Jed S. Shumsky

3.0k total citations
57 papers, 2.5k citations indexed

About

Jed S. Shumsky is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Jed S. Shumsky has authored 57 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cellular and Molecular Neuroscience, 28 papers in Pathology and Forensic Medicine and 11 papers in Surgery. Recurrent topics in Jed S. Shumsky's work include Spinal Cord Injury Research (28 papers), Nerve injury and regeneration (17 papers) and Neurotransmitter Receptor Influence on Behavior (9 papers). Jed S. Shumsky is often cited by papers focused on Spinal Cord Injury Research (28 papers), Nerve injury and regeneration (17 papers) and Neurotransmitter Receptor Influence on Behavior (9 papers). Jed S. Shumsky collaborates with scholars based in United States, Spain and Japan. Jed S. Shumsky's co-authors include Itzhak Fischer, Birgit Neuhuber, Marion Murray, M. Murray, B. Timothy Himes, Takahiko Mitsui, Gianluca Gallo, Christopher A. Tobias, Alan Tessler and Karen A. Moxon and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Jed S. Shumsky

56 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jed S. Shumsky United States 27 1.3k 1.2k 648 569 459 57 2.5k
Stephen M. Onifer United States 23 998 0.7× 1.1k 0.9× 176 0.3× 519 0.9× 352 0.8× 44 2.0k
Kanehiro Fujiyoshi Japan 23 777 0.6× 869 0.7× 477 0.7× 538 0.9× 688 1.5× 53 2.4k
Rachelle Franzen Belgium 23 959 0.7× 750 0.6× 533 0.8× 453 0.8× 340 0.7× 40 2.0k
E Rosenzweig United States 19 1.7k 1.3× 1.1k 0.9× 299 0.5× 753 1.3× 408 0.9× 29 2.9k
B. Timothy Himes United States 25 1.9k 1.4× 1.0k 0.8× 654 1.0× 1.0k 1.8× 461 1.0× 36 2.8k
Keith E. Tansey United States 21 1.0k 0.8× 1.5k 1.2× 206 0.3× 535 0.9× 523 1.1× 57 3.1k
Alan Tessler United States 39 2.8k 2.1× 1.9k 1.6× 501 0.8× 1.5k 2.6× 858 1.9× 83 4.4k
Darlene A. Burke United States 28 687 0.5× 1.7k 1.4× 185 0.3× 312 0.5× 675 1.5× 55 2.4k
Johan Widenfalk Sweden 22 1.9k 1.4× 678 0.6× 850 1.3× 1.1k 2.0× 462 1.0× 26 3.2k
Naomi Kleitman United States 29 2.9k 2.2× 2.2k 1.8× 476 0.7× 1.5k 2.7× 1.2k 2.5× 43 4.4k

Countries citing papers authored by Jed S. Shumsky

Since Specialization
Citations

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

Fields of papers citing papers by Jed S. Shumsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jed S. Shumsky. 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 Jed S. Shumsky. The network helps show where Jed S. Shumsky may publish in the future.

