Simon Ashworth

1.3k total citations
10 papers, 687 citations indexed

About

Simon Ashworth is a scholar working on Epidemiology, Oncology and Artificial Intelligence. According to data from OpenAlex, Simon Ashworth has authored 10 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Oncology and 3 papers in Artificial Intelligence. Recurrent topics in Simon Ashworth's work include Machine Learning in Healthcare (3 papers), Sepsis Diagnosis and Treatment (3 papers) and HER2/EGFR in Cancer Research (3 papers). Simon Ashworth is often cited by papers focused on Machine Learning in Healthcare (3 papers), Sepsis Diagnosis and Treatment (3 papers) and HER2/EGFR in Cancer Research (3 papers). Simon Ashworth collaborates with scholars based in United Kingdom, United States and Sweden. Simon Ashworth's co-authors include Fang Fang, Dale E. Shuster, Antoinette R. Tan, Linda T. Vahdat, Patricia E. Cole, Joanne L. Blum, Lee S. Rosen, Eric H. Rubin, Y. Nancy Wong and Stephen J. Brett and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Simon Ashworth

10 papers receiving 673 citations

Peers

Simon Ashworth

ONCOL

PRM

EPIDE

Carla Montironi Spain

Jianhui Yang China

Rosalin Cooper United Kingdom

Nam Sun Paik South Korea

Sae‐Jin Park South Korea

Zhuolin Li China

Nicholas Nicholson Italy

Gurdeep Mannu United Kingdom

James Bristol United Kingdom

Tibor I. Krisko United States

Carla Montironi Spain

Simon Ashworth

157 ×0.4

ONCOL

104 ×0.9

PRM

86 ×0.8

342 ×3.5

EPIDE

37 ×0.4

Citations per year, relative to Simon Ashworth Simon Ashworth (= 1×) peers Carla Montironi

Countries citing papers authored by Simon Ashworth

Since Specialization

Citations

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

Fields of papers citing papers by Simon Ashworth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Ashworth

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Ashworth. A scholar is included among the top collaborators of Simon Ashworth 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 Simon Ashworth. Simon Ashworth 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

Shah, Anoop D, Niall MacCallum, Steve Harris, et al.. (2021). Descriptors of Sepsis Using the Sepsis-3 Criteria: A Cohort Study in Critical Care Units Within the U.K. National Institute for Health Research Critical Care Health Informatics Collaborative*. Critical Care Medicine. 49(11). 1883–1894. 15 indexed citations

Post, Benjamin, Giampiero Marra, Niall MacCallum, et al.. (2019). The Association between Supraphysiologic Arterial Oxygen Levels and Mortality in Critically Ill Patients: A Multicenter Observational Cohort Study. American Journal of Respiratory and Critical Care Medicine. 200(11). 1373–1380. 54 indexed citations

Harris, Steve, Sinan Shi, David Brealey, et al.. (2018). Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database. International Journal of Medical Informatics. 112. 82–89. 34 indexed citations

Dixit, Abhishek, Steve Harris, Niall MacCallum, et al.. (2018). Optimal intensive care outcome prediction over time using machine learning. PLoS ONE. 13(11). e0206862–e0206862. 64 indexed citations

Cooke, Graham, Richard Lessells, Laurence John, et al.. (2011). International Spread of MDR TB from Tugela Ferry, South Africa. Emerging infectious diseases. 17(11). 2035–7. 17 indexed citations

Cortés, Javier, Linda T. Vahdat, Joanne L. Blum, et al.. (2010). Phase II Study of the Halichondrin B Analog Eribulin Mesylate in Patients With Locally Advanced or Metastatic Breast Cancer Previously Treated With an Anthracycline, a Taxane, and Capecitabine. Journal of Clinical Oncology. 28(25). 3922–3928. 164 indexed citations

Tan, Antoinette R., Eric H. Rubin, Dale E. Shuster, et al.. (2009). Phase I Study of Eribulin Mesylate Administered Once Every 21 Days in Patients with Advanced Solid Tumors. Clinical Cancer Research. 15(12). 4213–4219. 116 indexed citations

Templeton, Maie, et al.. (2009). Long-term survival of chronic dialysis patients following survival from an episode of multiple-organ failure. Critical Care. 13(3). R65–R65. 19 indexed citations

Vahdat, Linda T., Brian Pruitt, Carol J. Fabian, et al.. (2009). Phase II Study of Eribulin Mesylate, a Halichondrin B Analog, in Patients With Metastatic Breast Cancer Previously Treated With an Anthracycline and a Taxane. Journal of Clinical Oncology. 27(18). 2954–2961. 201 indexed citations

10.

Ashworth, Simon & Jeremy Cordingley. (2003). New modes of ventilation. Current Anaesthesia and Critical Care. 14(2). 90–99. 3 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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