Daniel P. Smith

11.9k citations
59 papers · 4.8k indexed · 2 hit papers · h-index 31

Daniel P. Smith

56 papers receiving 4.7k citations

Hit Papers

The gut mycobiome of the Human Microbiome Project healthy...6642014202620182022200400600

Peers

Daniel P. Smith
Comparison fields: 5 of 179
  • Infectious Diseases 725
  • Molecular Biology 2.6k
  • Nutrition and Dietetics 549
  • Biological Psychiatry 77
  • Ecology 749
Replace Lutz Krause with:
Lutz Krause Australia
Henning Seedorf Singapore
Jai Ram Rideout United States
Husen Zhang United States
Christine Moissl‐Eichinger Austria
Marion Leclerc France
Leo Lahti Finland
Markus Bauer Austria
Lindsay I. Sly Australia
Suparna Mitra United Kingdom
Daniel P. Smith relative to Lutz Krause Australia Lutz Krause's profile →
Citations per field
00.5×
Lutz Krause · 1×
Citations per year

Countries citing papers authored by Daniel P. Smith

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel P. Smith Line = papers co-authored together Daniel P. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202315
2 202220
3 202232
4 202131
5 2020144
6 201823
7 20182
8 2017126
9 2017217
10 201747
11 2017198
12 2016154
13 2015122
14 2014250
15
Longitudinal analysis of microbial interaction between humans and the indoor environmentbreakdown →
2014633
16 2014130
17 201313
18 201256
19 201042
20 198957

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.

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