Arne N. Akbar

23.5k total citations · 4 hit papers
209 papers, 17.5k citations indexed

About

Arne N. Akbar is a scholar working on Immunology, Epidemiology and Physiology. According to data from OpenAlex, Arne N. Akbar has authored 209 papers receiving a total of 17.5k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Immunology, 60 papers in Epidemiology and 38 papers in Physiology. Recurrent topics in Arne N. Akbar's work include T-cell and B-cell Immunology (101 papers), Immune Cell Function and Interaction (84 papers) and Immunotherapy and Immune Responses (63 papers). Arne N. Akbar is often cited by papers focused on T-cell and B-cell Immunology (101 papers), Immune Cell Function and Interaction (84 papers) and Immunotherapy and Immune Responses (63 papers). Arne N. Akbar collaborates with scholars based in United Kingdom, United States and Canada. Arne N. Akbar's co-authors include Siân M. Henson, Mike Salmon, George Janossy, Darrell Pilling, Milica Vukmanovic‐Stejic, Peter C. L. Beverley, Leonie S. Taams, Janet M. Lord, Malcolm H.A. Rustin and Nicola Borthwick and has published in prestigious journals such as Nature, Science and Journal of Clinical Investigation.

In The Last Decade

Arne N. Akbar

203 papers receiving 17.2k citations

Hit Papers

Loss of CD45R and gain of... 1988 2026 2000 2013 1988 2001 2019 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arne N. Akbar United Kingdom 75 11.1k 3.6k 3.0k 2.6k 2.3k 209 17.5k
Yong-Jun Liu United States 70 19.6k 1.8× 2.6k 0.7× 3.9k 1.3× 2.8k 1.0× 3.2k 1.4× 208 28.1k
Francesco Annunziato Italy 67 10.8k 1.0× 1.8k 0.5× 3.3k 1.1× 3.4k 1.3× 2.3k 1.0× 209 18.9k
Jon D. Laman Netherlands 66 7.6k 0.7× 1.9k 0.5× 3.6k 1.2× 1.4k 0.5× 2.1k 0.9× 241 15.9k
Kevin W. Moore United States 51 11.4k 1.0× 3.2k 0.9× 3.7k 1.2× 3.8k 1.5× 1.3k 0.6× 98 20.0k
Donna L. Färber United States 62 12.5k 1.1× 2.6k 0.7× 2.3k 0.8× 2.1k 0.8× 1.4k 0.6× 174 16.8k
Marco A. Cassatella Italy 75 13.6k 1.2× 2.1k 0.6× 5.2k 1.7× 3.6k 1.4× 2.3k 1.0× 240 21.7k
Michael Croft United States 69 12.9k 1.2× 1.6k 0.5× 2.5k 0.8× 3.3k 1.3× 1.7k 0.7× 206 16.9k
Tim Sparwasser Germany 73 14.7k 1.3× 2.2k 0.6× 4.5k 1.5× 3.0k 1.1× 1.3k 0.6× 236 20.7k
Barrett J. Rollins United States 71 10.8k 1.0× 2.3k 0.6× 6.0k 2.0× 8.0k 3.0× 2.3k 1.0× 126 23.0k
Luciano Adorini Italy 80 10.8k 1.0× 4.4k 1.2× 4.8k 1.6× 4.3k 1.6× 1.9k 0.8× 338 24.8k

Countries citing papers authored by Arne N. Akbar

Since Specialization
Citations

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

Fields of papers citing papers by Arne N. Akbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arne N. Akbar. 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 Arne N. Akbar. The network helps show where Arne N. Akbar may publish in the future.

