John T. Green

3.0k total citations
87 papers, 2.1k citations indexed

About

John T. Green is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, John T. Green has authored 87 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cellular and Molecular Neuroscience, 27 papers in Cognitive Neuroscience and 13 papers in Molecular Biology. Recurrent topics in John T. Green's work include Neuroscience and Neuropharmacology Research (27 papers), Memory and Neural Mechanisms (22 papers) and Stress Responses and Cortisol (10 papers). John T. Green is often cited by papers focused on Neuroscience and Neuropharmacology Research (27 papers), Memory and Neural Mechanisms (22 papers) and Stress Responses and Cortisol (10 papers). John T. Green collaborates with scholars based in United States, United Kingdom and Germany. John T. Green's co-authors include Joseph E. Steinmetz, Gareth Thomas, James Berrill, Diana S. Woodruff‐Pak, Kerenza Hood, John Rhodes, Mark E. Bouton, Anthony K. Campbell, Charles R. Goodlett and Stephanie B. Matthews and has published in prestigious journals such as Journal of Neuroscience, Psychological Bulletin and Gastroenterology.

In The Last Decade

John T. Green

84 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John T. Green United States 30 429 427 401 336 325 87 2.1k
Pasquale Parisi Italy 39 623 1.5× 416 1.0× 601 1.5× 456 1.4× 468 1.4× 230 4.9k
Astrid Dempfle Germany 31 503 1.2× 471 1.1× 344 0.9× 460 1.4× 308 0.9× 129 3.6k
Antonio Pascotto Italy 36 503 1.2× 322 0.8× 548 1.4× 728 2.2× 155 0.5× 84 3.0k
Michael Salzberg Australia 33 452 1.1× 162 0.4× 893 2.2× 307 0.9× 207 0.6× 75 2.6k
Jo Knight United Kingdom 33 357 0.8× 917 2.1× 274 0.7× 1.0k 3.0× 198 0.6× 106 3.3k
Takanori Yamagata Japan 32 572 1.3× 678 1.6× 657 1.6× 1.4k 4.2× 199 0.6× 218 3.6k
Karen A. Waters Australia 39 633 1.5× 640 1.5× 258 0.6× 489 1.5× 324 1.0× 200 5.0k
Vijendra K. Singh United States 33 1.0k 2.4× 646 1.5× 472 1.2× 701 2.1× 167 0.5× 103 3.2k
Jakob Hartmann Germany 29 200 0.5× 96 0.2× 310 0.8× 658 2.0× 205 0.6× 62 2.4k
James J. Crowley United States 30 304 0.7× 598 1.4× 562 1.4× 993 3.0× 446 1.4× 145 3.4k

Countries citing papers authored by John T. Green

Since Specialization
Citations

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

Fields of papers citing papers by John T. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John T. Green

This figure shows the co-authorship network connecting the top 25 collaborators of John T. Green. A scholar is included among the top collaborators of John T. Green 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 John T. Green. John T. Green 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
1.
2.
Dhar, Anjan, et al.. (2024). P241 Diagnostic and surveillance upper gastrointestinal endoscopy practice in UK hospitals: results of a BSG EQIP survey. Poster presentations. A192–A193. 1 indexed citations
3.
Bouton, Mark E., et al.. (2023). Prelimbic cortex inactivation prevents ABA renewal based on satiety state. Neurobiology of Learning and Memory. 202. 107759–107759. 1 indexed citations
4.
Morielli, Anthony D., et al.. (2021). Intracerebellar infusion of an mGluR1/5 agonist enhances eyeblink conditioning.. Behavioral Neuroscience. 135(3). 336–342. 1 indexed citations
5.
Larson, Eric R., Emma Leishman, Lisa A. Bartolomeo, et al.. (2020). Long-Term Aberrations To Cerebellar Endocannabinoids Induced By Early-Life Stress. Scientific Reports. 10(1). 7236–7236. 14 indexed citations
6.
Trask, Sydney, et al.. (2018). Inactivation of prelimbic and infralimbic cortex respectively affects minimally-trained and extensively-trained goal-directed actions. Neurobiology of Learning and Memory. 155. 164–172. 38 indexed citations
7.
Green, John T., et al.. (2017). Cerebellar learning modulates surface expression of a voltage-gated ion channel in cerebellar cortex. Neurobiology of Learning and Memory. 142(Pt B). 252–262. 1 indexed citations
8.
Morielli, Anthony D., et al.. (2016). Intracerebellar infusion of the protein kinase M zeta (PKMζ) inhibitor zeta-inhibitory peptide (ZIP) disrupts eyeblink classical conditioning.. Behavioral Neuroscience. 130(6). 563–571. 3 indexed citations
9.
Berrill, James, John Gallacher, Kerenza Hood, et al.. (2013). An observational study of cognitive function in patients with irritable bowel syndrome and inflammatory bowel disease. Neurogastroenterology & Motility. 25(11). 918–918. 49 indexed citations
10.
Toufexis, Donna, et al.. (2013). Gonadal hormones and voluntary exercise interact to improve discrimination ability in a set-shift task.. Behavioral Neuroscience. 127(5). 744–754. 8 indexed citations
11.
Green, John T., et al.. (2013). Nonendoscopic therapies for the management of radiation-induced rectal bleeding. Current Opinion in Supportive and Palliative Care. 7(2). 175–182. 3 indexed citations
12.
Green, John T., et al.. (2011). Spontaneous recovery but not reinstatement of the extinguished conditioned eyeblink response in the rat.. Behavioral Neuroscience. 125(4). 613–625. 11 indexed citations
13.
Berrill, James, et al.. (2011). Upper gastrointestinal cancer in its early stages is predominantly asymptomatic. Frontline Gastroenterology. 3(1). 47–51. 5 indexed citations
14.
Chess, Amy C., et al.. (2011). Set shifting in a rodent model of attention-deficit/hyperactivity disorder.. Behavioral Neuroscience. 125(3). 372–382. 17 indexed citations
15.
Green, John T., et al.. (2009). Shortened conditioned eyeblink response latency in male but not female Wistar-Kyoto hyperactive rats.. Behavioral Neuroscience. 123(3). 650–664. 5 indexed citations
16.
Waud, J. P., et al.. (2008). Quantifying the ‘hidden’ lactose in drugs used for the treatment of gastrointestinal conditions. Alimentary Pharmacology & Therapeutics. 29(6). 677–687. 44 indexed citations
17.
18.
Green, John T. & Joseph E. Steinmetz. (2005). Purkinje cell activity in the cerebellar anterior lobe after rabbit eyeblink conditioning. Learning & Memory. 12(3). 260–269. 67 indexed citations
19.
Green, John T., C. Richardson, J. Rhodes, et al.. (2000). Nitric oxide mediates a therapeutic effect of nicotine in ulcerative colitis. Alimentary Pharmacology & Therapeutics. 14(11). 1429–1434. 33 indexed citations
20.
Green, John T., Gareth Thomas, J. Rhodes, et al.. (1997). Pharmacokinetics of nicotine carbomer enemas: A new treatment modality for ulcerative colitis. Clinical Pharmacology & Therapeutics. 61(3). 340–348. 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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