S. Horsefield

15 total papers · 733 total citations
3 papers, 145 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 145 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 CAR-T cell therapy research (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Immune Response and Inflammation (1 paper). S. Horsefield is often cited by papers focused on CAR-T cell therapy research (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Immune Response and Inflammation (1 paper). S. Horsefield collaborates with scholars based in Australia and United States. S. Horsefield's co-authors include Parimala R. Vajjhala, Boštjan Kobe, Tristan I. Croll, Mehdi Mobli, Frank DiMaio, Xiong Yu, Ailís O’Carroll, Thomas Ve, Michael J. Landsberg and Katryn J. Stacey 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 144 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. Horsefield 92 51 21 18 15 3 145
Sabrina Di Marco 91 1.0× 90 1.8× 25 1.2× 21 1.2× 14 0.9× 4 223
Andrea Löhr 36 0.4× 66 1.3× 12 0.6× 18 1.0× 10 0.7× 4 124
Gilles Pagès 69 0.8× 104 2.0× 61 2.9× 21 1.2× 8 0.5× 5 192
Haoyun Tang 29 0.3× 97 1.9× 18 0.9× 20 1.1× 12 0.8× 4 240
Melina Herman 93 1.0× 60 1.2× 48 2.3× 16 0.9× 5 0.3× 2 168
Denise Jurczyszak 44 0.5× 68 1.3× 14 0.7× 22 1.2× 4 0.3× 5 128
Karin Santoni 69 0.8× 108 2.1× 28 1.3× 7 0.4× 5 0.3× 5 157
Jens Friis-Nielsen 42 0.5× 58 1.1× 25 1.2× 5 0.3× 11 0.7× 4 167
Oliver von Kampen 101 1.1× 131 2.6× 22 1.0× 21 1.2× 5 0.3× 5 235
Friederike Reuner 184 2.0× 57 1.1× 30 1.4× 16 0.9× 3 0.2× 6 241

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

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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