Eric C. Liebl

714 total citations
12 papers, 610 citations indexed

About

Eric C. Liebl is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Eric C. Liebl has authored 12 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Eric C. Liebl's work include Protein Kinase Regulation and GTPase Signaling (3 papers), Axon Guidance and Neuronal Signaling (3 papers) and Invertebrate Immune Response Mechanisms (2 papers). Eric C. Liebl is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), Axon Guidance and Neuronal Signaling (3 papers) and Invertebrate Immune Response Mechanisms (2 papers). Eric C. Liebl collaborates with scholars based in United States. Eric C. Liebl's co-authors include Mark A. Seeger, David J. Forsthoefel, Allen R. Comer, F. Michael Hoffmann, Frank B. Gertler, Jyh‐Lyh Juang, Michael J. Clark, S Ahern, Peter A. Kolodziej and Jennifer Cowger and has published in prestigious journals such as Neuron, Genes & Development and PLoS ONE.

In The Last Decade

Eric C. Liebl

11 papers receiving 601 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eric C. Liebl United States 7 398 300 288 50 43 12 610
Hiroyuki Kabayama Japan 11 323 0.8× 115 0.4× 260 0.9× 22 0.4× 14 0.3× 14 503
Hirotada Fujita Japan 9 304 0.8× 126 0.4× 171 0.6× 8 0.2× 30 0.7× 10 436
Kensuke Shiomi Japan 10 743 1.9× 245 0.8× 388 1.3× 10 0.2× 30 0.7× 13 945
Shahla Verrall United States 8 335 0.8× 131 0.4× 71 0.2× 89 1.8× 16 0.4× 9 479
Sara Corbetta Italy 6 230 0.6× 136 0.5× 120 0.4× 10 0.2× 41 1.0× 7 349
Alexander Castellino United States 8 492 1.2× 290 1.0× 128 0.4× 11 0.2× 88 2.0× 10 706
Yoshimi Takai Japan 13 697 1.8× 215 0.7× 503 1.7× 24 0.5× 7 0.2× 16 879
Masanori Yabuki Japan 5 418 1.1× 433 1.4× 218 0.8× 6 0.1× 63 1.5× 6 635
Dan Lin Canada 6 865 2.2× 287 1.0× 579 2.0× 13 0.3× 83 1.9× 13 1.2k
J Niclas United States 8 497 1.2× 103 0.3× 571 2.0× 14 0.3× 35 0.8× 8 780

Countries citing papers authored by Eric C. Liebl

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eric C. Liebl

This figure shows the co-authorship network connecting the top 25 collaborators of Eric C. Liebl. A scholar is included among the top collaborators of Eric C. 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 Eric C. Liebl. Eric C. Liebl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Palozola, Katherine C., et al.. (2013). An Allele of Sequoia Dominantly Enhances a Trio Mutant Phenotype to Influence Drosophila Larval Behavior. PLoS ONE. 8(12). e84149–e84149. 1 indexed citations
3.
Forsthoefel, David J., Eric C. Liebl, Peter A. Kolodziej, & Mark A. Seeger. (2005). The Abelson tyrosine kinase, the Trio GEF and Enabled interact with the Netrin receptor Frazzled in Drosophila. Development. 132(8). 1983–1994. 98 indexed citations
4.
5.
6.
Liebl, Eric C.. (1998). Testing for Mutagens Using Fruit Flies. The American Biology Teacher. 60(6). 440–444.
7.
Comer, Allen R., Eric C. Liebl, & F. Michael Hoffmann. (1995). Can clues to the molecular defects in chronic myelogenous leukemia come from genetic studies on the Abelson tyrosine kinase in fruit flies?. PubMed. 125(6). 686–91. 3 indexed citations
8.
Gertler, Frank B., Allen R. Comer, Jyh‐Lyh Juang, et al.. (1995). enabled, a dosage-sensitive suppressor of mutations in the Drosophila Abl tyrosine kinase, encodes an Abl substrate with SH3 domain-binding properties.. Genes & Development. 9(5). 521–533. 224 indexed citations
9.
Liebl, Eric C., Laura England, & Greg S. Martin. (1993). Reactivation of Host-Dependent Src Kinase Activity by Co-expression with a Heterologous Tyrosine Kinase. Virology. 195(1). 265–267. 2 indexed citations
10.
Liebl, Eric C., Laura England, Jeffrey E. DeClue, & Greg S. Martin. (1992). Host range mutants of v-src: alterations in kinase activity and substrate interactions. Journal of Virology. 66(7). 4315–4324. 19 indexed citations
11.
Young, Judy, Eric C. Liebl, & Greg S. Martin. (1988). A host-dependent temperature-sensitive mutant of rous sarcoma virus: Evidence for host factors affecting transformation. Virology. 166(2). 561–572. 6 indexed citations
12.
Pai, Jin-Keon, et al.. (1987). 12-O-Tetradecanoylphorbol-13-acetate activates the synthesis of phosphatidylethanol in animal cells exposed to ethanol. Carcinogenesis. 8(1). 173–178. 46 indexed citations

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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