Alastair Copland

1.2k total citations · 1 hit paper
24 papers, 951 citations indexed

About

Alastair Copland is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Alastair Copland has authored 24 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 6 papers in Molecular Biology and 5 papers in Infectious Diseases. Recurrent topics in Alastair Copland's work include Immune Cell Function and Interaction (6 papers), Protein Structure and Dynamics (3 papers) and Tuberculosis Research and Epidemiology (3 papers). Alastair Copland is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Protein Structure and Dynamics (3 papers) and Tuberculosis Research and Epidemiology (3 papers). Alastair Copland collaborates with scholars based in United Kingdom, Japan and United States. Alastair Copland's co-authors include Louise C. Serpell, Manuela López de la Paz, Frédéric Rousseau, Kyle L. Morris, Joke Reumers, Luís Serrano, Ivo C. Martins, Sebastian Maurer‐Stroh, Joost Schymkowitz and Maja Debulpaep and has published in prestigious journals such as Immunity, Biochemistry and Nature Methods.

In The Last Decade

Alastair Copland

23 papers receiving 943 citations

Hit Papers

Exploring the sequence determinants of amyloid structure ... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alastair Copland United Kingdom 13 602 251 185 112 88 24 951
Andrea Vera Spain 14 633 1.1× 100 0.4× 311 1.7× 40 0.4× 91 1.0× 32 1.1k
S.D. Weeks Belgium 23 1.4k 2.3× 75 0.3× 144 0.8× 118 1.1× 197 2.2× 47 1.7k
Kerstin Reiß Germany 15 450 0.7× 93 0.4× 74 0.4× 202 1.8× 76 0.9× 16 797
Thomas Wollert France 14 1.4k 2.3× 239 1.0× 208 1.1× 91 0.8× 22 0.3× 26 2.1k
Jonathan D. Taylor United Kingdom 15 542 0.9× 221 0.9× 41 0.2× 63 0.6× 37 0.4× 18 755
Nobuo Maita Japan 20 937 1.6× 110 0.4× 145 0.8× 142 1.3× 89 1.0× 41 1.6k
Lynne J. Lawrence Australia 15 479 0.8× 214 0.9× 77 0.4× 85 0.8× 39 0.4× 18 866
Mohammad M. Pourseif Iran 18 621 1.0× 36 0.1× 159 0.9× 142 1.3× 30 0.3× 35 1.1k
Wiesław Świętnicki United States 20 1.9k 3.2× 217 0.9× 40 0.2× 130 1.2× 199 2.3× 32 2.2k
Alexis Lamiable France 8 660 1.1× 26 0.1× 126 0.7× 92 0.8× 35 0.4× 10 855

Countries citing papers authored by Alastair Copland

Since Specialization
Citations

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

Fields of papers citing papers by Alastair Copland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alastair Copland

