David N. Taylor
- Endocrinology top 0.05%
- Escherichia coli research studies 62
- Vibrio bacteria research studies 38
- Infectious Diseases top 0.2%
- Viral gastroenteritis research and epidemiology 63
- Food Science top 0.2%
- Salmonella and Campylobacter epidemiology 43
- Hepatology top 1%
- Hepatitis Viruses Studies and Epidemiology 12
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 14
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- Travel-related health issues 19
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- Influenza Virus Research Studies 15
- Co-authors
- P EcheverriaMartin J. BlaserJerald SadoffRoger A. FeldmanRina MezaJ SeriwatanaNeil R. BlacklowC. Pitarangsi
- Partner nations
- United StatesThailandPeru
In The Last Decade
David N. Taylor
181 papers receiving 8.2k citations
Peers
Comparison fields: 5 of 160
- Endocrinology 3.2k
- Infectious Diseases 3.9k
- Food Science 2.1k
- Hepatology 717
- Molecular Medicine 436
Countries citing papers authored by David N. Taylor
This map shows the geographic impact of David N. Taylor'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 N. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David N. Taylor more than expected).
Fields of papers citing papers by David N. Taylor
This network shows the impact of papers produced by David N. Taylor. 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 N. Taylor. The network helps show where David N. Taylor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David N. Taylor, 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 | 2022 | 18 | |
| 2 | 2022 | 5 | |
| 3 | 2020 | 29 | |
| 4 | Treatment of Travelers' Diarrhea: Ciprofloxacin plus Loperamide Compared with Ciprofloxacin Alone | 2020 | 0 |
| 5 | 2020 | 11 | |
| 6 | 2017 | 6 | |
| 7 | 2012 | 102 | |
| 8 | A Multicenter, Double-Blind, Randomized, Escalating Dose-Ranging Study to Investigate the Safety and Immunogenicity in Healthy Adults of VAX102 (STF2.4xM2e), an M2e-flagellin Fusion Influenza Vaccine | 2008 | 2 |
| 9 | 2006 | 50 | |
| 10 | 2003 | 88 | |
| 11 | 2003 | 32 | |
| 12 | 2002 | 3 | |
| 13 | 2000 | 57 | |
| 14 | 1999 | 5 | |
| 15 | 1999 | 25 | |
| 16 | 1998 | 47 | |
| 17 | 1992 | 117 | |
| 18 | 1989 | 68 | |
| 19 | 1989 | 2 | |
| 20 | 1989 | 54 |
About David N. Taylor
David N. Taylor is a scholar working on Endocrinology, Infectious Diseases and Medical Terminology, having authored 183 papers that have together received 8.7k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (63 papers), Escherichia coli research studies (62 papers), Salmonella and Campylobacter epidemiology (43 papers), Vibrio bacteria research studies (38 papers), Travel-related health issues (19 papers), Influenza Virus Research Studies (15 papers), Antibiotic Resistance in Bacteria (14 papers) and Hepatitis Viruses Studies and Epidemiology (12 papers). The work is most often cited by research in Endocrinology (3.2k citations), Infectious Diseases (3.9k citations) and Food Science (2.1k citations). David N. Taylor has collaborated with scholars based in United States, Thailand and Peru. Frequent co-authors include P Echeverria, Martin J. Blaser, Jerald Sadoff, Roger A. Feldman, Rina Meza, J Seriwatana, Neil R. Blacklow, C. Pitarangsi, Uma Kavita and Alan Shaw. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.