David Lutz

987 citations
36 papers · 767 · h-index 19

Impact in

Papers in

David Lutz

36 papers receiving 759 citations

Peers

David Lutz
Comparison fields: 5 of 86
  • Developmental Neuroscience 231
  • Cellular and Molecular Neuroscience 372
  • Cell Biology 116
  • Neurology 57
  • Immunology and Allergy 40
Replace Hidemasa Kato with:
Hidemasa Kato Japan
Sarah D. Ackerman United States
Yukako Yokota United States
Sandrine Willaime‐Morawek United Kingdom
Bryan B. Gore United States
Filip A. Konopacki Poland
Amelia Stanco United States
Tomohiro Torii Japan
Dorte Kornerup Ditlevsen Denmark
Daniel R. Zollinger United States
David Lutz relative to Hidemasa Kato Japan Hidemasa Kato's profile →
Citations per field
00.5×3.6×
Hidemasa Kato · 1×
Citations per year

Countries citing papers authored by David Lutz

Since Specialization
Citations

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

Fields of papers citing papers by David Lutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199966
2 201256
3 201450
4 201544
5 201541
6 201335
7 201829
8 201629
9 201627
10 201726
11 201824
12 201324
13 201323
14 201623
15 201722
16 201721
17 199421
18 201019
19 202019
20 201818

About David Lutz

David Lutz is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Physiology and Pathology and Forensic Medicine, having authored 36 papers that have together received 767 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (18 papers), Nerve injury and regeneration (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Axon Guidance and Neuronal Signaling (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Spinal Cord Injury Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Developmental Neuroscience (231 citations), Cellular and Molecular Neuroscience (372 citations), Cell Biology (116 citations), Neurology (57 citations) and Immunology and Allergy (40 citations). David Lutz has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Melitta Schachner, Ralf Kleene, Gabriele Loers, Hardeep Kataria, Gerrit Wolters‐Eisfeld, Melitta Schachner, Michael Frotscher, Igor Jakovčevski, Harshita Chaudhary and Irina I. Stoyanova. Their work appears in journals such as Scientific Reports, Journal of Neurochemistry, Molecular Neurobiology, PLoS ONE and Frontiers in Cell and Developmental Biology.

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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