Lisa V. Goodrich

10.9k total citations · 4 hit papers
63 papers, 8.3k citations indexed

About

Lisa V. Goodrich is a scholar working on Molecular Biology, Sensory Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lisa V. Goodrich has authored 63 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 20 papers in Sensory Systems and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lisa V. Goodrich's work include Hearing, Cochlea, Tinnitus, Genetics (20 papers), Developmental Biology and Gene Regulation (15 papers) and Axon Guidance and Neuronal Signaling (10 papers). Lisa V. Goodrich is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (20 papers), Developmental Biology and Gene Regulation (15 papers) and Axon Guidance and Neuronal Signaling (10 papers). Lisa V. Goodrich collaborates with scholars based in United States, United Kingdom and Canada. Lisa V. Goodrich's co-authors include Matthew P. Scott, Ljiljana Milenković, Ronald L. Johnson, Kay M. Higgins, David Strutt, Jill A. McMahon, Jingwu Xie, Jeannette M. Bonifas, Ervin H. Epstein and John W. Bare and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Lisa V. Goodrich

61 papers receiving 8.1k citations

Hit Papers

Human Homolog of patched... 1996 2026 2006 2016 1996 1997 1996 2018 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa V. Goodrich United States 35 6.3k 1.8k 1.1k 1.1k 993 63 8.3k
Douglas J. Epstein United States 33 5.9k 0.9× 1.6k 0.9× 533 0.5× 553 0.5× 650 0.7× 58 6.9k
Larysa Pevny United States 39 8.6k 1.4× 2.2k 1.2× 576 0.5× 1.3k 1.2× 1.1k 1.1× 60 11.9k
Thomas Gridley United States 68 12.8k 2.0× 2.6k 1.4× 1.0k 0.9× 1.1k 1.0× 1.9k 1.9× 146 17.7k
Paul Coucke Belgium 49 3.3k 0.5× 3.7k 2.1× 1.4k 1.3× 536 0.5× 1.1k 1.1× 261 8.0k
Lin Gan United States 52 6.7k 1.0× 1.1k 0.6× 907 0.8× 1.5k 1.4× 1.0k 1.0× 187 9.6k
Jean M. Hébert United States 34 3.8k 0.6× 1.1k 0.6× 376 0.3× 1.0k 1.0× 598 0.6× 83 5.5k
Linda Madisen United States 27 4.1k 0.6× 905 0.5× 564 0.5× 2.5k 2.3× 593 0.6× 40 8.7k
Robert N. Kelsh United Kingdom 53 8.0k 1.3× 1.9k 1.0× 469 0.4× 1.3k 1.2× 5.6k 5.7× 115 11.8k
William Reardon United Kingdom 53 6.5k 1.0× 5.2k 2.9× 1.8k 1.7× 1.5k 1.4× 598 0.6× 195 11.9k
Shinji Takada Japan 56 11.1k 1.8× 2.4k 1.3× 226 0.2× 1.1k 1.0× 2.1k 2.1× 135 13.0k

Countries citing papers authored by Lisa V. Goodrich

Since Specialization
Citations

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

Fields of papers citing papers by Lisa V. Goodrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa V. Goodrich. 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 Lisa V. Goodrich. The network helps show where Lisa V. Goodrich may publish in the future.

Co-authorship network of co-authors of Lisa V. Goodrich

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

All Works

20 of 20 papers shown
1.
Sitko, Austen A., et al.. (2025). Lateral olivocochlear neurons modulate cochlear responses to noise exposure. Proceedings of the National Academy of Sciences. 122(4). e2404558122–e2404558122.
2.
Wang, Sean K., et al.. (2025). ERG responses to high-frequency flickers require FAT3 signaling in mouse retinal bipolar cells. The Journal of General Physiology. 157(2). 2 indexed citations
3.
Huey, Erica L., Josef Turecek, Michelle M. DeLisle, et al.. (2024). The auditory midbrain mediates tactile vibration sensing. Cell. 188(1). 104–120.e18. 5 indexed citations
4.
5.
Krol, Alexandra, et al.. (2022). Fat3 acts through independent cytoskeletal effectors to coordinate asymmetric cell behaviors during polarized circuit assembly. Cell Reports. 38(5). 110307–110307. 10 indexed citations
6.
Rood, Benjamin D., et al.. (2020). Sex-Specific Role for Dopamine Receptor D2 in Dorsal Raphe Serotonergic Neuron Modulation of Defensive Acoustic Startle and Dominance Behavior. eNeuro. 7(6). ENEURO.0202–20.2020. 10 indexed citations
7.
Hale, E.B., et al.. (2020). Neuronal processes and glial precursors form a scaffold for wiring the developing mouse cochlea. Nature Communications. 11(1). 5866–5866. 17 indexed citations
8.
Prendergast, James, Aara Patel, Sunit Dutta, et al.. (2019). Detailed analysis of chick optic fissure closure reveals Netrin-1 as an essential mediator of epithelial fusion. eLife. 8. 32 indexed citations
9.
Banerjee, Ronadip R., Holly A. Cyphert, Emily M. Walker, et al.. (2016). Gestational Diabetes Mellitus From Inactivation of Prolactin Receptor and MafB in Islet β-Cells. Diabetes. 65(8). 2331–2341. 107 indexed citations
10.
Junge, Harald J., Andrea R. Yung, Lisa V. Goodrich, & Zhe Chen. (2016). Netrin1/DCC signaling promotes neuronal migration in the dorsal spinal cord. Neural Development. 11(1). 19–19. 16 indexed citations
11.
Druckenbrod, Noah R. & Lisa V. Goodrich. (2015). Sequential Retraction Segregates SGN Processes during Target Selection in the Cochlea. Journal of Neuroscience. 35(49). 16221–16235. 29 indexed citations
12.
Goodrich, Lisa V., et al.. (2014). Morphological and physiological development of auditory synapses. Hearing Research. 311. 3–16. 63 indexed citations
13.
Rio, Tony del, et al.. (2013). In Vivo Analysis of Lrig Genes Reveals Redundant and Independent Functions in the Inner Ear. PLoS Genetics. 9(9). e1003824–e1003824. 22 indexed citations
14.
Deans, Michael R., et al.. (2011). Control of Neuronal Morphology by the Atypical Cadherin Fat3. Neuron. 71(5). 820–832. 80 indexed citations
15.
Kim, Euiseok J., et al.. (2010). Spatiotemporal fate map of neurogenin1 (Neurog1) lineages in the mouse central nervous system. The Journal of Comparative Neurology. 519(7). 1355–1370. 52 indexed citations
16.
Raft, Steven, Edmund J. Koundakjian, Chathurani S. Jayasena, et al.. (2007). Cross-regulation ofNgn1andMath1coordinates the production of neurons and sensory hair cells during inner ear development. Development. 134(24). 4405–4415. 165 indexed citations
17.
Koundakjian, Edmund J., et al.. (2007). Auditory Neurons Make Stereotyped Wiring Decisions before Maturation of Their Targets. Journal of Neuroscience. 27(51). 14078–14088. 150 indexed citations
18.
Goodrich, Lisa V.. (2005). Hear, Hear for the Zebrafish. Neuron. 45(1). 3–5. 9 indexed citations
19.
Leighton, Philip A., Kevin J. Mitchell, Lisa V. Goodrich, et al.. (2001). Defining brain wiring patterns and mechanisms through gene trapping in mice. Nature. 410(6825). 174–179. 338 indexed citations
20.
Goodrich, Lisa V. & Matthew P. Scott. (1998). Hedgehog and Patched in Neural Development and Disease. Neuron. 21(6). 1243–1257. 205 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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