Eric C. Liebl
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Cellular transport and secretion
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- Axon Guidance and Neuronal Signaling
- Neurobiology and Insect Physiology Research
Papers in
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- Protein Kinase Regulation and GTPase Signaling 3
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- Axon Guidance and Neuronal Signaling 3
- Neurobiology and Insect Physiology Research 2
- Co-authors
- David J. Forsthoefel (3 shared papers)Mark A. Seeger (3 shared papers)F. Michael Hoffmann (2 shared papers)Allen R. Comer (2 shared papers)S Ahern (1 shared paper)Michael J. Clark (1 shared paper)Jyh‐Lyh Juang (1 shared paper)Frank B. Gertler (1 shared paper)
- Journals
- Development (2 papers)Virology (2 papers)PLoS ONE (2 papers)Genes & Development (1 paper)Carcinogenesis (1 paper)
- Partner nations
- United States
In The Last Decade
Eric C. Liebl
11 papers receiving 601 citations
Peers
Comparison fields: 5 of 56
- Cell Biology 288
- Cellular and Molecular Neuroscience 300
- Developmental Neuroscience 43
- Aging 18
- Molecular Biology 398
Countries citing papers authored by Eric C. Liebl
This map shows the geographic impact of Eric C. 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 Eric C. Liebl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric C. Liebl more than expected).
Fields of papers citing papers by Eric C. Liebl
This network shows the impact of papers produced by Eric C. 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 Eric C. Liebl. The network helps show where Eric C. Liebl may publish in the future.
Co-authors
The 22 scholars most cited alongside Eric C. Liebl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 224 | |
| 2 | 2000 | 172 | |
| 3 | 2005 | 98 | |
| 4 | 1987 | 46 | |
| 5 | 2003 | 36 | |
| 6 | 1992 | 19 | |
| 7 | 1988 | 6 | |
| 8 | 2017 | 3 | |
| 9 | Can clues to the molecular defects in chronic myelogenous leukemia come from genetic studies on the Abelson tyrosine kinase in fruit flies? | 1995 | 3 |
| 10 | 1993 | 2 | |
| 11 | 2013 | 1 | |
| 12 | 1998 | 0 |
About Eric C. Liebl
Eric C. Liebl is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Cell Biology and Animal Science and Zoology, having authored 12 papers that have together received 610 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Animal Virus Infections Studies (2 papers), Cellular Mechanics and Interactions (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Plant and animal studies (1 paper). The work is most often cited by research in Cell Biology (288 citations), Cellular and Molecular Neuroscience (300 citations), Developmental Neuroscience (43 citations), Aging (18 citations) and Molecular Biology (398 citations). Eric C. Liebl has collaborated with scholars based in United States. Frequent co-authors include David J. Forsthoefel, Mark A. Seeger, F. Michael Hoffmann, Allen R. Comer, S Ahern, Michael J. Clark, Jyh‐Lyh Juang, Frank B. Gertler, Peter A. Kolodziej and Jennifer Cowger. Their work appears in journals such as Development, Virology, PLoS ONE, Genes & Development and Carcinogenesis.
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.