E. A. Lachica

13 total papers · 844 total citations
13 papers, 667 citations indexed

About

E. A. Lachica is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, E. A. Lachica has authored 13 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 5 papers in Cognitive Neuroscience. Recurrent topics in E. A. Lachica's work include Neuroscience and Neuropharmacology Research (7 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers) and Retinal Development and Disorders (5 papers). E. A. Lachica is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers) and Retinal Development and Disorders (5 papers). E. A. Lachica collaborates with scholars based in United States. E. A. Lachica's co-authors include V.A. Casagrande, Pamela D. Beck, Lance Zirpel, Rudolf Rübsamen, Edwin W. Rubel, EW Rubel, William R. Lippe, V. A. Casagrande and Brian Kato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Comparative Neurology.

In The Last Decade

E. A. Lachica

13 papers receiving 660 citations

Author Peers

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

Author Last Decade Papers Cites
E. A. Lachica 374 357 230 223 74 13 667
S. Zhang 296 0.8× 228 0.6× 120 0.5× 394 1.8× 51 0.7× 14 603
Konomi Koyano 234 0.6× 386 1.1× 241 1.0× 246 1.1× 37 0.5× 17 639
Andreas Aschoff 287 0.8× 222 0.6× 96 0.4× 292 1.3× 41 0.6× 11 607
Rei Yamada 213 0.6× 277 0.8× 155 0.7× 202 0.9× 20 0.3× 18 555
Rose Je 362 1.0× 198 0.6× 91 0.4× 308 1.4× 63 0.9× 10 667
Charles L. Ginsburgh 231 0.6× 184 0.5× 249 1.1× 169 0.8× 72 1.0× 8 691
Allan Shnerson 237 0.6× 133 0.4× 133 0.6× 552 2.5× 125 1.7× 11 704
Armin H. Seidl 296 0.8× 219 0.6× 74 0.3× 324 1.5× 24 0.3× 17 603
Karin J. Wallace 317 0.8× 280 0.8× 72 0.3× 217 1.0× 45 0.6× 11 733
Elisabeth Foeller 262 0.7× 311 0.9× 88 0.4× 211 0.9× 51 0.7× 14 655

Countries citing papers authored by E. A. Lachica

Since Specialization
Citations

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

Fields of papers citing papers by E. A. Lachica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. A. Lachica. 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 E. A. Lachica. The network helps show where E. A. Lachica may publish in the future.

Co-authorship network of co-authors of E. A. Lachica

This figure shows the co-authorship network connecting the top 25 collaborators of E. A. Lachica. A scholar is included among the top collaborators of E. A. Lachica 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 E. A. Lachica. E. A. Lachica 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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