A. Middleton
Impact in
- Chemical Health and Safety top 10%
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Light effects on plants
Papers in
-
- Plant Reproductive Biology 4
- Gene Regulatory Network Analysis 4
-
- Computational Drug Discovery Methods 8
- Co-authors
- Markus R. Owen (4 shared papers)John R. King (7 shared papers)Malcolm J. Bennett (3 shared papers)Paul L. Carmichael (7 shared papers)Susana Úbeda-Tomás (2 shared papers)Shuangqing Peng (3 shared papers)Jiabin Guo (3 shared papers)Jin Li (3 shared papers)
- Journals
- Toxicological Sciences (4 papers)Toxicology in Vitro (3 papers)Toxicology Letters (3 papers)Journal of Theoretical Biology (2 papers)Chemical Research in Toxicology (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
A. Middleton
29 papers receiving 857 citations
Peers
Comparison fields: 5 of 120
- Chemical Health and Safety 7
- Plant Science 346
- Small Animals 65
- Modeling and Simulation 40
- Molecular Biology 427
Countries citing papers authored by A. Middleton
This map shows the geographic impact of A. Middleton'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 A. Middleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Middleton more than expected).
Fields of papers citing papers by A. Middleton
This network shows the impact of papers produced by A. Middleton. 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 A. Middleton. The network helps show where A. Middleton may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Middleton, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 170 | |
| 2 | 2012 | 118 | |
| 3 | 2012 | 101 | |
| 4 | 2018 | 69 | |
| 5 | 2010 | 52 | |
| 6 | 2020 | 49 | |
| 7 | 2014 | 47 | |
| 8 | 2022 | 41 | |
| 9 | 2012 | 30 | |
| 10 | 2015 | 27 | |
| 11 | 2018 | 27 | |
| 12 | 2017 | 21 | |
| 13 | 2018 | 18 | |
| 14 | 2021 | 17 | |
| 15 | 2023 | 17 | |
| 16 | 2024 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2004 | 9 | |
| 19 | 2009 | 8 | |
| 20 | 2012 | 7 |
About A. Middleton
A. Middleton is a scholar working on Molecular Biology, Computational Theory and Mathematics, Small Animals, Plant Science and Health, Toxicology and Mutagenesis, having authored 33 papers that have together received 870 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Animal testing and alternatives (6 papers), Plant Reproductive Biology (4 papers), Plant Molecular Biology Research (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Gene Regulatory Network Analysis (4 papers), Cellular Mechanics and Interactions (3 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Chemical Health and Safety (7 citations), Plant Science (346 citations), Small Animals (65 citations), Modeling and Simulation (40 citations) and Molecular Biology (427 citations). A. Middleton has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Markus R. Owen, John R. King, Malcolm J. Bennett, Paul L. Carmichael, Susana Úbeda-Tomás, Shuangqing Peng, Jiabin Guo, Jin Li, Qiang Zhang and Lan Cui. Their work appears in journals such as Toxicological Sciences, Toxicology in Vitro, Toxicology Letters, Journal of Theoretical Biology and Chemical Research in Toxicology.
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.