Deborah Ashby
Impact in
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials
Papers in
-
- Cystic Fibrosis Research Advances 12
- Neonatal Respiratory Health Research 7
- Epidemiology 21
- Co-authors
- Sandra Eldridge (6 shared papers)David Gunnell (6 shared papers)Shahrul Mt‐Isa (22 shared papers)Rosalind L. Smyth (17 shared papers)Sally Kerry (1 shared paper)Alicja R. Rudnicka (3 shared papers)Anthony Gordon (11 shared papers)Katharine Cheng (12 shared papers)
- Journals
- Statistics in Medicine (12 papers)Cochrane Database of Systematic Reviews (9 papers)Pharmacoepidemiology and Drug Safety (5 papers)Pediatric Pulmonology (5 papers)Nature Communications (4 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Deborah Ashby
180 papers receiving 8.7k citations
Deborah Ashby's Hit Papers
Peers
Comparison fields: 5 of 201
- Statistics and Probability 483
- Critical Care and Intensive Care Medicine 223
- Modeling and Simulation 223
- Statistics, Probability and Uncertainty 307
- Epidemiology 1.3k
Countries citing papers authored by Deborah Ashby
This map shows the geographic impact of Deborah Ashby'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 Deborah Ashby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah Ashby more than expected).
Fields of papers citing papers by Deborah Ashby
This network shows the impact of papers produced by Deborah Ashby. 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 Deborah Ashby. The network helps show where Deborah Ashby may publish in the future.
Co-authors
The 25 scholars most cited alongside Deborah Ashby, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Effect of Early Vasopressin vs Norepinephrine on Kidney Failure in Patients With Septic Shock Hit paper breakdown → | 2016 | 430 |
| 2 | 2006 | 389 | |
| 3 | 2006 | 365 | |
| 4 | 2005 | 267 | |
| 5 | 2016 | 231 | |
| 6 | 2018 | 206 | |
| 7 | 2002 | 205 | |
| 8 | 2004 | 202 | |
| 9 | 2007 | 195 | |
| 10 | 2005 | 185 | |
| 11 | 2008 | 159 | |
| 12 | 2006 | 156 | |
| 13 | 2014 | 154 | |
| 14 | 1984 | 128 | |
| 15 | 1991 | 118 | |
| 16 | 2004 | 117 | |
| 17 | 2017 | 116 | |
| 18 | 2017 | 112 | |
| 19 | 2021 | 111 | |
| 20 | 2014 | 111 |
About Deborah Ashby
Deborah Ashby is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Infectious Diseases, Statistics and Probability and Psychiatry and Mental health, having authored 182 papers that have together received 9.0k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), Cystic Fibrosis Research Advances (12 papers), Statistical Methods in Clinical Trials (12 papers), COVID-19 epidemiological studies (11 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers), Meta-analysis and systematic reviews (8 papers) and Neonatal Respiratory Health Research (7 papers). The work is most often cited by research in Statistics and Probability (483 citations), Critical Care and Intensive Care Medicine (223 citations), Modeling and Simulation (223 citations), Statistics, Probability and Uncertainty (307 citations) and Epidemiology (1.3k citations). Deborah Ashby has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Sandra Eldridge, David Gunnell, Shahrul Mt‐Isa, Rosalind L. Smyth, Sally Kerry, Alicja R. Rudnicka, Anthony Gordon, Katharine Cheng, Gene Feder and Julia Saperia. Their work appears in journals such as Statistics in Medicine, Cochrane Database of Systematic Reviews, Pharmacoepidemiology and Drug Safety, Pediatric Pulmonology and Nature Communications.
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.