Simon Ashworth
Impact in
- Health Informatics top 10%
- Oncology top 10%
- Cancer Treatment and Pharmacology
- HER2/EGFR in Cancer Research
- Colorectal Cancer Treatments and Studies
Papers in
-
- Sepsis Diagnosis and Treatment 3
- Oncology 3
- Cancer Treatment and Pharmacology 3
- HER2/EGFR in Cancer Research 3
- Co-authors
- Dale E. Shuster (3 shared papers)Fang Fang (3 shared papers)Antoinette R. Tan (2 shared papers)Linda T. Vahdat (2 shared papers)Patricia E. Cole (2 shared papers)Joanne L. Blum (2 shared papers)Stephen J. Brett (5 shared papers)Y. Nancy Wong (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)American Journal of Respiratory and Critical Care Medicine (1 paper)Clinical Cancer Research (1 paper)Critical Care (1 paper)Critical Care Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Simon Ashworth
10 papers receiving 673 citations
Peers
Comparison fields: 5 of 80
- Health Informatics 22
- Oncology 430
- Cancer Research 107
- Cell Biology 88
- Critical Care and Intensive Care Medicine 26
Countries citing papers authored by Simon Ashworth
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
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-authors
The 25 scholars most cited alongside Simon Ashworth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 201 | |
| 2 | 2010 | 164 | |
| 3 | 2009 | 116 | |
| 4 | 2018 | 64 | |
| 5 | 2019 | 54 | |
| 6 | 2018 | 34 | |
| 7 | 2009 | 19 | |
| 8 | 2011 | 17 | |
| 9 | 2021 | 15 | |
| 10 | 2003 | 3 |
About Simon Ashworth
Simon Ashworth is a scholar working on Epidemiology, Oncology, Artificial Intelligence, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 687 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (3 papers), HER2/EGFR in Cancer Research (3 papers), Machine Learning in Healthcare (3 papers), Sepsis Diagnosis and Treatment (3 papers), Microtubule and mitosis dynamics (2 papers), Respiratory Support and Mechanisms (2 papers), Cardiac Arrest and Resuscitation (2 papers) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Health Informatics (22 citations), Oncology (430 citations), Cancer Research (107 citations), Cell Biology (88 citations) and Critical Care and Intensive Care Medicine (26 citations). Simon Ashworth has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Dale E. Shuster, Fang Fang, Antoinette R. Tan, Linda T. Vahdat, Patricia E. Cole, Joanne L. Blum, Stephen J. Brett, Y. Nancy Wong, Lee S. Rosen and Eric H. Rubin. Their work appears in journals such as Journal of Clinical Oncology, American Journal of Respiratory and Critical Care Medicine, Clinical Cancer Research, Critical Care and Critical Care Medicine.
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.