Nanda Keijzer

2.6k citations
26 papers · 1.9k · h-index 16

Impact in

Papers in

    • RNA Research and Splicing 3
    • Ubiquitin and proteasome pathways 3
    • Nuclear Structure and Function 2
    • Microtubule and mitosis dynamics 13
    • Cellular transport and secretion 6

Nanda Keijzer

25 papers receiving 1.9k citations

Peers

Nanda Keijzer
Comparison fields: 5 of 104
  • Cell Biology 1.1k
  • Developmental Neuroscience 104
  • Aging 38
  • Cellular and Molecular Neuroscience 357
  • Molecular Biology 1.2k
Replace Reiko Takemura with:
Reiko Takemura Japan
Cecı́lia Conde Argentina
Phebe S. Wulf Netherlands
Jen-Zen Chuang United States
Bettina Winckler United States
Leticia Peris France
Thomas M. Durcan Canada
Yasmina Saoudi France
Cristiana Mollinari Italy
Jun Noritake Japan
Nanda Keijzer relative to Reiko Takemura Japan Reiko Takemura's profile →
Citations per field
00.5×4.7×
Reiko Takemura · 1×
Citations per year

Countries citing papers authored by Nanda Keijzer

Since Specialization
Citations

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

Fields of papers citing papers by Nanda Keijzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nanda Keijzer, 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 Nanda Keijzer Line = papers co-authored together Nanda Keijzer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013323
2 2007283
3 2010249
4 2012181
5 2010127
6 2010124
7 2005103
8 2011100
9 201197
10 201677
11 201353
12 201952
13 200945
14 201437
15 202021
16 201921
17 202215
18 20229
19 20247
20 20115

About Nanda Keijzer

Nanda Keijzer is a scholar working on Molecular Biology, Cell Biology, Surgery, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (13 papers), Cellular transport and secretion (6 papers), RNA Research and Splicing (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Ubiquitin and proteasome pathways (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Nuclear Structure and Function (2 papers). The work is most often cited by research in Cell Biology (1.1k citations), Developmental Neuroscience (104 citations), Aging (38 citations), Cellular and Molecular Neuroscience (357 citations) and Molecular Biology (1.2k citations). Nanda Keijzer has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Casper C. Hoogenraad, Anna Akhmanova, Phebe S. Wulf, Jeroen Demmers, Lukas C. Kapitein, Max A. Schlager, Ilya Grigoriev, Dick Jaarsma, Frank Grosveld and Joanna Lipka. Their work appears in journals such as Journal of Lipid Research, Current Biology, Journal of Neuroscience, Nature Communications and GeroScience.

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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