This figure shows the co-authorship network connecting the top 25 collaborators of Alastair Copland. A scholar is included among the top collaborators of Alastair Copland 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 Alastair Copland. Alastair Copland 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.
3.
Copland, Alastair, Elizabeth Jinks, Nancy Gudgeon, et al.. (2024). Salmonella cancer therapy metabolically disrupts tumours at the collateral cost of T cell immunity. EMBO Molecular Medicine. 16(12). 3057–3088. 6 indexed citations
4.
Sheriff, Lozan, et al.. (2024). Lag3 and PD-1 pathways preferentially regulate NFAT-dependent TCR signalling programmes during early CD4+ T cell activation. PubMed. 5(1). ltaf015–ltaf015. 1 indexed citations
5.
Sheriff, Lozan, Alastair Copland, & David Bending. (2023). T cell biomarkers come to the fore in cancer immunotherapy. Cell Reports Medicine. 4(4). 100989–100989. 1 indexed citations
6.
Copland, Alastair, Masumi Takahashi, Yumiko Nakanishi, et al.. (2021). Bacterial cancer therapy in autochthonous colorectal cancer affects tumor growth and metabolic landscape. JCI Insight. 6(23). 9 indexed citations
7.
Flores‐Langarica, Adriana, et al.. (2021). Antigen and checkpoint receptor engagement recalibrates T cell receptor signal strength. Immunity. 54(11). 2481–2496.e6. 38 indexed citations
8.
Paul, Matthew J., Alastair Copland, Peter Hart, et al.. (2020). Mucosal Therapy of Multi-Drug Resistant Tuberculosis With IgA and Interferon-γ. Frontiers in Immunology. 11. 582833–582833. 18 indexed citations
10.
Copland, Alastair, et al.. (2019). Bacillus Calmette-Guérin Induces PD-L1 Expression on Antigen-Presenting Cells via Autocrine and Paracrine Interleukin-STAT3 Circuits. Scientific Reports. 9(1). 3655–3655. 25 indexed citations
11.
Hart, Peter, Alastair Copland, Miyoung Kim, et al.. (2019). Immunization With Mycobacterium tuberculosis Antigens Encapsulated in Phosphatidylserine Liposomes Improves Protection Afforded by BCG. Frontiers in Immunology. 10. 1349–1349. 20 indexed citations
12.
Copland, Alastair & David Bending. (2018). Foxp3 Molecular Dynamics in Treg in Juvenile Idiopathic Arthritis. Frontiers in Immunology. 9. 2273–2273. 10 indexed citations
13.
Copland, Alastair, Peter Hart, Matthew J. Paul, et al.. (2018). Mucosal Delivery of Fusion Proteins with Bacillus subtilis Spores Enhances Protection against Tuberculosis by Bacillus Calmette-Guérin. Frontiers in Immunology. 9. 346–346. 46 indexed citations
14.
Dolleweerd, Craig J. van, Mi‐Young Kim, Audrey Y‐H. Teh, et al.. (2018). A polymeric immunoglobulin—antigen fusion protein strategy for enhancing vaccine immunogenicity. Plant Biotechnology Journal. 16(12). 1983–1996. 14 indexed citations
15.
Paul, Matthew J., Alastair Copland, P. John Hart, et al.. (2017). Murine IL-4Δ2 splice variant down-regulates IL-4 activities independently of IL-4Rα binding and STAT-6 phosphorylation. Cytokine. 99. 154–162. 3 indexed citations
16.
Hart, Peter, Alastair Copland, Ralf Spallek, et al.. (2017). Nanoparticle-Fusion Protein Complexes Protect against Mycobacterium tuberculosis Infection. Molecular Therapy. 26(3). 822–833. 32 indexed citations
17.
Stephenson, Holly, Dominic C. Mills, Hannah Jones, et al.. (2014). Pseudaminic Acid on Campylobacter jejuni Flagella Modulates Dendritic Cell IL-10 Expression via Siglec-10 Receptor: A Novel Flagellin-Host Interaction. The Journal of Infectious Diseases. 210(9). 1487–1498. 64 indexed citations
18.
Jones, Hannah E., Alastair Copland, Hendrik Jan Hamstra, et al.. (2013). LOSoligosaccharide modification enhances dendritic cell responses to meningococcal native outer membrane vesicles expressing a non‐toxic lipidA. Cellular Microbiology. 16(4). 519–534. 11 indexed citations
19.
Maurer‐Stroh, Sebastian, Maja Debulpaep, Manuela López de la Paz, et al.. (2010). Exploring the sequence determinants of amyloid structure using position-specific scoring matrices. Nature Methods. 7(3). 237–242. 547 indexed citations breakdown →
20.
Maurer‐Stroh, Sebastian, Maja Debulpaep, Manuela López de la Paz, et al.. (2010). Addendum: Exploring the sequence determinants of amyloid structure using position-specific scoring matrices. Nature Methods. 7(10). 855–857. 1 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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