David R. Yonge

1.8k citations
67 papers · 1.4k · h-index 22

Impact in

Papers in

David R. Yonge

66 papers receiving 1.3k citations

Peers

David R. Yonge
Comparison fields: 5 of 103
  • Pollution 439
  • Health, Toxicology and Mutagenesis 402
  • Process Chemistry and Technology 80
  • Water Science and Technology 376
  • Environmental Engineering 300
Replace J.P. Bell with:
J.P. Bell United States
Michael C. Kavanaugh United States
Stephen R. Hutchins United States
N. Hudson United Kingdom
Qiusheng He China
Russell F. Christman United States
Kazuhiko Takeda Japan
Stefan A. Huber Germany
Hilmar Börnick Germany
William A. Apel United States
David R. Yonge relative to J.P. Bell United States J.P. Bell's profile →
Citations per field
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Citations per year

Countries citing papers authored by David R. Yonge

Since Specialization
Citations

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

Fields of papers citing papers by David R. Yonge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002123
2 2002119
3 2011115
4 199778
5 200968
6 200766
7 198566
8 199861
9 200549
10 199744
11 200744
12 200934
13 200332
14 200930
15 199629
16 201129
17 200528
18 199927
19 200426
20 200726

About David R. Yonge

David R. Yonge is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis, Pollution, Water Science and Technology and Civil and Structural Engineering, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Urban Stormwater Management Solutions (16 papers), Chromium effects and bioremediation (16 papers), Adsorption and biosorption for pollutant removal (15 papers), Groundwater flow and contamination studies (9 papers), Wastewater Treatment and Nitrogen Removal (8 papers), Environmental remediation with nanomaterials (8 papers), Smart Materials for Construction (7 papers) and Landfill Environmental Impact Studies (6 papers). The work is most often cited by research in Pollution (439 citations), Health, Toxicology and Mutagenesis (402 citations), Process Chemistry and Technology (80 citations), Water Science and Technology (376 citations) and Environmental Engineering (300 citations). David R. Yonge has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Brent Peyton, James N. Petersen, Marc W. Beutel, Michael E. Barber, Donald L. Johnstone, Md. Akram Hossain, G. H. Mount, Markus Flury, Seyoum Yami Gebremariam and James B. Harsh. Their work appears in journals such as Journal of Environmental Engineering, Atmospheric Environment, Biotechnology Letters, Applied Mathematics and Computation and Journal of Hydrologic Engineering.

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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