Jason T. Ross

1.5k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Jason T. Ross is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Hematology. According to data from OpenAlex, Jason T. Ross has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 5 papers in Hematology. Recurrent topics in Jason T. Ross's work include Neurotransmitter Receptor Influence on Behavior (4 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Fibroblast Growth Factor Research (2 papers). Jason T. Ross is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (4 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Fibroblast Growth Factor Research (2 papers). Jason T. Ross collaborates with scholars based in United States, Italy and Israel. Jason T. Ross's co-authors include Linheng Li, Jeffrey S. Haug, Tong Yin, Xi He, Justin C. Grindley, Hong Wu, Jiwang Zhang, Leanne M. Wiedemann, Michael A. Nader and Mark LeSage and has published in prestigious journals such as Nature, Blood and Cell stem cell.

In The Last Decade

Jason T. Ross

13 papers receiving 1.1k citations

Hit Papers

PTEN maintains haematopoietic stem cells and acts in line... 2006 2026 2012 2019 2006 200 400 600

Peers

Jason T. Ross
Seema S. Deshpande United States
Eric I. Zimmerman United States
Don Eslin United States
Robert Breese United States
Jason T. Ross
Citations per year, relative to Jason T. Ross Jason T. Ross (= 1×) peers Hartmut Halfter

Countries citing papers authored by Jason T. Ross

Since Specialization
Citations

This map shows the geographic impact of Jason T. Ross'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 Jason T. Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason T. Ross more than expected).

Fields of papers citing papers by Jason T. Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason T. Ross. 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 Jason T. Ross. The network helps show where Jason T. Ross may publish in the future.

Co-authorship network of co-authors of Jason T. Ross

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

All Works

14 of 14 papers shown
1.
Subramanian, Govindan, Paul D. Johnson, Tracey Williams, et al.. (2021). In Pursuit of an Allosteric Human Tropomyosin Kinase A (hTrkA) Inhibitor for Chronic Pain. ACS Medicinal Chemistry Letters. 12(11). 1847–1852. 8 indexed citations
2.
Koyama, Suguru, et al.. (2018). Automated detection of electroencephalography artifacts in human, rodent and canine subjects using machine learning. Journal of Neuroscience Methods. 307. 53–59. 24 indexed citations
3.
Rugg, Catherine A., Julie White, Jason T. Ross, et al.. (2016). Pharmacological evaluation of a selective bradykinin B1antagonist in a canine model of arthritis. Journal of Veterinary Pharmacology and Therapeutics. 40(1). 70–76. 1 indexed citations
4.
Zhao, Meng, Jason T. Ross, Tomer Itkin, et al.. (2012). FGF signaling facilitates postinjury recovery of mouse hematopoietic system. Blood. 120(9). 1831–1842. 67 indexed citations
5.
Ross, Jason T.. (2009). FGFR1 Is Required for and Elucidates Multiple Mechanisms of HSC Mobilization.. Blood. 114(22). 2532–2532.
6.
Haug, Jeffrey S., Xi He, Justin C. Grindley, et al.. (2008). N-Cadherin Expression Level Distinguishes Reserved versus Primed States of Hematopoietic Stem Cells. Cell stem cell. 2(4). 367–379. 113 indexed citations
7.
LeSage, Mark, David Shelley, Jason T. Ross, F. Ivy Carroll, & William A. Corrigall. (2008). Effects of the nicotinic receptor partial agonists varenicline and cytisine on the discriminative stimulus effects of nicotine in rats. Pharmacology Biochemistry and Behavior. 91(3). 461–467. 71 indexed citations
9.
Ross, Jason T., William A. Corrigall, Christian Heidbreder, & Mark LeSage. (2007). Effects of the selective dopamine D3 receptor antagonist SB-277011A on the reinforcing effects of nicotine as measured by a progressive-ratio schedule in rats. European Journal of Pharmacology. 559(2-3). 173–179. 49 indexed citations
10.
Haug, Jeffrey S., Xi He, Justin C. Grindley, et al.. (2007). N-cadherin Expression Level Distinguishes Reserved Versus Primed States of Hematopoietic Stem Cells.. Blood. 110(11). 1268–1268. 1 indexed citations
11.
Zhang, Jiwang, Justin C. Grindley, Tong Yin, et al.. (2006). PTEN maintains haematopoietic stem cells and acts in lineage choice and leukaemia prevention. Nature. 441(7092). 518–522. 640 indexed citations breakdown →
12.
Lile, Joshua A., Jason T. Ross, & Michael A. Nader. (2004). A comparison of the reinforcing efficacy of 3,4-methylenedioxymethamphetamine (MDMA, “ecstasy”) with cocaine in rhesus monkeys. Drug and Alcohol Dependence. 78(2). 135–140. 52 indexed citations
13.
Perrine, D., et al.. (2000). A Short, One-Pot Synthesis of Bupropion (Zyban, Wellbutrin). Journal of Chemical Education. 77(11). 1479–1479. 58 indexed citations
14.
Yin, Kingsley, et al.. (1999). ROLE OF INTERFERON-GAMMA IN LUNG INFLAMMATION FOLLOWING CECAL LIGATION AND PUNCTURE IN RATS. Shock. 12(3). 215–221. 20 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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