Frank J. Lebeda

70 total papers · 1.9k total citations
49 papers, 1.6k citations indexed

About

Frank J. Lebeda is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Frank J. Lebeda has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 20 papers in Cellular and Molecular Neuroscience and 18 papers in Neurology. Recurrent topics in Frank J. Lebeda's work include Botulinum Toxin and Related Neurological Disorders (18 papers), Neurological disorders and treatments (9 papers) and Neuroscience and Neural Engineering (8 papers). Frank J. Lebeda is often cited by papers focused on Botulinum Toxin and Related Neurological Disorders (18 papers), Neurological disorders and treatments (9 papers) and Neuroscience and Neural Engineering (8 papers). Frank J. Lebeda collaborates with scholars based in United States. Frank J. Lebeda's co-authors include Paul Rutecki, Daniel Johnston, Uma Mudunuri, Regina Z. Cer, Dean Johnston, R. Scott Stephens, Mark A. Olson, Michael Adler, John J. Hablitz and Edson X. Albuquerque and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of Molecular Biology.

In The Last Decade

Frank J. Lebeda

48 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Frank J. Lebeda 747 741 307 228 166 49 1.6k
Jeffery A. Williams 389 0.5× 572 0.8× 294 1.0× 211 0.9× 351 2.1× 40 2.2k
Eliezer Giladi 912 1.2× 980 1.3× 133 0.4× 136 0.6× 142 0.9× 44 2.2k
Andrew S. Fix 550 0.7× 624 0.8× 118 0.4× 127 0.6× 52 0.3× 40 1.8k
Teja W. Groemer 608 0.8× 892 1.2× 272 0.9× 106 0.5× 103 0.6× 45 1.7k
Jun Zhu 664 0.9× 1.2k 1.6× 68 0.2× 134 0.6× 78 0.5× 83 2.3k
Caterina Vicidomini 186 0.2× 443 0.6× 393 1.3× 87 0.4× 71 0.4× 46 1.3k
R. W. P. Cutler 1.1k 1.4× 655 0.9× 508 1.7× 72 0.3× 130 0.8× 79 2.1k
Thomas Weiser 476 0.6× 1.1k 1.5× 97 0.3× 46 0.2× 81 0.5× 76 2.3k
Fredrik Pettersson 171 0.2× 757 1.0× 115 0.4× 69 0.3× 90 0.5× 42 2.1k
E. Ellen Billett 293 0.4× 618 0.8× 247 0.8× 62 0.3× 34 0.2× 65 1.8k

Countries citing papers authored by Frank J. Lebeda

Since Specialization
Citations

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

Fields of papers citing papers by Frank J. Lebeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank J. Lebeda

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

All Works

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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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