Joris de Wit

6.4k citations
65 papers · 4.5k · h-index 35

Impact in

Papers in

Joris de Wit

63 papers receiving 4.5k citations

Peers

Joris de Wit
Comparison fields: 5 of 134
  • Developmental Neuroscience 563
  • Cellular and Molecular Neuroscience 2.4k
  • Biological Psychiatry 148
  • Neurology 454
  • Cell Biology 896
Replace Michael R. Kreutz with:
Michael R. Kreutz Germany
Ozlem Bozdagi United States
Andrés Buonanno United States
Alaa El-Husseini Canada
Maria Passafaro Italy
Manabu Abe Japan
Moritz J. Rossner Germany
Matthew B. Dalva United States
Dane M. Chetkovich United States
Farrukh A. Chaudhry Norway
Joris de Wit relative to Michael R. Kreutz Germany Michael R. Kreutz's profile →
Citations per field
00.5×1.5×2.2×
Michael R. Kreutz · 1×
Citations per year

Countries citing papers authored by Joris de Wit

Since Specialization
Citations

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

Fields of papers citing papers by Joris de Wit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joris de Wit. 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 Joris de Wit. The network helps show where Joris de Wit may publish in the future.

Co-authors

The 25 scholars most cited alongside Joris de Wit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joris de Wit Line = papers co-authored together Joris de Wit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003368
2 2015342
3 2017309
4 2009307
5 1999275
6 2019221
7 2015209
8 2012204
9 2005183
10 2018167
11 2010141
12 2013126
13 2005123
14 2011115
15 201886
16 201586
17 201473
18 200666
19 201565
20 201761

About Joris de Wit

Joris de Wit is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Physiology and Neurology, having authored 65 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (28 papers), Cellular transport and secretion (22 papers), Axon Guidance and Neuronal Signaling (14 papers), Alzheimer's disease research and treatments (10 papers), Lipid Membrane Structure and Behavior (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Biotin and Related Studies (4 papers). The work is most often cited by research in Developmental Neuroscience (563 citations), Cellular and Molecular Neuroscience (2.4k citations), Biological Psychiatry (148 citations), Neurology (454 citations) and Cell Biology (896 citations). Joris de Wit has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Anirvan Ghosh, Joost Verhaagen, Jeffrey N. Savas, John R. Yates, Giuseppe Condomitti, Matthew L. O’Sullivan, Davide Comoletti, Bart De Strooper, Keimpe Wierda and Fred de Winter. Their work appears in journals such as Neuron, Nature Communications, Alzheimer s & Dementia, Current Opinion in Neurobiology and Molecular and Cellular Neuroscience.

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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