Eva Laurell

2.2k citations
16 papers · 1.3k · h-index 13

Impact in

    • Zebrafish Biomedical Research Applications
    • Microtubule and mitosis dynamics
  • Biophysics top 5%

Papers in

    • Retinal Development and Disorders 8
    • Single-cell and spatial transcriptomics 3
    • RNA Research and Splicing 3
    • Nuclear Structure and Function 3
    • Zebrafish Biomedical Research Applications 8

Eva Laurell

15 papers receiving 1.3k citations

Peers

Eva Laurell
Comparison fields: 5 of 90
  • Cell Biology 639
  • Biophysics 95
  • Cellular and Molecular Neuroscience 280
  • Cognitive Neuroscience 264
  • Molecular Biology 903
Replace Fumi Kubo with:
Fumi Kubo Japan
Owen Randlett United States
Dominique Förster Germany
Wilko D. Altrock Germany
David A. Keays Austria
Radhakrishnan Narayanan United States
Gilbert L. Henry United States
Nicolas Plachta Singapore
Georgi Tushev Germany
Peixin Zhu Switzerland
Eva Laurell relative to Fumi Kubo Japan Fumi Kubo's profile →
Citations per field
00.5×1.5×2.2×
Fumi Kubo · 1×
Citations per year

Countries citing papers authored by Eva Laurell

Since Specialization
Citations

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

Fields of papers citing papers by Eva Laurell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2009369
2 2011195
3 2019149
4 2014135
5 2014125
6 202063
7 201750
8 202249
9 201746
10 202036
11 202334
12 201133
13 202021
14 202510
15 20186
16 20250

About Eva Laurell

Eva Laurell is a scholar working on Molecular Biology, Cell Biology, Cognitive Neuroscience, Biophysics and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (8 papers), Retinal Development and Disorders (8 papers), Neural dynamics and brain function (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Single-cell and spatial transcriptomics (3 papers), RNA Research and Splicing (3 papers), Photoreceptor and optogenetics research (3 papers) and Nuclear Structure and Function (3 papers). The work is most often cited by research in Cell Biology (639 citations), Biophysics (95 citations), Cellular and Molecular Neuroscience (280 citations), Cognitive Neuroscience (264 citations) and Molecular Biology (903 citations). Eva Laurell has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Ulrike Kutay, Stephan Güttinger, Herwig Baier, Estuardo Robles, Dominique Förster, Marco Dal Maschio, António M. Fernandes, Joseph C. Donovan, Tod R. Thiele and Fumi Kubo. Their work appears in journals such as Current Biology, Neuron, Nature Methods, Molecular Biology of the Cell and Scientific Reports.

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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