Daniel P. Smith
- Infectious Diseases top 2%
- Molecular Biology top 2%
- Gut microbiota and health 20
- Genomics and Phylogenetic Studies 8
- RNA and protein synthesis mechanisms 3
- Nutrition and Dietetics top 2%
- Infant Nutrition and Health 3
- Biological Psychiatry top 5%
- Ecology top 2%
- Microbial Community Ecology and Physiology 9
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- Probiotics and Fermented Foods 4
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- Urban Stormwater Management Solutions 4
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- Wastewater Treatment and Nitrogen Removal 3
- Co-authors
- Perry L. McCartyJoseph F. PetrosinoJack A. GilbertChristopher J. StewartStephen J. GiovannoniNadim J. AjamiMatthew C. WongBenjamin D. Shogan
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Daniel P. Smith
56 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Infectious Diseases 725
- Molecular Biology 2.6k
- Nutrition and Dietetics 549
- Biological Psychiatry 77
- Ecology 749
Countries citing papers authored by Daniel P. Smith
This map shows the geographic impact of Daniel P. Smith'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 P. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Smith more than expected).
Fields of papers citing papers by Daniel P. Smith
This network shows the impact of papers produced by Daniel P. Smith. 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 P. Smith. The network helps show where Daniel P. Smith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel P. Smith, 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 | 2023 | 15 | |
| 2 | 2022 | 20 | |
| 3 | 2022 | 32 | |
| 4 | 2021 | 31 | |
| 5 | 2020 | 144 | |
| 6 | 2018 | 23 | |
| 7 | 2018 | 2 | |
| 8 | 2017 | 126 | |
| 9 | 2017 | 217 | |
| 10 | 2017 | 47 | |
| 11 | 2017 | 198 | |
| 12 | 2016 | 154 | |
| 13 | 2015 | 122 | |
| 14 | 2014 | 250 | |
| 15 | Longitudinal analysis of microbial interaction between humans and the indoor environmentbreakdown → | 2014 | 633 |
| 16 | 2014 | 130 | |
| 17 | 2013 | 13 | |
| 18 | 2012 | 56 | |
| 19 | 2010 | 42 | |
| 20 | 1989 | 57 |
About Daniel P. Smith
Daniel P. Smith is a scholar working on Library and Information Sciences, Molecular Biology, Applied Microbiology and Biotechnology, Periodontics and Virology, having authored 59 papers that have together received 4.8k indexed citations. Recurring topics across this work include Gut microbiota and health (20 papers), Microbial Community Ecology and Physiology (9 papers), Genomics and Phylogenetic Studies (8 papers), Probiotics and Fermented Foods (4 papers), Urban Stormwater Management Solutions (4 papers), Infant Nutrition and Health (3 papers), Wastewater Treatment and Nitrogen Removal (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Infectious Diseases (725 citations), Molecular Biology (2.6k citations), Nutrition and Dietetics (549 citations), Biological Psychiatry (77 citations) and Ecology (749 citations). Daniel P. Smith has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Perry L. McCarty, Joseph F. Petrosino, Jack A. Gilbert, Christopher J. Stewart, Stephen J. Giovannoni, Nadim J. Ajami, Matthew C. Wong, Benjamin D. Shogan, Simon Lax and John C. Alverdy. Their work appears in journals such as Microbiome, PLoS ONE, Biotechnology and Bioengineering, Nature Communications and Water Environment Research.
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.