T. Lancaster

3.0k citations
72 papers · 1.2k · h-index 20

Impact in

Papers in

    • Genetic Associations and Epidemiology 18
    • Functional Brain Connectivity Studies 18
    • Neural and Behavioral Psychology Studies 5

T. Lancaster

70 papers receiving 1.2k citations

Peers

T. Lancaster
Comparison fields: 5 of 125
  • Cognitive Neuroscience 306
  • Psychiatry and Mental health 194
  • Condensed Matter Physics 135
  • Biological Psychiatry 24
  • Electronic, Optical and Magnetic Materials 169
Replace Huijun Tian with:
Huijun Tian United States
Maria Engström Sweden
Kirsten M. Scott United Kingdom
Megumi Kobayashi Japan
Kjell Heuser Norway
Therése Eriksson Sweden
D. Fischer Germany
Magdalena Chmielowska Poland
A. Ichimiya Japan
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Citations per field
00.5×4.6×
Huijun Tian · 1×
Citations per year

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-authors

The 25 scholars most cited alongside T. Lancaster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Lancaster Line = papers co-authored together T. Lancaster links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019104
2 200679
3 200569
4 201664
5 200654
6 201237
7 201135
8 201534
9 199830
10 201430
11 200529
12 201526
13 200524
14 201423
15 201823
16 200722
17 201822
18 201920
19 201420
20 201919

About T. Lancaster

T. Lancaster is a scholar working on Genetics, Cognitive Neuroscience, Psychiatry and Mental health, Physiology and Condensed Matter Physics, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (18 papers), Functional Brain Connectivity Studies (18 papers), Alzheimer's disease research and treatments (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Advanced Condensed Matter Physics (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Neural and Behavioral Psychology Studies (5 papers) and Physics of Superconductivity and Magnetism (5 papers). The work is most often cited by research in Cognitive Neuroscience (306 citations), Psychiatry and Mental health (194 citations), Condensed Matter Physics (135 citations), Biological Psychiatry (24 citations) and Electronic, Optical and Magnetic Materials (169 citations). T. Lancaster has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include David E.J. Linden, F. L. Pratt, Jackie Y. Ying, Katherine E. Tansey, C. Baines, Erin A. Heerey, Stephen J. Blundell, Lisa M. Brindley, Kiran K. Mantripragada and Peter J. Baker. Their work appears in journals such as Physical Review B, Physica B Condensed Matter, Schizophrenia Bulletin, Translational Psychiatry and Genes Brain & Behavior.

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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