Katherine E. Guill
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Genetics and Plant Breeding
- Chromosomal and Genetic Variations
- Plant Stress Responses and Tolerance
- Plant Disease Resistance and Genetics
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
-
- Genetics and Plant Breeding 5
- Plant Molecular Biology Research 2
- Wheat and Barley Genetics and Pathology 2
- Soybean genetics and cultivation 1
- Plant nutrient uptake and metabolism 1
- Plant responses to water stress 1
- Genetics 7
- Genetic Mapping and Diversity in Plants and Animals 7
- Genetic and phenotypic traits in livestock 3
- Co-authors
- Michael D. McMullen (8 shared papers)Doreen Ware (1 shared paper)Jer-Ming Chia (1 shared paper)Christopher A. Maher (1 shared paper)Lifang Zhang (1 shared paper)Apurva Narechania (1 shared paper)Zhijie Liu (1 shared paper)Joshua C. Stein (1 shared paper)
- Journals
- PLoS Genetics (3 papers)Genetics Research (1 paper)BMC Bioinformatics (1 paper)BMC Plant Biology (1 paper)Applications in Plant Sciences (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Katherine E. Guill
10 papers receiving 566 citations
Peers
Comparison fields: 5 of 47
- Plant Science 496
- Genetics 222
- Molecular Biology 201
- Agronomy and Crop Science 26
- Cancer Research 31
Countries citing papers authored by Katherine E. Guill
This map shows the geographic impact of Katherine E. Guill'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 Katherine E. Guill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine E. Guill more than expected).
Fields of papers citing papers by Katherine E. Guill
This network shows the impact of papers produced by Katherine E. Guill. 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 Katherine E. Guill. The network helps show where Katherine E. Guill may publish in the future.
Co-authors
The 25 scholars most cited alongside Katherine E. Guill, 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 | 2009 | 291 | |
| 2 | 2017 | 121 | |
| 3 | 2015 | 44 | |
| 4 | 2015 | 39 | |
| 5 | 2010 | 36 | |
| 6 | 2019 | 27 | |
| 7 | 2008 | 13 | |
| 8 | MAIZE AMINO ACID PATHWAYS MAINTAIN HIGH LEVELS OF GENETIC DIVERSITY | 2009 | 7 |
| 9 | 2023 | 3 | |
| 10 | 2021 | 1 |
About Katherine E. Guill
Katherine E. Guill is a scholar working on Plant Science, Genetics, Molecular Biology, Ecology and Infectious Diseases, having authored 10 papers that have together received 582 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetics and Plant Breeding (5 papers), Genetic and phenotypic traits in livestock (3 papers), Plant Molecular Biology Research (2 papers), Wheat and Barley Genetics and Pathology (2 papers), Soybean genetics and cultivation (1 paper), Plant nutrient uptake and metabolism (1 paper) and Plant responses to water stress (1 paper). The work is most often cited by research in Plant Science (496 citations), Genetics (222 citations), Molecular Biology (201 citations), Agronomy and Crop Science (26 citations) and Cancer Research (31 citations). Katherine E. Guill has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Michael D. McMullen, Doreen Ware, Jer-Ming Chia, Christopher A. Maher, Lifang Zhang, Apurva Narechania, Zhijie Liu, Joshua C. Stein, Sunita Kumari and Jeffrey Ross‐Ibarra. Their work appears in journals such as PLoS Genetics, Genetics Research, BMC Bioinformatics, BMC Plant Biology and Applications in Plant Sciences.
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.