Alasdair Leslie

17.4k total citations
67 papers, 3.2k citations indexed

About

Alasdair Leslie is a scholar working on Immunology, Virology and Infectious Diseases. According to data from OpenAlex, Alasdair Leslie has authored 67 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Immunology, 31 papers in Virology and 25 papers in Infectious Diseases. Recurrent topics in Alasdair Leslie's work include HIV Research and Treatment (31 papers), Immune Cell Function and Interaction (30 papers) and T-cell and B-cell Immunology (17 papers). Alasdair Leslie is often cited by papers focused on HIV Research and Treatment (31 papers), Immune Cell Function and Interaction (30 papers) and T-cell and B-cell Immunology (17 papers). Alasdair Leslie collaborates with scholars based in South Africa, United Kingdom and United States. Alasdair Leslie's co-authors include Bruce D. Walker, Philip Goulder, Shepherd Nhamoyebonde, Hayley Crawford, Christian Brander, Thumbi Ndung’u, Photini Kiepiela, Amanda Ardain, Henrik N. Kløverpris and James I. Mullins and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Alasdair Leslie

64 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alasdair Leslie South Africa 27 2.0k 1.5k 1.0k 591 541 67 3.2k
Roberto F. Speck Switzerland 32 1.6k 0.8× 1.5k 1.0× 1.1k 1.1× 612 1.0× 874 1.6× 119 3.5k
Heribert Stoiber Austria 36 2.0k 1.0× 1.6k 1.0× 894 0.9× 570 1.0× 921 1.7× 119 3.6k
Scott F. Sieg United States 36 2.6k 1.3× 2.7k 1.8× 1.4k 1.3× 962 1.6× 1.3k 2.5× 111 5.4k
Amir Horowitz United States 29 2.5k 1.3× 938 0.6× 571 0.5× 492 0.8× 595 1.1× 66 3.5k
Martin Tolstrup Denmark 33 1.1k 0.6× 2.1k 1.4× 1.8k 1.7× 802 1.4× 739 1.4× 108 3.6k
David M. Asmuth United States 29 907 0.5× 1.5k 1.0× 1.0k 1.0× 468 0.8× 924 1.7× 77 3.1k
Sigrid A. Otto Netherlands 29 3.1k 1.6× 2.6k 1.7× 1.1k 1.1× 504 0.9× 1.1k 2.1× 55 4.8k
Stylianos Bournazos United States 32 2.6k 1.3× 987 0.6× 1.3k 1.2× 1.5k 2.5× 701 1.3× 55 4.9k
Joseph W. Adelsberger United States 34 2.6k 1.3× 3.0k 2.0× 1.5k 1.5× 491 0.8× 1.1k 2.0× 59 4.6k
Paul W. Denton United States 28 1.5k 0.8× 2.2k 1.4× 1.5k 1.4× 480 0.8× 657 1.2× 62 3.5k

Countries citing papers authored by Alasdair Leslie

Since Specialization
Citations

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

Fields of papers citing papers by Alasdair Leslie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alasdair Leslie

