T. Lancaster

3.0k total citations
72 papers, 1.2k citations indexed

About

T. Lancaster is a scholar working on Genetics, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, T. Lancaster has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 21 papers in Cognitive Neuroscience and 14 papers in Psychiatry and Mental health. Recurrent topics in T. Lancaster's work include Genetic Associations and Epidemiology (18 papers), Functional Brain Connectivity Studies (18 papers) and Alzheimer's disease research and treatments (10 papers). T. Lancaster is often cited by papers focused on Genetic Associations and Epidemiology (18 papers), Functional Brain Connectivity Studies (18 papers) and Alzheimer's disease research and treatments (10 papers). T. Lancaster collaborates with scholars based in United Kingdom, United States and Netherlands. T. Lancaster's co-authors include David E.J. Linden, F. L. Pratt, Katherine E. Tansey, Jackie Y. Ying, C. Baines, Erin A. Heerey, Stephen J. Blundell, Lisa M. Brindley, Kiran K. Mantripragada and Peter J. Baker and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Journal of Neuroscience.

In The Last Decade

T. Lancaster

70 papers receiving 1.2k 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. Lancaster United Kingdom 20 306 194 193 186 179 72 1.2k
Kirsten M. Scott United Kingdom 23 179 0.6× 76 0.4× 298 1.5× 186 1.0× 107 0.6× 49 2.0k
Kjell Heuser Norway 18 97 0.3× 286 1.5× 211 1.1× 93 0.5× 49 0.3× 63 1.1k
R. E. Snyder Canada 21 209 0.7× 476 2.5× 148 0.8× 55 0.3× 64 0.4× 72 2.0k
Megumi Kobayashi Japan 22 316 1.0× 31 0.2× 391 2.0× 58 0.3× 50 0.3× 54 1.6k
Therése Eriksson Sweden 24 191 0.6× 55 0.3× 420 2.2× 69 0.4× 44 0.2× 47 1.7k
Maria Engström Sweden 32 738 2.4× 197 1.0× 320 1.7× 222 1.2× 33 0.2× 103 3.1k
François Molino France 22 234 0.8× 26 0.1× 161 0.8× 210 1.1× 87 0.5× 52 1.7k
Christian Kerskens Ireland 24 291 1.0× 79 0.4× 322 1.7× 157 0.8× 46 0.3× 59 1.8k
Ulf Johansson Sweden 18 181 0.6× 29 0.1× 184 1.0× 158 0.8× 86 0.5× 55 1.6k

