Christopher W. Schadt
- Ecology top 0.2%
- Plant Science top 0.2%
- Soil Science top 0.2%
- Molecular Biology top 5%
- Pollution top 0.5%
- Co-authors
- Aimée T. ClassenJizhong ZhouSteven K. SchmidtHector F. CastroDavid A. LipsonZamin K. YangRytas VilgalysGerald A. Tuskan
- Topics
- Microbial Community Ecology and Physiology (43 papers)Soil Carbon and Nitrogen Dynamics (35 papers)Mycorrhizal Fungi and Plant Interactions (27 papers)
- Cited by
- Soil ScienceEcologyPlant Science
- Partner nations
- United StatesChinaCanada
In The Last Decade
Christopher W. Schadt
141 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Ecology 5.0k
- Plant Science 4.2k
- Soil Science 2.9k
- Molecular Biology 2.5k
- Pollution 1.1k
Countries citing papers authored by Christopher W. Schadt
This map shows the geographic impact of Christopher W. Schadt'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 Christopher W. Schadt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher W. Schadt more than expected).
Fields of papers citing papers by Christopher W. Schadt
This network shows the impact of papers produced by Christopher W. Schadt. 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 Christopher W. Schadt. The network helps show where Christopher W. Schadt may publish in the future.
Co-authorship network of co-authors of Christopher W. Schadt
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher W. Schadt. A scholar is included among the top collaborators of Christopher W. Schadt 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 Christopher W. Schadt. Christopher W. Schadt 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 | 6 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 21 | |
| 8 | 36 | |
| 9 | 63 | |
| 10 | 34 | |
| 11 | 2 | |
| 12 | 48 | |
| 13 | Microbial responses to experimental warming in a peatland forest ecosystem | 1 |
| 14 | 115 | |
| 15 | 110 | |
| 16 | 32 | |
| 17 | 221 | |
| 18 | Developing an Enzyme Mediated Soil Organic Carbon Decomposition Model | 1 |
| 19 | 35 | |
| 20 | 413 |
About Christopher W. Schadt
Christopher W. Schadt is a scholar working on Soil Science, Ecology and Environmental Chemistry, having authored 143 papers that have together received 11.1k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (43 papers), Soil Carbon and Nitrogen Dynamics (35 papers) and Mycorrhizal Fungi and Plant Interactions (27 papers). The work is most often cited by research in Soil Science (2.9k citations), Ecology (5.0k citations) and Plant Science (4.2k citations). Christopher W. Schadt has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Aimée T. Classen, Jizhong Zhou, Steven K. Schmidt, Hector F. Castro, David A. Lipson, Zamin K. Yang, Rytas Vilgalys, Gerald A. Tuskan, Emily E. Austin and Melissa A. Cregger. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.