection of Microglial Activation Genes in Humans. Cell Reports. 32(13). 108189–108189. 177 indexed citations
6.
Frigerio, Carlo Sala, Leen Wolfs, Nicola Fattorelli, et al.. (2019). The Major Risk Factors for Alzheimer’s Disease: Age, Sex, and Genes Modulate the Microglia Response to Aβ Plaques. Cell Reports. 27(4). 1293–1306.e6. 539 indexed citations breakdown →
7.
Matsuura, A. Y., et al.. (2012). The ETSF : an e-infrastructure to bridge simulation and experiment. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 14. 22–32. 1 indexed citations
8.
Matsuura, A. Y., et al.. (2011). The ETSF: An e-Infrastructure That Bridges Simulations and Experiments. Computing in Science & Engineering. 14(1). 22–32. 22 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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