Countries citing papers authored by T. Lancaster

Since Specialization
Citations

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

Fields of papers citing papers by T. Lancaster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of T. Lancaster. A scholar is included among the top collaborators of T. Lancaster 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. Lancaster. T. Lancaster 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.
Alleva, David G., Sylaja Murikipudi, T. Lancaster, et al.. (2024). An antigen-specific immunotherapeutic, AKS-107, deletes insulin-specific B cells and prevents murine autoimmune diabetes. Frontiers in Immunology. 15. 1367514–1367514. 6 indexed citations
3.
Merritt, Kate, Pedro Luque Laguna, Arjun Sethi, et al.. (2023). The impact of cumulative obstetric complications and childhood trauma on brain volume in young people with psychotic experiences. Molecular Psychiatry. 28(9). 3688–3697. 5 indexed citations
4.
Constantinides, Constantinos, Doretta Caramaschi, Laura K. M. Han, et al.. (2023). Assessing the association between global structural brain age and polygenic risk for schizophrenia in early adulthood: A recall-by-genotype study. Cortex. 172. 1–13. 3 indexed citations
5.
Lancaster, T., Byron Creese, Valentina Escott‐Price, et al.. (2023). Proof-of-concept recall-by-genotype study of extremely low and high Alzheimer’s polygenic risk reveals autobiographical deficits and cingulate cortex correlates. Alzheimer s Research & Therapy. 15(1). 213–213.
6.
Steventon, Jessica J., T. Lancaster, Matthew Bracher‐Smith, et al.. (2023). Menopause age, reproductive span and hormone therapy duration predict the volume of medial temporal lobe brain structures in postmenopausal women. Psychoneuroendocrinology. 158. 106393–106393. 6 indexed citations
7.
Lancaster, T., et al.. (2022). Tract-specific differences in white matter microstructure between young adult APOE ε4 carriers and non-carriers: A replication and extension study. SHILAP Revista de lepidopterología. 2(4). 100126–100126. 3 indexed citations
8.
Lancaster, T., Nina Roth Mota, Wolf Singer, et al.. (2021). Evidence From Imaging Resilience Genetics for a Protective Mechanism Against Schizophrenia in the Ventral Visual Pathway. Schizophrenia Bulletin. 48(3). 551–562. 6 indexed citations
9.
Hodgetts, Carl J., et al.. (2020). Polygenic risk for Alzheimer's disease shapes hippocampal scene-selectivity. Neuropsychopharmacology. 45(7). 1171–1178. 8 indexed citations
10.
Lancaster, T., et al.. (2020). Multimodal hippocampal and amygdala subfield volumetry in polygenic risk for Alzheimer's disease. Neurobiology of Aging. 98. 33–41. 12 indexed citations
11.
Koelewijn, Loes, T. Lancaster, David E.J. Linden, et al.. (2019). Oscillatory hyperactivity and hyperconnectivity in young APOE-ɛ4 carriers and hypoconnectivity in Alzheimer’s disease. eLife. 8. 104 indexed citations
12.
Wise, Richard G., et al.. (2019). Polygenic impact of common genetic risk loci for Alzheimer’s disease on cerebral blood flow in young individuals. Scientific Reports. 9(1). 467–467. 20 indexed citations
13.
Lancaster, T., Matthew Hill, Rebecca Sims, & Julie Williams. (2019). Microglia – mediated immunity partly contributes to the genetic association between Alzheimer’s disease and hippocampal volume. Brain Behavior and Immunity. 79. 267–273. 19 indexed citations
14.
Feige, Bernd, Christopher W. N. Saville, T. Lancaster, et al.. (2019). The impact of the COMT genotype and cognitive demands on facets of intra-subject variability. Brain and Cognition. 132. 72–79. 9 indexed citations
15.
Lancaster, T.. (2018). Evidence for association between familial bipolar risk and ventral striatal volume. Journal of Affective Disorders. 232. 69–72. 7 indexed citations
16.
Lancaster, T., Alison L. Baird, Claudia Wolf, et al.. (2011). Neural hyperactivation in carriers of the Alzheimer's risk variant on the clusterin gene. European Neuropsychopharmacology. 21(12). 880–884. 35 indexed citations
17.
Holzapfel, Michael, S. de Brion, Céline Darie, et al.. (2008). LiNiO 2 の軌道秩序および磁気秩序に及ぼすマグネシウムドーピングの効果. Physical Review B. 78(10). 1–104409. 5 indexed citations
18.
Drew, Alan J., F. L. Pratt, T. Lancaster, et al.. (2008). Coexistence of magnetism and superconductivity in the pnictide high temperature superconductor SmO$_{0.82}$F$_{0.18}$FeAs measured by muon spin rotation. arXiv (Cornell University). 2 indexed citations
19.
Baker, Peter J., et al.. (2008). FeAsとFeAs 2 における特徴的なミュー粒子歳差および緩和信号:ニクタイド超伝導体の可能な不純物相. Physical Review B. 78(21). 1–212501. 6 indexed citations
20.
Lancaster, T., S. J. Blundell, Daniel Andreica, et al.. (2007). Magnetism in Geometrically FrustratedYMnO3under Hydrostatic Pressure Studied with Muon Spin Relaxation. Physical Review Letters. 98(19). 197203–197203. 22 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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