Daniel S. Read
- Ecology top 1%
- Environmental DNA in Biodiversity Studies 21
- Microbial Community Ecology and Physiology 18
- Pollution top 1%
- Microplastics and Plastic Pollution 8
- Environmental Chemistry top 2%
- Aquatic Ecosystems and Phytoplankton Dynamics 10
- Soil and Water Nutrient Dynamics 10
- Ecological Modeling top 5%
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- Identification and Quantification in Food 9
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- Fecal contamination and water quality 8
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- Fish Ecology and Management Studies 7
- Co-authors
- William O. C. SymondsonR. Andrew KingMichael TraugottMichael J. BowesHyun S. GweonAnna OliverBernd HänflingLori Lawson Handley
- Journals
- The Science of The Total Environment (13 papers)Water Research (5 papers)Molecular Ecology (4 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Daniel S. Read
80 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Ecology 1.9k
- Pollution 791
- Industrial and Manufacturing Engineering 470
- Environmental Chemistry 450
- Ecological Modeling 178
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 13 | |
| 7 | 2023 | 5 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 46 | |
| 10 | 2021 | 32 | |
| 11 | 2020 | 12 | |
| 12 | 2020 | 145 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 68 | |
| 15 | 2018 | 42 | |
| 16 | 2016 | 81 | |
| 17 | 2016 | 75 | |
| 18 | 2014 | 29 | |
| 19 | 2013 | 43 | |
| 20 | 2012 | 104 |
About Daniel S. Read
Daniel S. Read is a scholar working on Environmental Chemistry, Pollution, Ecology, Water Science and Technology and Molecular Medicine, having authored 84 papers that have together received 4.2k indexed citations. Recurring topics across this work include Environmental DNA in Biodiversity Studies (21 papers), Microbial Community Ecology and Physiology (18 papers), Aquatic Ecosystems and Phytoplankton Dynamics (10 papers), Soil and Water Nutrient Dynamics (10 papers), Identification and Quantification in Food (9 papers), Microplastics and Plastic Pollution (8 papers), Fecal contamination and water quality (8 papers) and Fish Ecology and Management Studies (7 papers). The work is most often cited by research in Ecology (1.9k citations), Pollution (791 citations), Industrial and Manufacturing Engineering (470 citations), Environmental Chemistry (450 citations) and Ecological Modeling (178 citations). Daniel S. Read has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include William O. C. Symondson, R. Andrew King, Michael Traugott, Michael J. Bowes, Hyun S. Gweon, Anna Oliver, Bernd Hänfling, Lori Lawson Handley, Jianlong Li and Mark Bailey. Their work appears in journals such as The Science of The Total Environment, Water Research, Molecular Ecology, Environmental DNA and Environmental Pollution.
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.