Vibhu Sahni

2.3k total citations · 1 hit paper
16 papers, 1.7k citations indexed

About

Vibhu Sahni is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Vibhu Sahni has authored 16 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Developmental Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Vibhu Sahni's work include Neurogenesis and neuroplasticity mechanisms (9 papers), Nerve injury and regeneration (6 papers) and Axon Guidance and Neuronal Signaling (4 papers). Vibhu Sahni is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (9 papers), Nerve injury and regeneration (6 papers) and Axon Guidance and Neuronal Signaling (4 papers). Vibhu Sahni collaborates with scholars based in United States, Switzerland and Netherlands. Vibhu Sahni's co-authors include John A. Kessler, Samuel I. Stupp, Vicki M. Tysseling, Derin Birch, Catherine Czeisler, Krista L. Niece, Michael G. Fehlings, Francis G. Szele, Gwendolyn E. Goings and Tammy L. McGuire and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Vibhu Sahni

16 papers receiving 1.7k citations

Hit Papers

Self-Assembling Nanofibers Inhibit Glial Scar Formation a... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vibhu Sahni United States 14 763 555 548 452 300 16 1.7k
Derin Birch United States 11 390 0.5× 313 0.6× 439 0.8× 155 0.3× 172 0.6× 12 942
Stephanie K. Seidlits United States 27 548 0.7× 790 1.4× 570 1.0× 248 0.5× 337 1.1× 52 2.5k
Vicki M. Tysseling United States 13 427 0.6× 358 0.6× 503 0.9× 143 0.3× 229 0.8× 20 1.2k
Si–Wei You China 17 530 0.7× 386 0.7× 420 0.8× 204 0.5× 151 0.5× 39 1.3k
Hongyan Zou United States 28 1.7k 2.3× 793 1.4× 82 0.1× 447 1.0× 292 1.0× 65 3.1k
Divya M. Chari United Kingdom 23 647 0.8× 342 0.6× 341 0.6× 460 1.0× 219 0.7× 66 1.6k
Daniele Bottai Italy 18 714 0.9× 403 0.7× 350 0.6× 177 0.4× 91 0.3× 41 1.4k
María T. Dours‐Zimmermann Switzerland 20 1.2k 1.5× 552 1.0× 80 0.1× 266 0.6× 225 0.8× 28 2.4k
Andrés Hurtado United States 21 510 0.7× 1.2k 2.2× 407 0.7× 567 1.3× 684 2.3× 29 2.2k
Catherine Czeisler United States 14 1.3k 1.7× 592 1.1× 1.8k 3.4× 343 0.8× 135 0.5× 32 3.0k

Countries citing papers authored by Vibhu Sahni

Since Specialization
Citations

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

Fields of papers citing papers by Vibhu Sahni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vibhu Sahni. 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 Vibhu Sahni. The network helps show where Vibhu Sahni may publish in the future.

Co-authorship network of co-authors of Vibhu Sahni

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

All Works

16 of 16 papers shown
1.
Itoh, Yasuhiro, et al.. (2023). Inter-axonal molecular crosstalk via Lumican proteoglycan sculpts murine cervical corticospinal innervation by distinct subpopulations. Cell Reports. 42(3). 112182–112182. 4 indexed citations
2.
Song, Janet, et al.. (2023). Cbln1 Directs Axon Targeting by Corticospinal Neurons Specifically toward Thoraco-Lumbar Spinal Cord. Journal of Neuroscience. 43(11). 1871–1887. 6 indexed citations
3.
Sahni, Vibhu, Sara J. Shnider, Denis Jabaudon, et al.. (2021). Corticospinal neuron subpopulation-specific developmental genes prospectively indicate mature segmentally specific axon projection targeting. Cell Reports. 37(3). 109843–109843. 21 indexed citations
4.
Sahni, Vibhu, Yasuhiro Itoh, Sara J. Shnider, & Jeffrey D. Macklis. (2021). Crim1 and Kelch-like 14 exert complementary dual-directional developmental control over segmentally specific corticospinal axon projection targeting. Cell Reports. 37(3). 109842–109842. 20 indexed citations
5.
Pasquina, Lincoln W., Jessica L. MacDonald, Mollie B. Woodworth, et al.. (2020). An evolutionarily acquired microRNA shapes development of mammalian cortical projections. Proceedings of the National Academy of Sciences. 117(46). 29113–29122. 14 indexed citations
6.
Jones, Ashley, Claire Troakes, Andrew King, et al.. (2015). Stratified gene expression analysis identifies major amyotrophic lateral sclerosis genes. Neurobiology of Aging. 36(5). 2006.e1–2006.e9. 21 indexed citations
7.
Pan, Liuliu, Vibhu Sahni, Tammy L. McGuire, et al.. (2014). β1-Integrin and Integrin Linked Kinase Regulate Astrocytic Differentiation of Neural Stem Cells. PLoS ONE. 9(8). e104335–e104335. 58 indexed citations
8.
Bhalala, Oneil G., Liuliu Pan, Vibhu Sahni, et al.. (2012). microRNA-21 Regulates Astrocytic Response Following Spinal Cord Injury. Journal of Neuroscience. 32(50). 17935–17947. 189 indexed citations
9.
Tysseling, Vicki M., Divakar S. Mithal, Vibhu Sahni, et al.. (2011). SDF1 in the dorsal corticospinal tract promotes CXCR4+ cell migration after spinal cord injury. Journal of Neuroinflammation. 8(1). 16–16. 46 indexed citations
10.
Sahni, Vibhu & John A. Kessler. (2010). Stem cell therapies for spinal cord injury. Nature Reviews Neurology. 6(7). 363–372. 177 indexed citations
11.
Sahni, Vibhu, Abhishek Mukhopadhyay, Vicki M. Tysseling, et al.. (2010). BMPR1a and BMPR1b Signaling Exert Opposing Effects on Gliosis after Spinal Cord Injury. Journal of Neuroscience. 30(5). 1839–1855. 127 indexed citations
12.
Tysseling, Vicki M., Vibhu Sahni, E. Thomas Pashuck, et al.. (2010). Self‐assembling peptide amphiphile promotes plasticity of serotonergic fibers following spinal cord injury. Journal of Neuroscience Research. 88(14). 3161–3170. 118 indexed citations
13.
Tysseling, Vicki M., Vibhu Sahni, Krista L. Niece, et al.. (2008). Self-Assembling Nanofibers Inhibit Glial Scar Formation and Promote Axon Elongation after Spinal Cord Injury. Journal of Neuroscience. 28(14). 3814–3823. 543 indexed citations breakdown →
14.
Niece, Krista L., Catherine Czeisler, Vibhu Sahni, et al.. (2008). Modification of gelation kinetics in bioactive peptide amphiphiles. Biomaterials. 29(34). 4501–4509. 72 indexed citations
15.
Kan, Lixin, Nipan Israsena, Min Hu, et al.. (2004). Sox1 acts through multiple independent pathways to promote neurogenesis. Developmental Biology. 269(2). 580–594. 141 indexed citations
16.
Goings, Gwendolyn E., Vibhu Sahni, & Francis G. Szele. (2003). Migration patterns of subventricular zone cells in adult mice change after cerebral cortex injury. Brain Research. 996(2). 213–226. 176 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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