David A. Drew

18.4k citations
62 papers · 2.9k indexed · 1 hit paper · h-index 20

David A. Drew

62 papers receiving 2.9k citations

Hit Papers

Real-time tracking of self-reported symptoms to predict p...8472020202620222024250500750

Peers

David A. Drew
Comparison fields: 5 of 160
  • Sensory Systems 179
  • Modeling and Simulation 151
  • Oncology 672
  • Infectious Diseases 448
  • Cancer Research 266
Replace Yuanlin Song with:
Yuanlin Song China
Jie Yang China
Yun Lin China
Gang Chen China
Koichi Yuki United States
Michael S. Rogers Hong Kong
Hong Ding China
Guy Fagherazzi France
Marco Tuccori Italy
David A. Drew relative to Yuanlin Song China Yuanlin Song's profile →
Citations per field
00.5×1.5×2.1×
Yuanlin Song · 1×
Citations per year

Countries citing papers authored by David A. Drew

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with David A. Drew Line = papers co-authored together David A. Drew links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202413
2 20232
3 20225
4 202114
5 202153
6
Real-time tracking of self-reported symptoms to predict potential COVID-19breakdown →
2020847
7 202043
8 20192
9 2018193
10 2018156
11 20179
12 2017132
13 20173
14 2017145
15 201656
16 2016326
17 201521
18 201440
19 201414
20 198734

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.

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