Andrew T. Nottingham
- Soil Science top 0.5%
- Ecology top 1%
- Plant Science top 5%
- Global and Planetary Change top 5%
- Atmospheric Science top 5%
- Co-authors
- Patrick MeirBenjamin L. TurnerNorma SalinasAndrew W. StottJeanette WhitakerE. V. J. TannerPaul ChamberlainRichard D. Bardgett
- Topics
- Soil Carbon and Nitrogen Dynamics (26 papers)Microbial Community Ecology and Physiology (11 papers)Polar Research and Ecology (8 papers)
- Partner nations
- United KingdomPanamaAustralia
In The Last Decade
Andrew T. Nottingham
37 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Soil Science 1.8k
- Ecology 1.3k
- Plant Science 592
- Global and Planetary Change 443
- Atmospheric Science 415
Countries citing papers authored by Andrew T. Nottingham
This map shows the geographic impact of Andrew T. Nottingham'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 Andrew T. Nottingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew T. Nottingham more than expected).
Fields of papers citing papers by Andrew T. Nottingham
This network shows the impact of papers produced by Andrew T. Nottingham. 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 Andrew T. Nottingham. The network helps show where Andrew T. Nottingham may publish in the future.
Co-authorship network of co-authors of Andrew T. Nottingham
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew T. Nottingham. A scholar is included among the top collaborators of Andrew T. Nottingham based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew T. Nottingham. Andrew T. Nottingham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 28 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | Tree species diversity increases soil microbial carbon use efficiency in a subtropical forestbreakdown → | 97 |
| 7 | 3 | |
| 8 | 101 | |
| 9 | 95 | |
| 10 | 23 | |
| 11 | 15 | |
| 12 | 3 | |
| 13 | Soil carbon loss by experimental warming in a tropical forestbreakdown → | 206 |
| 14 | 98 | |
| 15 | Microbes follow Humboldt: temperature drives plant and soil microbial diversity patterns from the Amazon to the Andesbreakdown → | 229 |
| 16 | 74 | |
| 17 | 77 | |
| 18 | 81 | |
| 19 | Temperature sensitivity of soil respiration rates enhanced by microbial community responsebreakdown → | 538 |
| 20 | 70 |
About Andrew T. Nottingham
Andrew T. Nottingham is a scholar working on Soil Science, Ecology and Ecological Modeling, having authored 38 papers that have together received 2.8k indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (26 papers), Microbial Community Ecology and Physiology (11 papers) and Polar Research and Ecology (8 papers). The work is most often cited by research in Soil Science (1.8k citations), Ecology (1.3k citations) and Environmental Chemistry (370 citations). Andrew T. Nottingham has collaborated with scholars based in United Kingdom, Panama and Australia. Frequent co-authors include Patrick Meir, Benjamin L. Turner, Norma Salinas, Andrew W. Stott, Jeanette Whitaker, E. V. J. Tanner, Paul Chamberlain, Richard D. Bardgett, Nick Ostle and Niall P. McNamara. Their work appears in journals such as Nature, Nature Communications 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.