David G. Millar

425 citations
17 papers · 217 · h-index 9

Impact in

    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Immunodeficiency and Autoimmune Disorders 2
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • CAR-T cell therapy research 3

David G. Millar

17 papers receiving 195 citations

Peers

David G. Millar
Comparison fields: 5 of 55
  • Neurology 48
  • Immunology 53
  • Clinical Psychology 29
  • Psychiatry and Mental health 19
  • Experimental and Cognitive Psychology 17
Replace Christopher A. Chow with:
Christopher A. Chow United States
Francis Dowling United Kingdom
D Golan United States
Walter Neri Italy
Orlando Garcea Argentina
Lesley Baker United Kingdom
Makiko Nakagawa Japan
B. E. Jones United Kingdom
Jarmila Szilasiová Slovakia
Takashi Miyagi Japan
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Citations per field
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Citations per year

Countries citing papers authored by David G. Millar

Since Specialization
Citations

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

Fields of papers citing papers by David G. Millar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Millar. 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 David G. Millar. The network helps show where David G. Millar may publish in the future.

Co-authors

The 25 scholars most cited alongside David G. Millar, 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 David G. Millar Line = papers co-authored together David G. Millar links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200551
2 200624
3 200322
4 202221
5 201319
6 201615
7 198315
8 20249
9 19689
10 19807
11 19816
12 20196
13
Health centres and excellent medicine--a patient survey.
19725
14 19705
15 20191
16 19621
17 20131

About David G. Millar

David G. Millar is a scholar working on Immunology, Oncology, Clinical Psychology, Epidemiology and Pharmacology, having authored 17 papers that have together received 217 indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Acute Myeloid Leukemia Research (1 paper), Alzheimer's disease research and treatments (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Healthcare Policy and Management (1 paper). The work is most often cited by research in Neurology (48 citations), Immunology (53 citations), Clinical Psychology (29 citations), Psychiatry and Mental health (19 citations) and Experimental and Cognitive Psychology (17 citations). David G. Millar has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include David J. Burn, Adam Zermansky, Mark Cobbold, Richard G. Brown, Evan G. Robertson, Rachael A. Lawson, James Heather, B N Littlepage, JaneMaree Maher and Stephen Barclay. Their work appears in journals such as The Lancet, JCI Insight, Movement Disorders, Nucleic Acids Research and Blood.

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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