S. Horsefield

747 total citations
3 papers, 146 citations indexed

About

S. Horsefield is a scholar working on Immunology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, S. Horsefield has authored 3 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Immunology, 1 paper in Genetics and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in S. Horsefield's work include Viral Infections and Immunology Research (1 paper), Herpesvirus Infections and Treatments (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). S. Horsefield is often cited by papers focused on Viral Infections and Immunology Research (1 paper), Herpesvirus Infections and Treatments (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). S. Horsefield collaborates with scholars based in Australia and United States. S. Horsefield's co-authors include Edward H. Egelman, Ashley Mansell, Emma Sierecki, Xiong Yu, Mehdi Mobli, Tristan I. Croll, Thomas Ve, Michael J. Landsberg, Boštjan Kobe and Ailís O’Carroll and has published in prestigious journals such as Nature Structural & Molecular Biology, PLoS Pathogens and Journal for ImmunoTherapy of Cancer.

In The Last Decade

S. Horsefield

3 papers receiving 145 citations

Peers

S. Horsefield
Andrew Kim United States
Andrea Löhr United States
Denise Jurczyszak United States
Quy Nguyen United States
Eric Wilson United States
Jason Yeung United States
S. Horsefield
Citations per year, relative to S. Horsefield S. Horsefield (= 1×) peers Ailís O’Carroll

Countries citing papers authored by S. Horsefield

Since Specialization
Citations

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

Fields of papers citing papers by S. Horsefield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Horsefield

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

All Works

3 of 3 papers shown
1.
Martins, José Paulo, Rochelle C. J. D’Souza, Lea Lekieffre, et al.. (2024). EphA3 CAR T cells are effective against glioblastoma in preclinical models. Journal for ImmunoTherapy of Cancer. 12(8). e009403–e009403. 8 indexed citations
2.
Dasari, Vijayendra, et al.. (2022). A bivalent CMV vaccine formulated with human compatible TLR9 agonist CpG1018 elicits potent cellular and humoral immunity in HLA expressing mice. PLoS Pathogens. 18(6). e1010403–e1010403. 6 indexed citations
3.
Ve, Thomas, Parimala R. Vajjhala, Tristan I. Croll, et al.. (2017). Structural basis of TIR-domain-assembly formation in MAL- and MyD88-dependent TLR4 signaling. Nature Structural & Molecular Biology. 24(9). 743–751. 132 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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2026