Gabrielle R. Barsh

990 citations
5 papers · 661 indexed · 1 hit paper · h-index 4
Topics
Zebrafish Biomedical Research Applications (2 papers)Neurogenesis and neuroplasticity mechanisms (2 papers)Axon Guidance and Neuronal Signaling (2 papers)
Partner nations
United StatesJapan

In The Last Decade

Gabrielle R. Barsh

4 papers receiving 639 citations

Hit Papers

COVID-19 and Kawasaki Disease: Novel Virus and Novel Case20202026202220242020100200300400500

Peers

Gabrielle R. Barsh
Comparison fields: 5 of 79
  • Infectious Diseases 314
  • Surgery 271
  • Obstetrics and Gynecology 113
  • Molecular Biology 111
  • Neurology 99
Replace Maria Paola Bonasoni with:
Maria Paola Bonasoni Italy
Chen Hoffman Israel
Susan Tucker United States
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Robert L. Lesser United States
Kazuko Sato Japan
Elena Belyavskaya United States
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Aylın Yaman Türkiye
David A. Hiles United States
Gabrielle R. Barsh relative to Maria Paola Bonasoni Italy Maria Paola Bonasoni's profile →
Citations per field
00.5×5.2×
Maria Paola Bonasoni · 1×
Citations per year

Countries citing papers authored by Gabrielle R. Barsh

Since Specialization
Citations

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

Fields of papers citing papers by Gabrielle R. Barsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabrielle R. Barsh. 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 Gabrielle R. Barsh. The network helps show where Gabrielle R. Barsh may publish in the future.

Co-authorship network of co-authors of Gabrielle R. Barsh

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

All Works

About Gabrielle R. Barsh

Gabrielle R. Barsh is a scholar working on Developmental Neuroscience, Endocrine and Autonomic Systems and Sensory Systems, having authored 5 papers that have together received 661 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Infectious Diseases (314 citations), Obstetrics and Gynecology (113 citations) and Dermatology (75 citations). Gabrielle R. Barsh has collaborated with scholars based in United States and Japan. Frequent co-authors include Elizabeth Nguyen, Veena G Jones, Marcos Mills, Jacob Segal, Roshni Mathew, Shiraz A. Maskatia, Catherine A. Hogan, Adam J. Isabella, Cecilia B. Moens and Haitao Zhu. Their work appears in journals such as Nature Neuroscience, Current Biology and Developmental 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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