Joanna Sharp
Impact in
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics
- Soil erosion and sediment transport
- Environmental Chemistry top 10%
- Soil and Water Nutrient Dynamics
Papers in
- Soil Science 11
- Soil Carbon and Nitrogen Dynamics 9
-
- Plant nutrient uptake and metabolism 3
- Rice Cultivation and Yield Improvement 3
- Co-authors
- D. Curtin (4 shared papers)Mike Beare (2 shared papers)Rhys Parfitt (1 shared paper)Stephen McNeill (1 shared paper)Mike Dodd (1 shared paper)Hamish Brown (6 shared papers)Edmar Teixeira (3 shared papers)Esther D. Meenken (3 shared papers)
- Journals
- MethodsX (2 papers)Soil Research (1 paper)Computers & Geosciences (1 paper)Agriculture Ecosystems & Environment (1 paper)animal (1 paper)
- Partner nations
- New ZealandUnited KingdomAustralia
In The Last Decade
Joanna Sharp
20 papers receiving 313 citations
Peers
Comparison fields: 5 of 44
- Soil Science 203
- Environmental Chemistry 95
- Agronomy and Crop Science 75
- Forestry 23
- Ecology, Evolution, Behavior and Systematics 70
Countries citing papers authored by Joanna Sharp
This map shows the geographic impact of Joanna Sharp'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 Joanna Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna Sharp more than expected).
Fields of papers citing papers by Joanna Sharp
This network shows the impact of papers produced by Joanna Sharp. 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 Joanna Sharp. The network helps show where Joanna Sharp may publish in the future.
Co-authors
The 25 scholars most cited alongside Joanna Sharp, 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 | 2014 | 125 | |
| 2 | 2016 | 56 | |
| 3 | 2015 | 29 | |
| 4 | 2019 | 22 | |
| 5 | 2021 | 15 | |
| 6 | 2013 | 12 | |
| 7 | 2018 | 12 | |
| 8 | 2022 | 9 | |
| 9 | 2012 | 9 | |
| 10 | 2013 | 7 | |
| 11 | A validation of APSIM nitrogen balance and leaching predictions | 2011 | 6 |
| 12 | 2019 | 3 | |
| 13 | Design of the Offshore Ecology Investigation | 1979 | 3 |
| 14 | 2018 | 3 | |
| 15 | 1982 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2015 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2012 | 1 | |
| 20 | 2019 | 1 |
About Joanna Sharp
Joanna Sharp is a scholar working on Soil Science, Plant Science, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science and Environmental Chemistry, having authored 20 papers that have together received 319 indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (9 papers), Soil and Water Nutrient Dynamics (5 papers), Ruminant Nutrition and Digestive Physiology (4 papers), Plant nutrient uptake and metabolism (3 papers), Soil and Unsaturated Flow (3 papers), Rice Cultivation and Yield Improvement (3 papers), Climate change impacts on agriculture (3 papers) and Agroforestry and silvopastoral systems (3 papers). The work is most often cited by research in Soil Science (203 citations), Environmental Chemistry (95 citations), Agronomy and Crop Science (75 citations), Forestry (23 citations) and Ecology, Evolution, Behavior and Systematics (70 citations). Joanna Sharp has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include D. Curtin, Mike Beare, Rhys Parfitt, Stephen McNeill, Mike Dodd, Hamish Brown, Edmar Teixeira, Esther D. Meenken, S. Thomas and Frank Ewert. Their work appears in journals such as MethodsX, Soil Research, Computers & Geosciences, Agriculture Ecosystems & Environment and animal.
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.