Nicholas Stoy

2.3k total citations
28 papers, 1.5k citations indexed

About

Nicholas Stoy is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Nicholas Stoy has authored 28 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biological Psychiatry, 9 papers in Cellular and Molecular Neuroscience and 9 papers in Behavioral Neuroscience. Recurrent topics in Nicholas Stoy's work include Tryptophan and brain disorders (13 papers), Stress Responses and Cortisol (9 papers) and Genetic Neurodegenerative Diseases (9 papers). Nicholas Stoy is often cited by papers focused on Tryptophan and brain disorders (13 papers), Stress Responses and Cortisol (9 papers) and Genetic Neurodegenerative Diseases (9 papers). Nicholas Stoy collaborates with scholars based in United Kingdom, Sweden and Netherlands. Nicholas Stoy's co-authors include Trevor W. Stone, L. Gail Darlington, Caroline M. Forrest, Gillian Mackay, M. Egerton, J A Christofides, Christopher D. George, Robert A. Smith, Andrew J. Smith and Rohan Taylor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Neurology and Journal of Neurochemistry.

In The Last Decade

Nicholas Stoy

28 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Stoy United Kingdom 16 800 461 446 286 214 28 1.5k
Caroline M. Forrest United Kingdom 25 1.2k 1.5× 717 1.6× 571 1.3× 384 1.3× 250 1.2× 48 2.0k
Vimal Kapoor Australia 19 1.0k 1.3× 643 1.4× 420 0.9× 330 1.2× 325 1.5× 29 1.9k
Roger Desnyder Belgium 15 973 1.2× 669 1.5× 241 0.5× 459 1.6× 235 1.1× 17 2.0k
Adam J. Walker Australia 21 360 0.5× 205 0.4× 306 0.7× 189 0.7× 123 0.6× 44 1.3k
Ruili Dang China 23 389 0.5× 276 0.6× 407 0.9× 135 0.5× 135 0.6× 62 1.5k
Chiara C. Bortolasci Australia 22 475 0.6× 200 0.4× 347 0.8× 304 1.1× 129 0.6× 62 1.5k
Yaoyu Pu Japan 23 979 1.2× 329 0.7× 774 1.7× 79 0.3× 210 1.0× 42 1.8k
Sho Moriguchi Japan 20 356 0.4× 181 0.4× 280 0.6× 190 0.7× 176 0.8× 56 1.6k
Kelly R. Jacobs Australia 13 641 0.8× 320 0.7× 276 0.6× 233 0.8× 77 0.4× 16 921
Cinara Ludvig Gonçalves Brazil 22 355 0.4× 158 0.3× 456 1.0× 188 0.7× 248 1.2× 70 1.4k

Countries citing papers authored by Nicholas Stoy

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Stoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Stoy

