T. Ritchíe

672 total citations
18 papers, 529 citations indexed

About

T. Ritchíe is a scholar working on Epidemiology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, T. Ritchíe has authored 18 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in T. Ritchíe's work include Neurotransmitter Receptor Influence on Behavior (5 papers), HIV, Drug Use, Sexual Risk (5 papers) and Substance Abuse Treatment and Outcomes (4 papers). T. Ritchíe is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (5 papers), HIV, Drug Use, Sexual Risk (5 papers) and Substance Abuse Treatment and Outcomes (4 papers). T. Ritchíe collaborates with scholars based in United Kingdom, United States and French Polynesia. T. Ritchíe's co-authors include Ernest P. Noble, Robert J. Fitch, Tulin Ozkaragoz, Robert L. Brunner, Sachiko T. St. Jeor, R S Sparkes, Stephen C. St. Jeor, Steven M. Berman, Karl Syndulko and R. Cole and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Infectious Diseases.

In The Last Decade

T. Ritchíe

15 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Ritchíe United Kingdom 9 256 213 128 93 84 18 529
Manon Lebel Canada 14 190 0.7× 232 1.1× 144 1.1× 49 0.5× 42 0.5× 27 865
Blanca Morales Spain 17 192 0.8× 157 0.7× 84 0.7× 58 0.6× 94 1.1× 36 622
Shankar Sadasivan United States 13 212 0.8× 237 1.1× 106 0.8× 161 1.7× 64 0.8× 17 724
Manav Kapoor United States 13 119 0.5× 300 1.4× 188 1.5× 61 0.7× 54 0.6× 28 639
Koichiro Fujimaki Japan 12 113 0.4× 160 0.8× 53 0.4× 37 0.4× 112 1.3× 23 553
Hazel Platt United Kingdom 12 119 0.5× 122 0.6× 53 0.4× 75 0.8× 94 1.1× 18 593
Catherine Schmidt‐Mutter France 15 190 0.7× 164 0.8× 104 0.8× 39 0.4× 80 1.0× 34 659
Olga Taraschenko United States 15 192 0.8× 168 0.8× 85 0.7× 27 0.3× 215 2.6× 43 624
Vernell Williamson United States 13 108 0.4× 447 2.1× 91 0.7× 65 0.7× 47 0.6× 19 777
Christopher D. Swagell Australia 13 112 0.4× 151 0.7× 46 0.4× 61 0.7× 69 0.8× 21 392

Countries citing papers authored by T. Ritchíe

Since Specialization
Citations

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

Fields of papers citing papers by T. Ritchíe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Ritchíe

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

All Works

18 of 18 papers shown
1.
2.
Metcalfe, Rebecca, Robert D. Fraser, Kirsten M. A. Trayner, et al.. (2024). Rising mortality among people who inject drugs living with HIV in Scotland, UK: A 20‐year retrospective cohort study. HIV Medicine. 26(2). 265–274.
3.
Best, Catherine, et al.. (2024). Association between benzodiazepine coprescription and mortality in people on opioid replacement therapy: a population-based cohort study. BMJ Open. 14(3). e074668–e074668. 4 indexed citations
4.
Matheson, Catriona, et al.. (2024). Clinical Outcomes of Benzodiazepine Prescribing for People Receiving Opioid Agonist Treatment: A Systematic Review of the Evidence. SHILAP Revista de lepidopterología. 12(5). 152–152. 4 indexed citations
5.
6.
Matheson, Catriona, Joe Schofield, Tessa Parkes, et al.. (2023). Development of an intervention to manage benzodiazepine dependence and high-risk use in the context of escalating drug related deaths in Scotland: an application of the MRC framework. BMC Health Services Research. 23(1). 1205–1205. 3 indexed citations
7.
McAuley, Andrew, et al.. (2023). Increased risk of non-fatal overdose associated with non-prescribed benzodiazepine use in Scotland, UK. International Journal of Drug Policy. 144(Pt 1). 104236–104236. 6 indexed citations
8.
Trayner, Kirsten M. A., Andrew McAuley, Norah Palmateer, et al.. (2022). Examining the impact of the first wave of COVID-19 and associated control measures on interventions to prevent blood-borne viruses among people who inject drugs in Scotland: an interrupted time series study. Drug and Alcohol Dependence. 232. 109263–109263. 15 indexed citations
9.
Metcalfe, Rebecca, Manon Ragonnet‐Cronin, Amanda Bradley-Stewart, et al.. (2020). From Hospital to the Community: Redesigning the Human Immunodeficiency Virus (HIV) Clinical Service Model to Respond to an Outbreak of HIV Among People Who Inject Drugs. The Journal of Infectious Diseases. 222(Supplement_5). S410–S419. 11 indexed citations
10.
Boyle, Alison, Fiona Marra, T. Ritchíe, et al.. (2019). Eight weeks of sofosbuvir/velpatasvir for genotype 3 hepatitis C in previously untreated patients with significant (F2/3) fibrosis. Journal of Viral Hepatitis. 27(4). 371–375. 4 indexed citations
11.
Noble, Ernest P., L Nicolas, Xavier Deparis, et al.. (2000). Association of D2 dopamine receptor and alcohol dehydrogenase 2 genes with Polynesian alcoholics. European Psychiatry. 15(2). 97–102. 15 indexed citations
12.
Small, Gary W., Ernest P. Noble, Steven S. Matsuyama, et al.. (1997). D2 Dopamine Receptor A1 Allele in Alzheimer Disease and Aging. Archives of Neurology. 54(3). 281–285. 10 indexed citations
13.
Nazarian, Ramin, et al.. (1997). Isolation of Nuclear Proteins from Human Brains. BioTechniques. 22(5). 848–850. 13 indexed citations
14.
Ritchíe, T., et al.. (1994). Haplotypes of the D{sub 2} dopamine receptor gene in higher and lower alcohol consuming subjects. The American Journal of Human Genetics. 55. 2 indexed citations
15.
Noble, Ernest P., Sachiko T. St. Jeor, T. Ritchíe, et al.. (1994). D2 dopamine receptor gene and cigarette smoking: A reward gene?. Medical Hypotheses. 42(4). 257–260. 183 indexed citations
16.
Noble, Ernest P., Steven M. Berman, Tulin Ozkaragoz, & T. Ritchíe. (1994). Prolonged P300 latency in children with the D2 dopamine receptor A1 allele.. PubMed. 54(4). 658–68. 93 indexed citations
17.
Blum, Kenneth, Ernest P. Noble, Peter J. Sheridan, et al.. (1993). Genetic predisposition in alcoholism: Association of the D2 dopamine receptor TaqI B1 RFLP with severe alcoholics. Alcohol. 10(1). 59–67. 101 indexed citations
18.
Ritchíe, T., R. Cole, Hun‐Soo Kim, Jean de Vellis, & Ernest P. Noble. (1987). Inositol phospholipid hydrolysis in cultured astrocytes and oligodendrocytes. Life Sciences. 41(1). 31–39. 65 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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