Daniel S. Read
Impact in
Papers in
- Co-authors
- William O. C. Symondson (4 shared papers)R. Andrew King (2 shared papers)Michael Traugott (1 shared paper)Michael J. Bowes (18 shared papers)Hyun Soon Gweon (16 shared papers)Anna Oliver (5 shared papers)Lori Lawson Handley (7 shared papers)Bernd Hänfling (7 shared papers)
- Journals
- The Science of The Total Environment (13 papers)Water Research (7 papers)Environmental DNA (5 papers)The ISME Journal (4 papers)Molecular Ecology (4 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Daniel S. Read
95 papers receiving 5.0k citations
Daniel S. Read's Hit Papers
Peers
Comparison fields: 5 of 151
- Ecology 2.3k
- Pollution 950
- Waste Management and Disposal 504
- Ecological Modeling 220
- Environmental Chemistry 489
Countries citing papers authored by Daniel S. Read
This map shows the geographic impact of Daniel S. Read'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 S. Read with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Read more than expected).
Fields of papers citing papers by Daniel S. Read
This network shows the impact of papers produced by Daniel S. Read. 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 S. Read. The network helps show where Daniel S. Read may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Read, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 568 | |
| 2 | Environmental DNA metabarcoding of lake fish communities reflects long‐term data from established survey methods Hit paper breakdown → | 2016 | 457 |
| 3 | 2015 | 267 | |
| 4 | 2014 | 220 | |
| 5 | 2018 | 193 | |
| 6 | 2019 | 179 | |
| 7 | 2020 | 165 | |
| 8 | 2020 | 148 | |
| 9 | 2020 | 136 | |
| 10 | 2014 | 128 | |
| 11 | 2019 | 125 | |
| 12 | 2012 | 112 | |
| 13 | 2019 | 112 | |
| 14 | 2006 | 100 | |
| 15 | 2015 | 95 | |
| 16 | 2018 | 95 | |
| 17 | 2018 | 90 | |
| 18 | 2022 | 87 | |
| 19 | 2016 | 86 | |
| 20 | 2019 | 84 |
About Daniel S. Read
Daniel S. Read is a scholar working on Ecology, Pollution, Environmental Chemistry, Water Science and Technology and Health, Toxicology and Mutagenesis, having authored 103 papers that have together received 5.2k indexed citations. Recurring topics across this work include Environmental DNA in Biodiversity Studies (23 papers), Microbial Community Ecology and Physiology (22 papers), Identification and Quantification in Food (11 papers), Aquatic Ecosystems and Phytoplankton Dynamics (11 papers), Soil and Water Nutrient Dynamics (10 papers), Fecal contamination and water quality (9 papers), Microplastics and Plastic Pollution (8 papers) and Pharmaceutical and Antibiotic Environmental Impacts (8 papers). The work is most often cited by research in Ecology (2.3k citations), Pollution (950 citations), Waste Management and Disposal (504 citations), Ecological Modeling (220 citations) and Environmental Chemistry (489 citations). Daniel S. Read has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include William O. C. Symondson, R. Andrew King, Michael Traugott, Michael J. Bowes, Hyun Soon Gweon, Anna Oliver, Lori Lawson Handley, Bernd Hänfling, Jianlong Li and Mark Bailey. Their work appears in journals such as The Science of The Total Environment, Water Research, Environmental DNA, The ISME Journal and Molecular Ecology.
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.