David C. Vuono

482 citations
21 papers · 351 · h-index 9

Impact in

Papers in

David C. Vuono

19 papers receiving 346 citations

Peers

David C. Vuono
Comparison fields: 5 of 77
  • Pollution 159
  • Health, Toxicology and Mutagenesis 71
  • Ecology 128
  • Industrial and Manufacturing Engineering 41
  • Water Science and Technology 40
Replace Florian Mauffrey with:
Florian Mauffrey Canada
Pei Hong China
Wangkai Fang China
Puja Jasrotia United States
Xianzhe Gong China
Tetsuro Kohno Japan
Helena Santiago Lima Brazil
Flávia Talarico Saia Brazil
Robert Almstrand Sweden
David C. Vuono relative to Florian Mauffrey Canada Florian Mauffrey's profile →
Citations per field
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Florian Mauffrey · 1×
Citations per year

Countries citing papers authored by David C. Vuono

Since Specialization
Citations

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

Fields of papers citing papers by David C. Vuono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Vuono. 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 C. Vuono. The network helps show where David C. Vuono may publish in the future.

Co-authors

The 25 scholars most cited alongside David C. Vuono, 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 David C. Vuono Line = papers co-authored together David C. Vuono links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014104
2 201649
3 201535
4 201334
5 202232
6 201921
7 202320
8 202410
9 20148
10 20197
11 20195
12 20235
13 20244
14 20244
15 20214
16 20243
17 20223
18 20232
19 20241
20
Biogeochemistry of Stinking Springs, Utah. Part II: Microbial Diversity and Photo- and Chemo-Autotrophic Growth Rates in a Layered Microbial Mat
20130

About David C. Vuono

David C. Vuono is a scholar working on Ecology, Health, Toxicology and Mutagenesis, Global and Planetary Change, Molecular Biology and Pollution, having authored 21 papers that have together received 351 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (7 papers), Fire effects on ecosystems (5 papers), Wastewater Treatment and Nitrogen Removal (4 papers), Recycling and Waste Management Techniques (3 papers), Gut microbiota and health (3 papers), Extraction and Separation Processes (3 papers), Water Treatment and Disinfection (2 papers) and Microbial Fuel Cells and Bioremediation (2 papers). The work is most often cited by research in Pollution (159 citations), Health, Toxicology and Mutagenesis (71 citations), Ecology (128 citations), Industrial and Manufacturing Engineering (41 citations) and Water Science and Technology (40 citations). David C. Vuono has collaborated with scholars based in United States, Peru and Germany. Frequent co-authors include Jörg E. Drewes, Junko Munakata‐Marr, John R. Spear, J. Henkel, Tzahi Y. Cath, William Navidi, Dong Li, Zackary L. Jones, Ryan W. Holloway and Julia Regnery. Their work appears in journals such as The Science of The Total Environment, Journal of Geophysical Research Biogeosciences, ACS ES&T Water, The ISME Journal and Environmental Science & Technology.

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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