Daniel J. Liebl
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Developmental Neuroscience top 0.5%
- Physiology top 10%
- Neurology top 5%
- Co-authors
- Luis F. ParadaMark HenkemeyerJ. RicardJohn R. BetheaLino TessarolloMary Ellen PalkoMichelle H. TheusTzong‐Shiue Yu
- Topics
- Neurogenesis and neuroplasticity mechanisms (26 papers)Axon Guidance and Neuronal Signaling (25 papers)Nerve injury and regeneration (17 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- United StatesFranceRussia
In The Last Decade
Daniel J. Liebl
60 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 97
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 886
- Developmental Neuroscience 727
- Physiology 249
- Neurology 228
Countries citing papers authored by Daniel J. Liebl
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
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-authorship network of co-authors of Daniel J. Liebl
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Liebl. A scholar is included among the top collaborators of Daniel J. Liebl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Liebl. Daniel J. Liebl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 7 | |
| 3 | 12 | |
| 4 | 22 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 28 | |
| 8 | 25 | |
| 9 | 10 | |
| 10 | 30 | |
| 11 | 16 | |
| 12 | 154 | |
| 13 | 18 | |
| 14 | 138 | |
| 15 | 102 | |
| 16 | 57 | |
| 17 | 20 | |
| 18 | 23 | |
| 19 | 24 | |
| 20 | 7 |
About Daniel J. Liebl
Daniel J. Liebl is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 60 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (26 papers), Axon Guidance and Neuronal Signaling (25 papers) and Nerve injury and regeneration (17 papers). The work is most often cited by research in Developmental Neuroscience (727 citations), Cellular and Molecular Neuroscience (1.3k citations) and Neurology (228 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 Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.