David Lutz

939 citations
34 papers · 734 · h-index 19

Impact in

Papers in

David Lutz

34 papers receiving 727 citations

Peers

David Lutz
Comparison fields: 5 of 82
  • Developmental Neuroscience 205
  • Cellular and Molecular Neuroscience 329
  • Cell Biology 107
  • Immunology and Allergy 35
  • Neurology 46
Replace Sandrine Willaime‐Morawek with:
Sandrine Willaime‐Morawek United Kingdom
Jin-Chong Xu United States
Filip A. Konopacki Poland
Janice W. S. Law Singapore
Annette Markus Germany
Daniel R. Zollinger United States
Sarah D. Ackerman United States
Dorte Kornerup Ditlevsen Denmark
Yaohong Wu United States
Bryan B. Gore United States
David Lutz relative to Sandrine Willaime‐Morawek United Kingdom Sandrine Willaime‐Morawek's profile →
Citations per field
00.5×3.5×
Sandrine Willaime‐Morawek · 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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199966
2 201256
3 201451
4 201544
5 201541
6 201335
7 201829
8 201629
9 201627
10 201727
11 201324
12 201324
13 201623
14 201722
15 199421
16 202019
17 201019
18 201718
19 201818
20 202017

About David Lutz

David Lutz is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Pathology and Forensic Medicine and Cognitive Neuroscience, having authored 34 papers that have together received 734 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (17 papers), Nerve injury and regeneration (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Axon Guidance and Neuronal Signaling (5 papers), Spinal Cord Injury Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cellular transport and secretion (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (205 citations), Cellular and Molecular Neuroscience (329 citations), Cell Biology (107 citations), Immunology and Allergy (35 citations) and Neurology (46 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, Michael Frotscher, Irina I. Stoyanova, Melitta Schachner, Igor Jakovčevski and Harshita Chaudhary. Their work appears in journals such as Scientific Reports, Journal of Neurochemistry, Molecular Neurobiology, PLoS ONE and The FASEB Journal.

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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