Daniel K. Sewell
Impact in
- Endocrinology top 10%
- Legionella and Acanthamoeba research
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Clostridium difficile and Clostridium perfringens research 7
-
- Complex Network Analysis Techniques 6
- Opinion Dynamics and Social Influence 5
- Co-authors
- Yuguo Chen (3 shared papers)Philip M. Polgreen (18 shared papers)Linnea A. Polgreen (7 shared papers)Kelly K. Baker (10 shared papers)Ryan Peterson (3 shared papers)Oliver Cumming (5 shared papers)Jane Mumma (5 shared papers)Aaron C. Miller (8 shared papers)
- Journals
- Infection Control and Hospital Epidemiology (5 papers)BMJ Open (3 papers)Network Science (3 papers)BMC Public Health (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesKenyaUnited Kingdom
In The Last Decade
Daniel K. Sewell
56 papers receiving 795 citations
Peers
Comparison fields: 5 of 139
- Endocrinology 58
- Statistical and Nonlinear Physics 99
- Infectious Diseases 128
- Applied Microbiology and Biotechnology 12
- Computational Mathematics 4
Countries citing papers authored by Daniel K. Sewell
This map shows the geographic impact of Daniel K. Sewell'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 Daniel K. Sewell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel K. Sewell more than expected).
Fields of papers citing papers by Daniel K. Sewell
This network shows the impact of papers produced by Daniel K. Sewell. 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 Daniel K. Sewell. The network helps show where Daniel K. Sewell may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel K. Sewell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 80 | |
| 2 | 2018 | 69 | |
| 3 | 2017 | 61 | |
| 4 | 2018 | 59 | |
| 5 | 2017 | 54 | |
| 6 | 2017 | 46 | |
| 7 | 2023 | 45 | |
| 8 | 2015 | 42 | |
| 9 | 2017 | 32 | |
| 10 | 2018 | 32 | |
| 11 | 2018 | 26 | |
| 12 | 2017 | 26 | |
| 13 | 2006 | 24 | |
| 14 | 2019 | 20 | |
| 15 | 2022 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2020 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2022 | 13 | |
| 20 | 2019 | 11 |
About Daniel K. Sewell
Daniel K. Sewell is a scholar working on Infectious Diseases, Statistical and Nonlinear Physics, Epidemiology, Experimental and Cognitive Psychology and Nutrition and Dietetics, having authored 63 papers that have together received 831 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (7 papers), Child Nutrition and Water Access (6 papers), Mental Health Research Topics (6 papers), Complex Network Analysis Techniques (6 papers), Healthcare Systems and Technology (5 papers), Opinion Dynamics and Social Influence (5 papers), Health disparities and outcomes (3 papers) and Physical Activity and Health (3 papers). The work is most often cited by research in Endocrinology (58 citations), Statistical and Nonlinear Physics (99 citations), Infectious Diseases (128 citations), Applied Microbiology and Biotechnology (12 citations) and Computational Mathematics (4 citations). Daniel K. Sewell has collaborated with scholars based in United States, Kenya and United Kingdom. Frequent co-authors include Yuguo Chen, Philip M. Polgreen, Linnea A. Polgreen, Kelly K. Baker, Ryan Peterson, Oliver Cumming, Jane Mumma, Aaron C. Miller, Alberto M. Segre and Jacob E. Simmering. Their work appears in journals such as Infection Control and Hospital Epidemiology, BMJ Open, Network Science, BMC Public Health and PLoS ONE.
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.