Jay B. Bikoff

2.5k total citations
22 papers, 1.8k citations indexed

About

Jay B. Bikoff is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Jay B. Bikoff has authored 22 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cell Biology, 12 papers in Cellular and Molecular Neuroscience and 11 papers in Molecular Biology. Recurrent topics in Jay B. Bikoff's work include Zebrafish Biomedical Research Applications (11 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Neuroscience and Neuropharmacology Research (4 papers). Jay B. Bikoff is often cited by papers focused on Zebrafish Biomedical Research Applications (11 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Neuroscience and Neuropharmacology Research (4 papers). Jay B. Bikoff collaborates with scholars based in United States, Canada and Sweden. Jay B. Bikoff's co-authors include Michael E. Greenberg, Kimberley F. Tolias, Linda Hu, Hsin‐Yi Henry Ho, Mustafa Şahin, Thomas M. Jessell, Suzanne Paradis, Sohail F. Tavazoie, Dana Harrar and A Burette and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Jay B. Bikoff

22 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay B. Bikoff United States	14	975	909	567	410	228	22	1.8k
Tracy S. Tran United States	20	838 0.9×	1.2k 1.3×	482 0.9×	563 1.4×	166 0.7×	44	1.9k
Dario Bonanomi Italy	21	1.7k 1.7×	990 1.1×	559 1.0×	320 0.8×	260 1.1×	33	2.6k
Yongcheol Cho South Korea	18	1.1k 1.1×	890 1.0×	249 0.4×	395 1.0×	343 1.5×	34	1.8k
Robert Hindges United Kingdom	24	1.4k 1.4×	1.1k 1.2×	598 1.1×	361 0.9×	182 0.8×	37	2.2k
Sebastian Poliak United States	14	1.1k 1.2×	1.3k 1.4×	512 0.9×	541 1.3×	328 1.4×	15	2.5k
Nicolas Heck France	23	818 0.8×	881 1.0×	342 0.6×	283 0.7×	110 0.5×	38	1.7k
Teruyuki Tanaka Japan	20	1.0k 1.0×	634 0.7×	663 1.2×	688 1.7×	450 2.0×	35	2.1k
Jilin Bai United States	14	735 0.8×	560 0.6×	272 0.5×	480 1.2×	318 1.4×	18	1.7k
Kamon Sanada Japan	24	1.0k 1.1×	618 0.7×	557 1.0×	468 1.1×	246 1.1×	41	2.0k
Tobias M. Fischer Germany	10	918 0.9×	1.0k 1.1×	270 0.5×	716 1.7×	139 0.6×	12	2.0k

Countries citing papers authored by Jay B. Bikoff

Since Specialization

Citations

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

Fields of papers citing papers by Jay B. Bikoff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay B. Bikoff. 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 Jay B. Bikoff. The network helps show where Jay B. Bikoff may publish in the future.

Co-authorship network of co-authors of Jay B. Bikoff

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

All Works

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20 of 20 papers shown

Bikoff, Jay B., et al.. (2025). Segregated basal ganglia output pathways correspond to genetically divergent neuronal subclasses. Cell Reports. 44(4). 115454–115454. 1 indexed citations

Patton, Mary H., Ildar T. Bayazitov, Camenzind G. Robinson, et al.. (2024). Synaptic plasticity in human thalamocortical assembloids. Cell Reports. 43(8). 114503–114503. 17 indexed citations

Hughes, Alex C., et al.. (2024). A single-vector intersectional AAV strategy for interrogating cellular diversity and brain function. Nature Neuroscience. 27(7). 1400–1410. 8 indexed citations

Fenno, Lief E., et al.. (2024). A brain-wide map of descending inputs onto spinal V1 interneurons. Neuron. 113(4). 524–538.e6. 3 indexed citations

Griffith, Ronald W., et al.. (2024). Spinal V1 inhibitory interneuron clades differ in birthdate, projections to motoneurons, and heterogeneity. eLife. 13. 2 indexed citations