Co-authorship network of co-authors of Arne N. Akbar

This figure shows the co-authorship network connecting the top 25 collaborators of Arne N. Akbar. A scholar is included among the top collaborators of Arne N. Akbar 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 Arne N. Akbar. Arne N. Akbar 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.
Leandro, Maria, Mark S. Cragg, Florian Kollert, et al.. (2024). P179 CD19hi B cells express T-bet and display activated metabolism and function in rheumatoid arthritis and systemic lupus erythematosus patient samples. Lara D. Veeken. 63(Supplement_1). 1 indexed citations
2.
Klein, Christian, Geraldine Cambridge, Debajit Sen, et al.. (2023). P167 Overcoming rituximab resistance in autoimmune disease: back to basics. Lara D. Veeken. 62(Supplement_2). 2 indexed citations
3.
Shah, K. V., Christian Klein, Geraldine Cambridge, et al.. (2023). AB0017 HOW DO B CELLS EVADE RITUXIMAB THERAPY IN AUTOIMMUNITY; IS IT TIME TO TARGET THE CD19+CD20- B CELLS?. Annals of the Rheumatic Diseases. 82. 1187–1187. 1 indexed citations
4.
Pateras, Ioannis S., Morten Hansen, Océane Martin, et al.. (2021). Bacterial genotoxins induce T cell senescence. Cell Reports. 35(10). 109220–109220. 35 indexed citations
5.
Chambers, Emma S. & Arne N. Akbar. (2020). Can blocking inflammation enhance immunity during aging?. Journal of Allergy and Clinical Immunology. 145(5). 1323–1331. 63 indexed citations
6.
Maeyer, Roel P. H. De, Olivia V. Bracken, Oliver Devine, et al.. (2020). Blocking elevated p38 MAPK restores efferocytosis and inflammatory resolution in the elderly. Nature Immunology. 21(6). 615–625. 128 indexed citations
7.
Callender, Lauren A., et al.. (2019). Mitochondrial mass governs the extent of human T cell senescence. Aging Cell. 19(2). e13067–e13067. 120 indexed citations
8.
Vukmanovic‐Stejic, Milica, Emma S. Chambers, Mayte Suárez‐Fariñas, et al.. (2017). Enhancement of cutaneous immunity during aging by blocking p38 mitogen-activated protein (MAP) kinase–induced inflammation. Journal of Allergy and Clinical Immunology. 142(3). 844–856. 79 indexed citations
9.
Lachmann, Raskit, Serena Vita, Helen Smith, et al.. (2011). Polyfunctional T Cells Accumulate in Large Human Cytomegalovirus-Specific T Cell Responses. Journal of Virology. 86(2). 1001–1009. 81 indexed citations
10.
Mitri, Diletta Di, Rita I Azevedo, Siân M. Henson, et al.. (2011). Reversible Senescence in Human CD4+CD45RA+CD27− Memory T Cells. The Journal of Immunology. 187(5). 2093–2100. 183 indexed citations
11.
Agius, Elaine, Milica Vukmanovic‐Stejic, Katie E. Lacy, et al.. (2010). A defect of varicella-zoster-specific CD4+T-cell Infiltration after cutaneous antigen challenge in ageing. UCL Discovery (University College London). 1 indexed citations
12.
Lydyard, Peter M., Amit Nathwani, Vincent C. Emery, et al.. (2009). Patients with B cell chronic lymphocytic leukaemia have an expanded population of CD4+ perforin expressing T cells enriched for human cytomegalovirus specificity and an effector‐memory phenotype. British Journal of Haematology. 148(2). 274–284. 11 indexed citations
13.
Raza, Karim, John Curnow, Emma Ross, et al.. (2005). Very early rheumatoid arthritis is characterised by a unique and transient T cell and stromal cytokine profile. Lara D. Veeken. 43.
14.
Plunkett, Fiona J., Ornella Franzese, Jean M. Fletcher, et al.. (2005). The impact of telomere erosion on memory CD8+ T cells in patients with X-linked lymphoproliferative syndrome. Mechanisms of Ageing and Development. 126(8). 855–865. 62 indexed citations
15.
Akbar, Arne N., et al.. (2004). Opinion - Will telomere erosion lead to a loss of T-cell memory?. UCL Discovery (University College London). 2 indexed citations
17.
Akbar, Arne N., et al.. (1997). Cellular environments and apoptosis: tissue microenvironments control activated T-cell death. Immunology Today. 18(2). 72–76. 189 indexed citations
18.
Borthwick, Nicola, Margarita Bofill, Wendy M. Gombert, et al.. (1994). Lymphocyte activation in HIV-1 infection. II. Functional defects of CD28− T cells. AIDS. 8(4). 431–442. 180 indexed citations
19.
Matthews, Nick C., Paul Emery, Darrell Pilling, Arne N. Akbar, & Mike Salmon. (1993). Subpopulations of primed t helper cells in rheumatoid arthritis. Arthritis & Rheumatism. 36(5). 603–607. 42 indexed citations
20.
Hamblin, Terry J., et al.. (1983). Immunological reason for chronic ill health after infectious mononucleosis.. BMJ. 287(6385). 85–88. 42 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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