David A. Drew

62 papers receiving 2.9k citations

David A. Drew's Hit Papers

Real-time tracking of self-reported symptoms to predict potential COVID-19 2020 · 847 citations
8470+2+4Years since publication250500750

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
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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-authors

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

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Real-time tracking of self-reported symptoms to predict potential COVID-19
Hit paper breakdown →
2020847
2 2016326
3 2018193
4 2018156
5 2019151
6 2017145
7 2017132
8 2021123
9 200372
10 202169
11 202160
12 201656
13 202156
14 202153
15 202053
16 202043
17 201440
18 202139
19 198734
20 201521

About David A. Drew

David A. Drew is a scholar working on Molecular Biology, Oncology, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine and Physiology, 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), Genetic factors in colorectal cancer (9 papers), Nutritional Studies and Diet (9 papers), Cancer, Lipids, and Metabolism (7 papers), Diet and metabolism studies (7 papers), Nutrition, Genetics, and Disease (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, Edward L. Giovannucci, Ana M. Valdes, Raaj S. Mehta and Carole H. Sudre. Their work appears in journals such as Gastroenterology, Current Developments in Nutrition, Cancer Research, Proceedings of The Nutrition Society and Journal of comparative psychology.

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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