Nienke M. de Wit

23 total papers · 563 total citations
14 papers, 368 citations indexed

About

Nienke M. de Wit is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Nienke M. de Wit has authored 14 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Neurology and 7 papers in Physiology. Recurrent topics in Nienke M. de Wit's work include Alzheimer's disease research and treatments (6 papers), Sphingolipid Metabolism and Signaling (6 papers) and Drug Transport and Resistance Mechanisms (4 papers). Nienke M. de Wit is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Sphingolipid Metabolism and Signaling (6 papers) and Drug Transport and Resistance Mechanisms (4 papers). Nienke M. de Wit collaborates with scholars based in Netherlands, Belgium and United States. Nienke M. de Wit's co-authors include Helga E. de Vries, Ananya Chakraborty, Wiesje M. van der Flier, Sandra den Hoedt, Monique Mulder, Pilar Martínez‐Martínez, Annemieke J.M. Rozemüller, Jochen Walter, Gijs Kooij and Alwin Kamermans and has published in prestigious journals such as Advanced Drug Delivery Reviews, Frontiers in Immunology and Neurobiology of Disease.

In The Last Decade

Nienke M. de Wit

14 papers receiving 359 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nienke M. de Wit 198 158 122 39 28 14 368
Yongxin Sun 138 0.7× 162 1.0× 131 1.1× 24 0.6× 43 1.5× 13 371
Kenji Suzuki 154 0.8× 202 1.3× 71 0.6× 36 0.9× 37 1.3× 24 422
Tomonori Aikawa 190 1.0× 186 1.2× 111 0.9× 60 1.5× 23 0.8× 12 398
Yanfang Mao 154 0.8× 163 1.0× 105 0.9× 27 0.7× 15 0.5× 14 425
Emilie L. Castranio 186 0.9× 157 1.0× 114 0.9× 60 1.5× 24 0.9× 10 384
Anaïs Mounier 206 1.0× 134 0.8× 85 0.7× 35 0.9× 32 1.1× 10 404
Thorsten Pflanzner 135 0.7× 180 1.1× 113 0.9× 26 0.7× 35 1.3× 9 413
Renyuan Zhou 192 1.0× 62 0.4× 94 0.8× 23 0.6× 39 1.4× 16 442
Pablo Martínez 93 0.5× 121 0.8× 82 0.7× 32 0.8× 21 0.8× 23 381
Evangelina Ávila-Muñoz 159 0.8× 171 1.1× 133 1.1× 27 0.7× 64 2.3× 9 442

Countries citing papers authored by Nienke M. de Wit

Since Specialization
Citations

This map shows the geographic impact of Nienke M. 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 Nienke M. 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 Nienke M. de Wit more than expected).

Fields of papers citing papers by Nienke M. de Wit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nienke M. de Wit

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

All Works

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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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