David A. Drew
- Sensory Systems top 2%
- Modeling and Simulation top 2%
- Oncology top 5%
- Colorectal Cancer Screening and Detection 15
- Infectious Diseases top 5%
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism 7
-
- Gut microbiota and health 13
-
- Nutritional Studies and Diet 9
-
- Genetic factors in colorectal cancer 9
-
- Diet and metabolism studies 7
-
- Nutrition, Genetics, and Disease 7
-
- Gastric Cancer Management and Outcomes 5
David A. Drew
62 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Sensory Systems 179
- Modeling and Simulation 151
- Oncology 672
- Infectious Diseases 448
- Cancer Research 266
Countries citing papers authored by David A. Drew
This map shows the geographic impact of David A. Drew'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 David A. Drew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Drew more than expected).
Fields of papers citing papers by David A. Drew
This network shows the impact of papers produced by David A. Drew. 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 David A. Drew. The network helps show where David A. Drew may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David A. Drew, 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 | 2024 | 13 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 14 | |
| 5 | 2021 | 53 | |
| 6 | Real-time tracking of self-reported symptoms to predict potential COVID-19breakdown → | 2020 | 847 |
| 7 | 2020 | 43 | |
| 8 | 2019 | 2 | |
| 9 | 2018 | 193 | |
| 10 | 2018 | 156 | |
| 11 | 2017 | 9 | |
| 12 | 2017 | 132 | |
| 13 | 2017 | 3 | |
| 14 | 2017 | 145 | |
| 15 | 2016 | 56 | |
| 16 | 2016 | 326 | |
| 17 | 2015 | 21 | |
| 18 | 2014 | 40 | |
| 19 | 2014 | 14 | |
| 20 | 1987 | 34 |
About David A. Drew
David A. Drew is a scholar working on Oncology, Pathology and Forensic Medicine, Cancer Research, Public Health, Environmental and Occupational Health and Endocrine and Autonomic Systems, having authored 62 papers that have together received 2.9k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (15 papers), Gut microbiota and health (13 papers), Nutritional Studies and Diet (9 papers), Genetic factors in colorectal cancer (9 papers), Diet and metabolism studies (7 papers), Nutrition, Genetics, and Disease (7 papers), Cancer, Lipids, and Metabolism (7 papers) and Gastric Cancer Management and Outcomes (5 papers). The work is most often cited by research in Sensory Systems (179 citations), Modeling and Simulation (151 citations), Oncology (672 citations), Infectious Diseases (448 citations) and Cancer Research (266 citations). David A. Drew has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Andrew T. Chan, Yin Cao, Long H. Nguyen, Mingyang Song, Jonathan Wolf, Tim D. Spector, Ana M. Valdes, Edward L. Giovannucci, Raaj S. Mehta and Carole H. Sudre. Their work appears in journals such as Gastroenterology, Current Developments in Nutrition, Cancer Research, Journal of comparative psychology and Proceedings of The Nutrition Society.
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.