Griffith, Ronald W., et al.. (2024). Spinal V1 inhibitory interneuron clades differ in birthdate, projections to motoneurons, and heterogeneity. eLife. 13. 3 indexed citations

Deska‐Gauthier, Dylan, Chris Jones, Han Zhang, et al.. (2023). Embryonic temporal-spatial delineation of excitatory spinal V3 interneuron diversity. Cell Reports. 43(1). 113635–113635. 10 indexed citations

Jessell, Thomas M., et al.. (2021). Genetic targeting of adult Renshaw cells using a Calbindin 1 destabilized Cre allele for intersection with Parvalbumin or Engrailed1. Scientific Reports. 11(1). 19861–19861. 6 indexed citations

Brenner‐Morton, Susan, Jay B. Bikoff, Linjing Fang, et al.. (2020). Differential Loss of Spinal Interneurons in a Mouse Model of ALS. Neuroscience. 450. 81–95. 20 indexed citations

10.

Bikoff, Jay B.. (2019). Interneuron diversity and function in the spinal motor system. Current Opinion in Physiology. 8. 36–43. 13 indexed citations

11.

Hoang, Phuong T., Joshua I. Chalif, Jay B. Bikoff, et al.. (2018). Subtype Diversification and Synaptic Specificity of Stem Cell-Derived Spinal Interneurons. Neuron. 100(1). 135–149.e7. 19 indexed citations

12.

Gosgnach, Simon, Jay B. Bikoff, Kimberly J. Dougherty, et al.. (2017). Delineating the Diversity of Spinal Interneurons in Locomotor Circuits. Journal of Neuroscience. 37(45). 10835–10841. 69 indexed citations

13.

Gabitto, Mariano I., Ari Pakman, Jay B. Bikoff, et al.. (2016). Bayesian Sparse Regression Analysis Documents the Diversity of Spinal Inhibitory Interneurons. Cell. 165(1). 220–233. 55 indexed citations

14.

Bikoff, Jay B., Mariano I. Gabitto, Andre F. Rivard, et al.. (2016). Spinal Inhibitory Interneuron Diversity Delineates Variant Motor Microcircuits. Cell. 165(1). 207–219. 187 indexed citations

15.

Ho, Hsin‐Yi Henry, Michael W. Susman, Jay B. Bikoff, et al.. (2012). Wnt5a–Ror–Dishevelled signaling constitutes a core developmental pathway that controls tissue morphogenesis. Proceedings of the National Academy of Sciences. 109(11). 4044–4051. 203 indexed citations

16.

Margolis, Seth S., John Salogiannis, David M. Lipton, et al.. (2010). EphB-Mediated Degradation of the RhoA GEF Ephexin5 Relieves a Developmental Brake on Excitatory Synapse Formation. Cell. 143(3). 442–455. 199 indexed citations

17.

Zhou, Pengcheng, Marimélia Porcionatto, Mariecel Pilapil, et al.. (2007). Polarized Signaling Endosomes Coordinate BDNF-Induced Chemotaxis of Cerebellar Precursors. Neuron. 55(1). 53–68. 128 indexed citations

18.

Fu, Wing‐Yu, Yu Chen, Mustafa Şahin, et al.. (2006). Cdk5 regulates EphA4-mediated dendritic spine retraction through an ephexin1-dependent mechanism. Nature Neuroscience. 10(1). 67–76. 257 indexed citations

19.

Tolias, Kimberley F., Jay B. Bikoff, A Burette, et al.. (2005). The Rac1-GEF Tiam1 Couples the NMDA Receptor to the Activity-Dependent Development of Dendritic Arbors and Spines. Neuron. 45(4). 525–538. 307 indexed citations

20.

Wills, Zachary P., Mark M. Emerson, Jannette Rusch, et al.. (2002). A Drosophila Homolog of Cyclase-Associated Proteins Collaborates with the Abl Tyrosine Kinase to Control Midline Axon Pathfinding. Neuron. 36(4). 611–622. 74 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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