Jeremy Schmutz
- Plant Science top 0.2%
- Molecular Biology top 1%
- Genetics top 0.2%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Ecology top 2%
- Co-authors
- Jane GrimwoodR MyersDavid M. KingsleyMark DicksonJerry JenkinsDolph SchluterGuadalupe VillarrealPamela F. Colosimo
- Topics
- Chromosomal and Genetic Variations (29 papers)Genomics and Phylogenetic Studies (28 papers)Bioenergy crop production and management (27 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jeremy Schmutz
171 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Plant Science 5.3k
- Molecular Biology 5.0k
- Genetics 3.7k
- Ecology, Evolution, Behavior and Systematics 1.3k
- Ecology 1.1k
Countries citing papers authored by Jeremy Schmutz
This map shows the geographic impact of Jeremy Schmutz'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 Jeremy Schmutz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy Schmutz more than expected).
Fields of papers citing papers by Jeremy Schmutz
This network shows the impact of papers produced by Jeremy Schmutz. 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 Jeremy Schmutz. The network helps show where Jeremy Schmutz may publish in the future.
Co-authorship network of co-authors of Jeremy Schmutz
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Schmutz. A scholar is included among the top collaborators of Jeremy Schmutz 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 Jeremy Schmutz. Jeremy Schmutz 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 | 10 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 17 | |
| 6 | 17 | |
| 7 | 6 | |
| 8 | 12 | |
| 9 | 24 | |
| 10 | 55 | |
| 11 | 7 | |
| 12 | 26 | |
| 13 | 10 | |
| 14 | 273 | |
| 15 | 109 | |
| 16 | 215 | |
| 17 | 142 | |
| 18 | 132 | |
| 19 | Adaptive Evolution of Pelvic Reduction in Sticklebacks by Recurrent Deletion of a Pitx1 Enhancerbreakdown → | 751 |
| 20 | Widespread Parallel Evolution in Sticklebacks by Repeated Fixation of Ectodysplasin Allelesbreakdown → | 1134 |
About Jeremy Schmutz
Jeremy Schmutz is a scholar working on Agronomy and Crop Science, Plant Science and Endocrinology, having authored 176 papers that have together received 11.5k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (29 papers), Genomics and Phylogenetic Studies (28 papers) and Bioenergy crop production and management (27 papers). The work is most often cited by research in Plant Science (5.3k citations), Genetics (3.7k citations) and Molecular Biology (5.0k citations). Jeremy Schmutz has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jane Grimwood, R Myers, David M. Kingsley, Mark Dickson, Jerry Jenkins, Dolph Schluter, Guadalupe Villarreal, Pamela F. Colosimo, Felicity C. Jones and Kerrie Barry. Their work appears in journals such as Nature, Science and Cell.
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.