Gabrielle R. Barsh

990 total citations · 1 hit paper
5 papers, 661 citations indexed

About

Gabrielle R. Barsh is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Cell Biology. According to data from OpenAlex, Gabrielle R. Barsh has authored 5 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 2 papers in Endocrine and Autonomic Systems and 2 papers in Cell Biology. Recurrent topics in Gabrielle R. Barsh's work include Zebrafish Biomedical Research Applications (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). Gabrielle R. Barsh is often cited by papers focused on Zebrafish Biomedical Research Applications (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). Gabrielle R. Barsh collaborates with scholars based in United States and Japan. Gabrielle R. Barsh's co-authors include Veena G Jones, Roshni Mathew, Elizabeth Nguyen, Catherine A. Hogan, Jacob Segal, Shiraz A. Maskatia, Marcos Mills, Cecilia B. Moens, Adam J. Isabella and Weizhe Hong and has published in prestigious journals such as Nature Neuroscience, Current Biology and Developmental Cell.

In The Last Decade

Gabrielle R. Barsh

4 papers receiving 639 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2020 527 citations Veena G Jones, Marcos Mills et al. Hospital Pediatrics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gabrielle R. Barsh United States	4	314	271	113	111	99	5	661
Maria Paola Bonasoni Italy	18	194 0.6×	181 0.7×	76 0.7×	319 2.9×	19 0.2×	109	1.7k
Susan Tucker United States	17	85 0.3×	136 0.5×	18 0.2×	107 1.0×	78 0.8×	37	827
Chen Hoffman Israel	17	128 0.4×	102 0.4×	15 0.1×	101 0.9×	49 0.5×	36	891
Sarah Hopkins United States	15	116 0.4×	169 0.6×	73 0.6×	144 1.3×	105 1.1×	43	824
Renu Suthar India	13	88 0.3×	97 0.4×	10 0.1×	103 0.9×	97 1.0×	115	553
Elena Belyavskaya United States	14	33 0.1×	141 0.5×	33 0.3×	106 1.0×	24 0.2×	41	676
Kazuko Sato Japan	14	52 0.2×	82 0.3×	39 0.3×	43 0.4×	154 1.6×	37	580
Robert L. Lesser United States	18	234 0.7×	209 0.8×	6 0.1×	196 1.8×	394 4.0×	49	1.1k
Aylın Yaman Türkiye	18	39 0.1×	126 0.5×	7 0.1×	179 1.6×	114 1.2×	106	1.1k
Paul G. Steinkuller United States	16	36 0.1×	109 0.4×	10 0.1×	93 0.8×	80 0.8×	40	1.4k

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

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Silverman, Andrew, et al.. (2022). Episodic Ataxic Gait in a Healthy Toddler: An Exemplary Case of Recurrent Vertigo of Childhood. The Journal of Pediatrics. 255. 257–258.

2.

Isabella, Adam J., et al.. (2020). Retinoic Acid Organizes the Zebrafish Vagus Motor Topographic Map via Spatiotemporal Coordination of Hgf/Met Signaling. Developmental Cell. 53(3). 344–357.e5. 22 indexed citations

3.

Jones, Veena G, Marcos Mills, Catherine A. Hogan, et al.. (2020). COVID-19 and Kawasaki Disease: Novel Virus and Novel Case. Hospital Pediatrics. 10(6). 537–540. 527 indexed citations breakdown →

4.

Barsh, Gabrielle R., Adam J. Isabella, & Cecilia B. Moens. (2017). Vagus Motor Neuron Topographic Map Determined by Parallel Mechanisms of hox5 Expression and Time of Axon Initiation. Current Biology. 27(24). 3812–3825.e3. 28 indexed citations

5.

Hong, Weizhe, Haitao Zhu, Christopher J. Potter, et al.. (2009). Leucine-rich repeat transmembrane proteins instruct discrete dendrite targeting in an olfactory map. Nature Neuroscience. 12(12). 1542–1550. 84 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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