Jon Hazeldine

4.2k total citations
58 papers, 2.4k citations indexed

About

Jon Hazeldine is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Jon Hazeldine has authored 58 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 21 papers in Epidemiology and 16 papers in Molecular Biology. Recurrent topics in Jon Hazeldine's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (15 papers), Sepsis Diagnosis and Treatment (14 papers) and Immune Response and Inflammation (13 papers). Jon Hazeldine is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (15 papers), Sepsis Diagnosis and Treatment (14 papers) and Immune Response and Inflammation (13 papers). Jon Hazeldine collaborates with scholars based in United Kingdom, United States and Australia. Jon Hazeldine's co-authors include Janet M. Lord, Peter Hampson, Paul Harrison, Antonio Belli, Wiebke Arlt, Jonathan Bishop, David N Naumann, Robert J. Dinsdale, Elizabeth Sapey and Hannah Greenwood and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Annals of Surgery.

In The Last Decade

Jon Hazeldine

53 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon Hazeldine United Kingdom 26 885 644 582 317 303 58 2.4k
Matijs van Meurs Netherlands 29 380 0.4× 671 1.0× 602 1.0× 196 0.6× 318 1.0× 101 2.4k
Jon A. Buras United States 25 1.4k 1.6× 986 1.5× 628 1.1× 118 0.4× 254 0.8× 33 3.4k
Yuka Sumi Japan 16 1.3k 1.5× 753 1.2× 1.7k 2.9× 148 0.5× 295 1.0× 43 4.0k
Laszlo M. Hoesel United States 22 1.4k 1.6× 752 1.2× 624 1.1× 107 0.3× 224 0.7× 36 2.9k
Naoyuki Hashiguchi Japan 19 491 0.6× 274 0.4× 426 0.7× 264 0.8× 359 1.2× 33 1.7k
Lesley Doughty United States 25 759 0.9× 787 1.2× 450 0.8× 218 0.7× 193 0.6× 43 2.0k
Gene F. Coppa United States 36 744 0.8× 469 0.7× 732 1.3× 76 0.2× 254 0.8× 141 3.6k
Eizo Watanabe Japan 25 613 0.7× 1.1k 1.8× 419 0.7× 95 0.3× 332 1.1× 63 2.1k
Mario Perl Germany 32 1.1k 1.3× 827 1.3× 795 1.4× 144 0.5× 391 1.3× 109 3.0k
Stylianos E. Orfanos Greece 31 683 0.8× 1.0k 1.6× 736 1.3× 329 1.0× 419 1.4× 178 3.6k

Countries citing papers authored by Jon Hazeldine

Since Specialization
Citations

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

Fields of papers citing papers by Jon Hazeldine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Hazeldine

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Hazeldine. A scholar is included among the top collaborators of Jon Hazeldine 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 Jon Hazeldine. Jon Hazeldine 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
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2.
Hazeldine, Jon, et al.. (2025). Physical Activity Modifies the Metabolic Profile of CD4 + and CD8 + T‐Cell Subtypes at Rest and Upon Activation in Older Adults. Aging Cell. 24(7). e70104–e70104. 2 indexed citations
3.
Nicholson, Thomas, et al.. (2025). Accelerated epigenetic ageing after burn injury. GeroScience. 47(3). 3693–3707.
4.
Chen, Yung‐Yi, Luke C. McIlvenna, Martin Whitham, et al.. (2024). Impact of Senescent Cell‐Derived Extracellular Vesicles on Innate Immune Cell Function. Advanced Biology. 8(12). e2400265–e2400265. 3 indexed citations
5.
Nicholson, Thomas, Antonio Belli, Janet M. Lord, & Jon Hazeldine. (2024). The impact of trauma relevant concentrations of prostaglandin E2 on the anti-microbial activity of the innate immune system. Frontiers in Immunology. 15. 1401185–1401185.
6.
Khan, Reenam S., Lozan Sheriff, Jon Hazeldine, et al.. (2024). Circulating myeloid populations have prognostic utility in alcohol-related liver disease. Frontiers in Immunology. 15. 1330536–1330536. 2 indexed citations
7.
Chen, Yung‐Yi, et al.. (2024). Senescent cell-derived extracellular vesicles as potential mediators of innate immunosenescence and inflammaging. Experimental Gerontology. 187. 112365–112365. 9 indexed citations
8.
Bentley, Conor, Jon Hazeldine, Laura Bravo, et al.. (2023). The ultra-acute steroid response to traumatic injury: a cohort study. European Journal of Endocrinology. 188(3). 290–299. 3 indexed citations
9.
Belchamber, Kylie, Jon Hazeldine, Frances Grudzinska, et al.. (2022). Dysregulated Neutrophil Phenotype and Function in Hospitalised Non-ICU COVID-19 Pneumonia. Cells. 11(18). 2901–2901. 10 indexed citations
10.
Acharjee, Animesh, Jon Hazeldine, Alina Bazarova, et al.. (2021). Integration of Metabolomic and Clinical Data Improves the Prediction of Intensive Care Unit Length of Stay Following Major Traumatic Injury. Metabolites. 12(1). 29–29. 10 indexed citations
11.
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Sapey, Elizabeth, Jaimin Patel, Hannah Greenwood, et al.. (2019). Simvastatin Improves Neutrophil Function and Clinical Outcomes in Pneumonia. A Pilot Randomized Controlled Clinical Trial. American Journal of Respiratory and Critical Care Medicine. 200(10). 1282–1293. 69 indexed citations
13.
Acharjee, Animesh, Jon Hazeldine, Conor Bentley, et al.. (2019). Machine learning for the detection of early immunological markers as predictors of multi-organ dysfunction. Scientific Data. 6(1). 328–328. 18 indexed citations
14.
Sapey, Elizabeth, Jaimin Patel, Hannah Greenwood, et al.. (2017). Pulmonary Infections in the Elderly Lead to Impaired Neutrophil Targeting, Which Is Improved by Simvastatin. American Journal of Respiratory and Critical Care Medicine. 196(10). 1325–1336. 60 indexed citations
15.
Dinsdale, Robert J., Peter Hampson, Christopher M. Wearn, et al.. (2017). Changes in novel haematological parameters following thermal injury: A prospective observational cohort study. Scientific Reports. 7(1). 3211–3211. 23 indexed citations
16.
Naumann, David N, Jon Hazeldine, Robert J. Dinsdale, et al.. (2017). Endotheliopathy is associated with higher levels of cell-free DNA following major trauma: A prospective observational study. PLoS ONE. 12(12). e0189870–e0189870. 35 indexed citations
17.
Hazeldine, Jon, Janet M. Lord, & Peter Hampson. (2015). Immunesenescence and inflammaging: A contributory factor in the poor outcome of the geriatric trauma patient. Ageing Research Reviews. 24(Pt B). 349–357. 29 indexed citations
18.
19.
Hazeldine, Jon, Peter Hampson, & Janet M. Lord. (2012). Reduced release and binding of perforin at the immunological synapse underlies the age‐related decline in natural killer cell cytotoxicity. Aging Cell. 11(5). 751–759. 136 indexed citations
20.
Wang, Keqing, Peter Hampson, Jon Hazeldine, et al.. (2012). Cyclin-Dependent Kinase 9 Activity Regulates Neutrophil Spontaneous Apoptosis. PLoS ONE. 7(1). e30128–e30128. 38 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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