David A. Drew

62 papers receiving 3.0k citations

David A. Drew's Hit Papers

Real-time tracking of self-reported symptoms to predict potential COVID-19 2020 · 890 citations
8900+3+6Years since publication250500750

Peers

David A. Drew
Comparison fields: 5 of 159
  • Sensory Systems 179
  • Modeling and Simulation 112
  • Oncology 544
  • Infectious Diseases 359
  • Cancer Research 193
Replace Mario Falchi with:
Mario Falchi United Kingdom
Yun Lin China
Koichi Yuki United States
Alessia Visconti United Kingdom
Marco Tuccori Italy
Gang Chen China
Dawei Wang China
Xiang Xie China
Hong Ding China
David A. Drew relative to Mario Falchi United Kingdom Mario Falchi's profile →
Citations per field
00.5×1.5×1.8×
Mario Falchi · 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 63 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 →
2020890
2
Aspirin and colorectal cancer: the promise of precision chemoprevention
Hit paper breakdown →
2016343
3 2018204
4 2018171
5 2019160
6 2017149
7 2021139
8 2017138
9 200381
10 202172
11 202164
12 202161
13 201658
14 202057
15 202155
16 202148
17 202044
18 201440
19 198736
20 201522

About David A. Drew

David A. Drew is a scholar working on Molecular Biology, Oncology, Public Health, Environmental and Occupational Health, Physiology and Genetics, having authored 63 papers that have together received 3.1k indexed citations. Recurring topics across this work include Gut microbiota and health (12 papers), Colorectal Cancer Screening and Detection (11 papers), Nutrition, Genetics, and Disease (7 papers), Diet and metabolism studies (7 papers), Nutritional Studies and Diet (6 papers), Inflammatory mediators and NSAID effects (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Cancer, Lipids, and Metabolism (4 papers). The work is most often cited by research in Sensory Systems (179 citations), Modeling and Simulation (112 citations), Oncology (544 citations), Infectious Diseases (359 citations) and Cancer Research (193 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, Ana M. Valdes, Tim D. Spector, Edward L. Giovannucci, Raaj S. Mehta and Claire J. Steves. Their work appears in journals such as Gastroenterology, Current Developments in Nutrition, Cancer Research, Nature Microbiology 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.

Explore authors with similar magnitude of impact