Daniel Rice

654 citations
9 papers · 476 · h-index 6

Impact in

  • Pollution top 5%
    • Wastewater Treatment and Nitrogen Removal
  • Ecology top 5%
    • Bacteriophages and microbial interactions
    • Microbial Community Ecology and Physiology

Papers in

    • Microbial Community Ecology and Physiology 4
    • Bacteriophages and microbial interactions 3
    • Genomics and Phylogenetic Studies 2
    • Bacillus and Francisella bacterial research 1

Daniel Rice

8 papers receiving 471 citations

Peers

Daniel Rice
Comparison fields: 5 of 64
  • Pollution 170
  • Ecology 297
  • Microbiology 54
  • Industrial and Manufacturing Engineering 49
  • Health, Toxicology and Mutagenesis 44
Replace Lachlan B. M. Speirs with:
Lachlan B. M. Speirs Australia
Przemysław Decewicz Poland
Cinta Gómez-Silván Spain
Qin Zhou China
Cory Schwarz United States
Zijing Wang China
E. A. Botchkova Russia
Kenichi Otawa Japan
Pengxiao Zuo United States
Athanasios Zervas Denmark
Daniel Rice relative to Lachlan B. M. Speirs Australia Lachlan B. M. Speirs's profile →
Citations per field
00.5×1.5×
Lachlan B. M. Speirs · 1×
Citations per year

Countries citing papers authored by Daniel Rice

Since Specialization
Citations

This map shows the geographic impact of Daniel Rice'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 Rice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Rice more than expected).

Fields of papers citing papers by Daniel Rice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Rice. 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 Rice. The network helps show where Daniel Rice may publish in the future.

Co-authors

The 21 scholars most cited alongside Daniel Rice, 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 Rice Line = papers co-authored together Daniel Rice links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2019245
2 2019161
3 202025
4 202025
5 20217
6 20226
7 20254
8 20203
9 20250

About Daniel Rice

Daniel Rice is a scholar working on Ecology, Molecular Biology, Pollution, Microbiology and Health, Toxicology and Mutagenesis, having authored 9 papers that have together received 476 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (4 papers), Bacteriophages and microbial interactions (3 papers), Wastewater Treatment and Nitrogen Removal (3 papers), Microbial infections and disease research (3 papers), Water Treatment and Disinfection (2 papers), Genomics and Phylogenetic Studies (2 papers), Microbial Metabolites in Food Biotechnology (1 paper) and Bacillus and Francisella bacterial research (1 paper). The work is most often cited by research in Pollution (170 citations), Ecology (297 citations), Microbiology (54 citations), Industrial and Manufacturing Engineering (49 citations) and Health, Toxicology and Mutagenesis (44 citations). Daniel Rice has collaborated with scholars based in Australia, Japan and Thailand. Frequent co-authors include Steve Petrovski, Robert J. Seviour, Lachlan B. M. Speirs, Steven Batinovic, Tadashi Nittami, Christopher G. Sobey, J. Rose, Ashley E. Franks, Grant R. Drummond and Joseph Tucci. Their work appears in journals such as Food Bioscience, Scientific Reports, BMC Genomics, Journal of the Science of Food and Agriculture and Applied Microbiology and Biotechnology.

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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