Daniel J. Liebl

3.2k citations
61 papers · 2.4k · h-index 27

Impact in

Papers in

Daniel J. Liebl

61 papers receiving 2.4k citations

Peers

Daniel J. Liebl
Comparison fields: 5 of 95
  • Developmental Neuroscience 714
  • Cellular and Molecular Neuroscience 1.3k
  • Neurology 216
  • Sensory Systems 105
  • Biological Psychiatry 45
Replace Reiji Semba with:
Reiji Semba Japan
Domenico Del Turco Germany
Peter Bannerman United States
Eugene P. Brandon United States
Shernaz X. Bamji Canada
Alfred Bach Germany
Anna Logvinova United States
Elke Persohn Switzerland
Gordon W. Glazner United States
Rolf Knoth Germany
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Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Liebl

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Liebl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Liebl. 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 Daniel J. Liebl. The network helps show where Daniel J. Liebl may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997188
2 2007156
3 2008152
4 2002139
5 2010132
6 2001104
7 2017101
8 199984
9 200681
10 200681
11 200879
12 201064
13 201060
14 200460
15 200057
16 199957
17 200253
18 200651
19 201851
20 201437

About Daniel J. Liebl

Daniel J. Liebl is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Physiology and Neurology, having authored 61 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (25 papers), Axon Guidance and Neuronal Signaling (25 papers), Nerve injury and regeneration (17 papers), Neuroscience and Neuropharmacology Research (8 papers), Amino Acid Enzymes and Metabolism (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Spinal Cord Injury Research (5 papers) and Biochemical effects in animals (4 papers). The work is most often cited by research in Developmental Neuroscience (714 citations), Cellular and Molecular Neuroscience (1.3k citations), Neurology (216 citations), Sensory Systems (105 citations) and Biological Psychiatry (45 citations). Daniel J. Liebl has collaborated with scholars based in United States, France and Russia. Frequent co-authors include Luis F. Parada, Mark Henkemeyer, J. Ricard, John R. Bethea, Lino Tessarollo, Mary Ellen Palko, Michelle H. Theus, Tzong‐Shiue Yu, Steven G. Kernie and Peter H. Koo. Their work appears in journals such as Journal of Neuroscience, Proceedings of the National Academy of Sciences, Experimental Neurology, Cell Death and Disease and Glia.

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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