Sabelo Lukhele

743 total citations
10 papers, 513 citations indexed

About

Sabelo Lukhele is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Sabelo Lukhele has authored 10 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Sabelo Lukhele's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers) and HIV Research and Treatment (3 papers). Sabelo Lukhele is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers) and HIV Research and Treatment (3 papers). Sabelo Lukhele collaborates with scholars based in Canada, United States and Sweden. Sabelo Lukhele's co-authors include David G. Brooks, Giselle M. Boukhaled, Éric A. Cohen, Tram N. Q. Pham, Jean‐Pierre Routy, Fadi Hajjar, Alaji Bah, Hong Lin, Julie D. Forman‐Kay and Nahum Sonenberg and has published in prestigious journals such as Immunity, Nature Immunology and Cancer Cell.

In The Last Decade

Sabelo Lukhele

10 papers receiving 509 citations

Peers

Sabelo Lukhele

IMMUN

MB

ONCOL

VIROL

ID

Awatef Allouch France

John A. Wrobel United States

Jean-Philippe Belzile Canada

Marc Permanyer Germany

Teresa Laı́n de Lera Spain

Matthew Woods Canada

Jeongmin Ryoo South Korea

Stefan Petkov Sweden

Marie Duhamel France

Elisa Palumbo Italy

Awatef Allouch France

Sabelo Lukhele

197 ×0.7

IMMUN

231 ×1.1

MB

97 ×0.8

ONCOL

249 ×2.2

VIROL

169 ×2.4

ID

Citations per year, relative to Sabelo Lukhele Sabelo Lukhele (= 1×) peers Awatef Allouch

Countries citing papers authored by Sabelo Lukhele

Since Specialization

Citations

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

Fields of papers citing papers by Sabelo Lukhele

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabelo Lukhele

This figure shows the co-authorship network connecting the top 25 collaborators of Sabelo Lukhele. A scholar is included among the top collaborators of Sabelo Lukhele 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 Sabelo Lukhele. Sabelo Lukhele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Lamorte, Sara, Rene Quevedo, Robbie Jin, et al.. (2025). Lymph node macrophages drive immune tolerance and resistance to cancer therapy by induction of the immune-regulatory cytokine IL-33. Cancer Cell. 43(5). 955–969.e10. 9 indexed citations

2.

Guo, Mengdi, Diala Abd-Rabbo, Sabelo Lukhele, et al.. (2023). Molecular, metabolic, and functional CD4 T cell paralysis in the lymph node impedes tumor control. Cell Reports. 42(9). 113047–113047. 8 indexed citations

3.

Lukhele, Sabelo, Mengdi Guo, Jian Shen, et al.. (2022). The transcription factor IRF2 drives interferon-mediated CD8+ T cell exhaustion to restrict anti-tumor immunity. Immunity. 55(12). 2369–2385.e10. 67 indexed citations

4.

Snell, Laura M., Wenxi Xu, Diala Abd-Rabbo, et al.. (2021). Dynamic CD4+ T cell heterogeneity defines subset-specific suppression and PD-L1-blockade-driven functional restoration in chronic infection. Nature Immunology. 22(12). 1524–1537. 28 indexed citations

5.

Gadalla, Ramy, Babak Noamani, Bethany MacLeod, et al.. (2019). Validation of CyTOF Against Flow Cytometry for Immunological Studies and Monitoring of Human Cancer Clinical Trials. Frontiers in Oncology. 9. 415–415. 110 indexed citations

6.

Lukhele, Sabelo, Giselle M. Boukhaled, & David G. Brooks. (2019). Type I interferon signaling, regulation and gene stimulation in chronic virus infection. Seminars in Immunology. 43. 101277–101277. 102 indexed citations

7.

Lukhele, Sabelo & Éric A. Cohen. (2017). Conserved residues within the HIV-1 Vpu transmembrane-proximal hinge region modulate BST2 binding and antagonism. Retrovirology. 14(1). 18–18. 5 indexed citations

8.

Pham, Tram N. Q., Sabelo Lukhele, Frédéric Dallaire, Gabrielle Perron, & Éric A. Cohen. (2016). Enhancing Virion Tethering by BST2 Sensitizes Productively and Latently HIV-infected T cells to ADCC Mediated by Broadly Neutralizing Antibodies. Scientific Reports. 6(1). 37225–37225. 18 indexed citations

9.

Pham, Tram N. Q., Sabelo Lukhele, Fadi Hajjar, Jean‐Pierre Routy, & Éric A. Cohen. (2014). HIV Nef and Vpu protect HIV-infected CD4+ T cells from antibody-mediated cell lysis through down-modulation of CD4 and BST2. Retrovirology. 11(1). 15–15. 99 indexed citations

10.

Lukhele, Sabelo, Alaji Bah, Hong Lin, Nahum Sonenberg, & Julie D. Forman‐Kay. (2013). Interaction of the Eukaryotic Initiation Factor 4E with 4E-BP2 at a Dynamic Bipartite Interface. Structure. 21(12). 2186–2196. 67 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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