This figure shows the co-authorship network connecting the top 25 collaborators of Alasdair Leslie. A scholar is included among the top collaborators of Alasdair Leslie 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 Alasdair Leslie. Alasdair Leslie 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.
Kleinhenz, Michael D., Andrew Curtis, Abbie V. Viscardi, et al.. (2025). Comparison of multiple drug regimens for reduction of synovitis-induced lameness pain in meat-type goats. American Journal of Veterinary Research. 86(10).
2.
Tezera, Liku B., Andrés F. Vallejo, Salah Mansour, et al.. (2025). A co-evolutionary perspective on humans and Mycobacterium tuberculosis in the era of systems biology. eLife. 14.
3.
Walker, Naomi F., Farina Karim, Matilda Mazibuko, et al.. (2022). Elevated Plasma Matrix Metalloproteinase 8 Associates With Sputum Culture Positivity in Pulmonary Tuberculosis. The Journal of Infectious Diseases. 226(5). 928–932. 6 indexed citations
4.
Ahmed, Mohamed I. M., Jared S. Mackenzie, Liku B. Tezera, et al.. (2022). Mycobacterium tuberculosis senses host Interferon-γ via the membrane protein MmpL10. Communications Biology. 5(1). 1317–1317. 11 indexed citations
5.
Tezera, Liku B., Andrés F. Vallejo, Milica Vukmirovic, et al.. (2021). Integrated transcriptomic analysis of human tuberculosis granulomas and a biomimetic model identifies therapeutic targets. Journal of Clinical Investigation. 131(15). 22 indexed citations
6.
Singh, Alveera, Kavidha Reddy, Ntombifuthi Mthabela, et al.. (2021). Irreversible depletion of intestinal CD4+ T cells is associated with T cell activation during chronic HIV infection. JCI Insight. 6(22). 15 indexed citations
7.
Nyquist, Sarah K., Alveera Singh, Ian Mbano, et al.. (2021). HIV infection drives interferon signaling within intestinal SARS-CoV-2 target cells. JCI Insight. 6(16). 5 indexed citations
8.
Tezera, Liku B., Magdalena K. Bielecka, Paul Ogongo, et al.. (2020). Anti-PD-1 immunotherapy leads to tuberculosis reactivation via dysregulation of TNF-α. eLife. 9. 89 indexed citations
9.
10.
Khatamzas, Elham, M. Hipp, Tica Pichulik, et al.. (2017). Snapin promotes HIV ‐1 transmission from dendritic cells by dampening TLR 8 signaling. The EMBO Journal. 36(20). 2998–3011. 14 indexed citations
11.
Muenchhoff, Maximilian, Michael D. Healy, Ravesh Singh, et al.. (2017). Malnutrition in HIV-Infected Children Is an Indicator of Severe Disease with an Impaired Response to Antiretroviral Therapy. AIDS Research and Human Retroviruses. 34(1). 46–55. 37 indexed citations
12.
Kløverpris, Henrik N., Warren Kuhn, Duran Ramsuran, et al.. (2014). Innate Lymphoid Cells Are Depleted in HIV Infection. AIDS Research and Human Retroviruses. 30(S1). A14–A14. 3 indexed citations
13.
Cheng, Xiaoxiao, Václav Veverka, Anand Radhakrishnan, et al.. (2013). Structure and Interactions of the Human Programmed Cell Death 1 Receptor. Journal of Biological Chemistry. 288(17). 11771–11785. 263 indexed citations
14.
Kløverpris, Henrik N., Anette Stryhn, Mikkel Harndahl, et al.. (2013). HLA-A*68. AIDS. 27(11). 1717–1723. 6 indexed citations
15.
Brain, Oliver, Benjamin M. J. Owens, Tica Pichulik, et al.. (2013). The Intracellular Sensor NOD2 Induces MicroRNA-29 Expression in Human Dendritic Cells to Limit IL-23 Release. Immunity. 39(3). 521–536. 155 indexed citations
16.
Leslie, Alasdair, Tica Pichulik, Elham Khatamzas, et al.. (2011). Early Phosphorylation Events Induced in Dendritic Cells by the HIV Derived TLR8 Ligand ssRNA40. AIDS Research and Human Retroviruses. 27. 1 indexed citations
17.
18.
Leslie, Alasdair, David A. Price, Karen Bishop, et al.. (2006). Differential Selection Pressure Exerted on HIV by CTL Targeting Identical Epitopes but Restricted by Distinct HLA Alleles from the Same HLA Supertype. The Journal of Immunology. 177(7). 4699–4708. 68 indexed citations
19.
Leslie, Alasdair, et al.. (2006). Differential selection pressure exerted on HIV by CTL targeting identical epitopes but restricted by distinct HLA alleles from the same HLA supertype. The Journal of Immunology. 177(12). 8878–8878. 2 indexed citations
20.
Leslie, Alasdair, David A. Price, Karen Bishop, et al.. (2006). Differential selection pressure exerted on HIV by CTL targeting identical epitopes but restricted by distinct HLA alleles from the same HLA supertype. (vol 177, pg 4699, 2006). The Journal of Immunology. 177. 8878–8878. 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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