Lisa V. Goodrich

10.9k citations
63 papers · 8.3k indexed · 4 hit papers · h-index 35
Topics
Hearing, Cochlea, Tinnitus, Genetics (20 papers)Developmental Biology and Gene Regulation (15 papers)Axon Guidance and Neuronal Signaling (10 papers)

In The Last Decade

Lisa V. Goodrich

61 papers receiving 8.1k citations

Hit Papers

Human Homolog of patched, a Candidate Gene for the Basal ...199620262006201619961997199620184008001.2k

Peers

Lisa V. Goodrich
Comparison fields: 5 of 139
  • Molecular Biology 6.3k
  • Genetics 1.8k
  • Sensory Systems 1.1k
  • Cellular and Molecular Neuroscience 1.1k
  • Cell Biology 993
Replace Thomas Gridley with:
Thomas Gridley United States
Douglas J. Epstein United States
Shinji Takada Japan
William Reardon United Kingdom
Matthias Hammerschmidt Germany
Paul Coucke Belgium
Hisato Kondoh Japan
Larysa Pevny United States
Alessandro Bulfone Italy
Kathryn S.E. Cheah Hong Kong
Lisa V. Goodrich relative to Thomas Gridley United States Thomas Gridley's profile →
Citations per field
00.5×1.5×
Thomas Gridley · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 14
3 18
4 10
5 10
6 32
7 14
8 16
9 29
10 63
11 99
12 80
13 112
14 21
15 150
16 9
17 338
18 62
19 205
20
Conservation of the hedgehog/patched signaling pathway from flies to mice: induction of a mouse patched gene by Hedgehog.breakdown →
704

About Lisa V. Goodrich

Lisa V. Goodrich is a scholar working on Sensory Systems, Developmental Neuroscience and Developmental Biology, having authored 63 papers that have together received 8.3k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (20 papers), Developmental Biology and Gene Regulation (15 papers) and Axon Guidance and Neuronal Signaling (10 papers). The work is most often cited by research in Sensory Systems (1.1k citations), Developmental Neuroscience (567 citations) and Developmental Biology (224 citations). Lisa V. Goodrich has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Matthew P. Scott, Ljiljana Milenković, Ronald L. Johnson, Kay M. Higgins, David Strutt, Jill A. McMahon, David R. Cox, Jingwu Xie, John W. Bare and Ervin H. Epstein. Their work appears in journals such as Nature, Science and Cell.

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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