Co-authorship network of co-authors of Jed S. Shumsky

This figure shows the co-authorship network connecting the top 25 collaborators of Jed S. Shumsky. A scholar is included among the top collaborators of Jed S. Shumsky 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 Jed S. Shumsky. Jed S. Shumsky 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
2.
Ganzer, Patrick D., et al.. (2016). Therapy induces widespread reorganization of motor cortex after complete spinal transection that supports motor recovery. Experimental Neurology. 279. 1–12. 15 indexed citations
3.
Jin, Ying, et al.. (2016). Transplantation of neural progenitor cells in chronic spinal cord injury. Neuroscience. 320. 69–82. 41 indexed citations
4.
Foffani, Guglielmo, Jed S. Shumsky, Eric B. Knudsen, Patrick D. Ganzer, & Karen A. Moxon. (2015). Interactive Effects Between Exercise and Serotonergic Pharmacotherapy on Cortical Reorganization After Spinal Cord Injury. Neurorehabilitation and neural repair. 30(5). 479–489. 14 indexed citations
5.
Graziano, Alessandro, Guglielmo Foffani, Eric B. Knudsen, Jed S. Shumsky, & Karen A. Moxon. (2013). Passive Exercise of the Hind Limbs after Complete Thoracic Transection of the Spinal Cord Promotes Cortical Reorganization. PLoS ONE. 8(1). e54350–e54350. 35 indexed citations
6.
Moxon, Karen A., et al.. (2012). Role of cortical reorganization on the effect of 5-HT pharmacotherapy for spinal cord injury. Experimental Neurology. 240. 17–27. 7 indexed citations
7.
Stackhouse, Scott K., et al.. (2011). Amphetamine-Enhanced Motor Training after Cervical Contusion Injury. Journal of Neurotrauma. 29(5). 971–989. 13 indexed citations
8.
Izzi, Jessica, et al.. (2009). Forced Exercise as a Rehabilitation Strategy after Unilateral Cervical Spinal Cord Contusion Injury. Journal of Neurotrauma. 26(5). 721–731. 63 indexed citations
9.
Hayashi, Yoshinori, et al.. (2009). 5-HT precursor loading, but not 5-HT receptor agonists, increases motor function after spinal cord contusion in adult rats. Experimental Neurology. 221(1). 68–78. 38 indexed citations
10.
Neuhuber, Birgit, et al.. (2008). Stem cell delivery by lumbar puncture as a therapeutic alternative to direct injection into injured spinal cord. Journal of Neurosurgery Spine. 9(4). 390–399. 33 indexed citations
12.
Stackhouse, Scott K., Marion Murray, & Jed S. Shumsky. (2008). Effect of Cervical Dorsolateral Funiculotomy on Reach-to-Grasp Function in the Rat. Journal of Neurotrauma. 25(8). 1039–1047. 26 indexed citations
13.
Mitsui, Takahiko, Itzhak Fischer, Jed S. Shumsky, & Marion Murray. (2005). Transplants of fibroblasts expressing BDNF and NT-3 promote recovery of bladder and hindlimb function following spinal contusion injury in rats. Experimental Neurology. 194(2). 410–431. 90 indexed citations
14.
Neuhuber, Birgit, B. Timothy Himes, Jed S. Shumsky, Gianluca Gallo, & Itzhak Fischer. (2005). Axon growth and recovery of function supported by human bone marrow stromal cells in the injured spinal cord exhibit donor variations. Brain Research. 1035(1). 73–85. 265 indexed citations
15.
Shumsky, Jed S., et al.. (2004). Partial 5-HT receptor agonist activity by the 5-HT receptor antagonist SB 206,553 is revealed in rats spinalized as neonates. Experimental Neurology. 191(2). 361–365. 13 indexed citations
16.
17.
Shumsky, Jed S., et al.. (2002). Differential effects of prenatal cocaine exposure on selected subunit mRNAs of the GABAA receptor in rabbit anterior cingulate cortex. Journal of Chemical Neuroanatomy. 24(4). 243–255. 3 indexed citations
18.
Stanwood, Gregg D., et al.. (2001). Prenatal cocaine exposure produces consistent developmental alterations in dopamine-rich regions of the cerebral cortex. Neuroscience. 106(1). 5–14. 86 indexed citations
19.
Shumsky, Jed S. & Irwin Lucki. (1996). Differential tolerance to the effects of chlordiazepoxide on unpunished and punished operant responding following chronic treatment. Pharmacology Biochemistry and Behavior. 53(3). 593–601. 5 indexed citations
20.
Tonkiss, John, Jed S. Shumsky, Penny L. Shultz, Sebastião Sousa Almeida, & Janina R. Galler. (1995). Prenatal cocaine but not prenatal malnutrition affects foster mother-pup interactions in rats. Neurotoxicology and Teratology. 17(5). 601–608. 23 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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