Shawn M. Kaeppler
- Plant Science top 0.05%
- Molecular Biology top 2%
- Genetics top 0.5%
- Agronomy and Crop Science top 0.2%
- Biomedical Engineering top 5%
- Co-authors
- Jonathan P. LynchNatalia de LeónHeidi F. KaepplerC. Robin BuellR. L. PhillipsRajandeep S. SekhonJinming ZhuKathleen M. Brown
- Topics
- Genetic Mapping and Diversity in Plants and Animals (67 papers)Genetics and Plant Breeding (34 papers)Chromosomal and Genetic Variations (29 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Shawn M. Kaeppler
158 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Plant Science 8.2k
- Molecular Biology 3.6k
- Genetics 2.5k
- Agronomy and Crop Science 1.6k
- Biomedical Engineering 541
Countries citing papers authored by Shawn M. Kaeppler
This map shows the geographic impact of Shawn M. Kaeppler'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 Shawn M. Kaeppler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn M. Kaeppler more than expected).
Fields of papers citing papers by Shawn M. Kaeppler
This network shows the impact of papers produced by Shawn M. Kaeppler. 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 Shawn M. Kaeppler. The network helps show where Shawn M. Kaeppler may publish in the future.
Co-authorship network of co-authors of Shawn M. Kaeppler
This figure shows the co-authorship network connecting the top 25 collaborators of Shawn M. Kaeppler. A scholar is included among the top collaborators of Shawn M. Kaeppler 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 Shawn M. Kaeppler. Shawn M. Kaeppler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 32 | |
| 7 | 16 | |
| 8 | 8 | |
| 9 | 40 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | 38 | |
| 13 | 54 | |
| 14 | Cloning of Vgt3, a major QTL for flowering time in maize | 1 |
| 15 | 107 | |
| 16 | 139 | |
| 17 | Insights into the Maize Pan-Genome and Pan-Transcriptome breakdown → | 360 |
| 18 | 9 | |
| 19 | Evaluation of six mycorrhizal isolates for their ability to promote growth of maize genotypes under phosphorus deficiency | 10 |
| 20 | 148 |
About Shawn M. Kaeppler
Shawn M. Kaeppler is a scholar working on Agronomy and Crop Science, Plant Science and Genetics, having authored 162 papers that have together received 9.8k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (67 papers), Genetics and Plant Breeding (34 papers) and Chromosomal and Genetic Variations (29 papers). The work is most often cited by research in Plant Science (8.2k citations), Agronomy and Crop Science (1.6k citations) and Genetics (2.5k citations). Shawn M. Kaeppler has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jonathan P. Lynch, Natalia de León, Heidi F. Kaeppler, C. Robin Buell, R. L. Phillips, Rajandeep S. Sekhon, Jinming Zhu, Kathleen M. Brown, Nathan M. Springer and Yong Rhee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.