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Stoy. A scholar is included among the top collaborators of Nicholas Stoy 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 Nicholas Stoy. Nicholas Stoy 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.
Wu, Huihai, Axel von Kamp, Wataru Mori, et al.. (2016). MUFINS: multi-formalism interaction network simulator. npj Systems Biology and Applications. 2(1). 16032–16032. 17 indexed citations
3.
O’Donovan, Kirsty, Eva Ekblad, Elin Sand, et al.. (2015). Characterization of Gastric Mucosa Biopsies Reveals Alterations in Huntington's Disease. PLoS Currents. 7. 15 indexed citations
4.
Stone, Trevor W., Nicholas Stoy, & L. Gail Darlington. (2012). An expanding range of targets for kynurenine metabolites of tryptophan. Trends in Pharmacological Sciences. 34(2). 136–143. 272 indexed citations
5.
Stone, Trevor W., Caroline M. Forrest, Nicholas Stoy, & L. Gail Darlington. (2011). Involvement of kynurenines in Huntington’s disease and stroke-induced brain damage. Journal of Neural Transmission. 119(2). 261–274. 39 indexed citations
6.
Stoy, Nicholas. (2011). Innate origins of multiple sclerosis pathogenesis: Implications for computer‐assisted design of disease‐modifying therapies. Drug Development Research. 72(8). 674–688. 1 indexed citations
7.
Scott, Adrienne W., et al.. (2010). Gardening with Huntington's disease clients – creating a programme of winter activities. Disability and Rehabilitation. 33(2). 159–164. 11 indexed citations
8.
Forrest, Caroline M., Gillian Mackay, Nicholas Stoy, et al.. (2009). Blood levels of kynurenines, interleukin‐23 and soluble human leucocyte antigen‐G at different stages of Huntington’s disease. Journal of Neurochemistry. 112(1). 112–122. 65 indexed citations
9.
Darlington, L. Gail, Gillian Mackay, Caroline M. Forrest, et al.. (2007). Altered kynurenine metabolism correlates with infarct volume in stroke. European Journal of Neuroscience. 26(8). 2211–2221. 130 indexed citations
10.
Forrest, Caroline M., Gillian Mackay, Nicholas Stoy, Trevor W. Stone, & L. Gail Darlington. (2007). Inflammatory status and kynurenine metabolism in rheumatoid arthritis treated with melatonin. British Journal of Clinical Pharmacology. 64(4). 517–526. 76 indexed citations
11.
Stone, Trevor W., Caroline M. Forrest, Gillian Mackay, Nicholas Stoy, & L. Gail Darlington. (2007). Tryptophan, adenosine, neurodegeneration and neuroprotection. Metabolic Brain Disease. 22(3-4). 337–352. 51 indexed citations
12.
Forrest, Caroline M., et al.. (2006). KYNURENINE PATHWAY METABOLISM IN PATIENTS WITH OSTEOPOROSIS AFTER 2 YEARS OF DRUG TREATMENT. Clinical and Experimental Pharmacology and Physiology. 33(11). 1078–1087. 77 indexed citations
13.
Christofides, J A, M. Egerton, Gillian Mackay, et al.. (2006). Blood 5‐hydroxytryptamine, 5‐hydroxyindoleacetic acid and melatonin levels in patients with either Huntington's disease or chronic brain injury. Journal of Neurochemistry. 97(4). 1078–1088. 30 indexed citations
14.
Mackay, Gillian, Caroline M. Forrest, Nicholas Stoy, et al.. (2006). Tryptophan metabolism and oxidative stress in patients with chronic brain injury. European Journal of Neurology. 13(1). 30–42. 112 indexed citations
15.
Forrest, Caroline M., et al.. (2006). Adenosine and cytokine levels following treatment of rheumatoid arthritis with dipyridamole. Rheumatology International. 27(1). 11–17. 9 indexed citations
16.
Forrest, Caroline M., et al.. (2006). Purine Metabolism and Clinical Status of Patients with Rheumatoid Arthritis Treated with Dipyridamole. Nucleosides Nucleotides & Nucleic Acids. 25(9-11). 1287–1290. 6 indexed citations
17.
Stoy, Nicholas, Gillian Mackay, Caroline M. Forrest, et al.. (2005). Tryptophan metabolism and oxidative stress in patients with Huntington's disease. Journal of Neurochemistry. 93(3). 611–623. 245 indexed citations
18.
Forrest, Caroline M., Gillian Mackay, Nicholas Stoy, et al.. (2004). Tryptophan Loading Induces Oxidative Stress. Free Radical Research. 38(11). 1167–1171. 75 indexed citations
19.
Forrest, Caroline M., et al.. (2004). Purine Modulation of Cytokine Release During Diuretic Therapy of Rheumatoid Arthritis. Nucleosides Nucleotides & Nucleic Acids. 23(8-9). 1107–1110. 5 indexed citations
20.
Stoy, Nicholas. (2001). Macrophage Biology and Pathobiology in the Evolution of Immune Responses: A Functional Analysis. Pathobiology. 69(4). 179–211. 33 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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