Georgia C. Eizenga
- Plant Science top 0.5%
- Genetics top 0.5%
- Molecular Biology
- Environmental Chemistry top 5%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Md Liakat AliHesham A. AgramaSusan R. McCouchAnna M. McClungMark H. WrightChih‐Wei TungCarlos D. BustamanteAndy Reynolds
- Topics
- Genetic Mapping and Diversity in Plants and Animals (32 papers)Rice Cultivation and Yield Improvement (23 papers)Plant Disease Resistance and Genetics (21 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Georgia C. Eizenga
56 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Plant Science 2.8k
- Genetics 1.9k
- Molecular Biology 459
- Environmental Chemistry 184
- Ecology, Evolution, Behavior and Systematics 123
Countries citing papers authored by Georgia C. Eizenga
This map shows the geographic impact of Georgia C. Eizenga'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 Georgia C. Eizenga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgia C. Eizenga more than expected).
Fields of papers citing papers by Georgia C. Eizenga
This network shows the impact of papers produced by Georgia C. Eizenga. 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 Georgia C. Eizenga. The network helps show where Georgia C. Eizenga may publish in the future.
Co-authorship network of co-authors of Georgia C. Eizenga
This figure shows the co-authorship network connecting the top 25 collaborators of Georgia C. Eizenga. A scholar is included among the top collaborators of Georgia C. Eizenga 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 Georgia C. Eizenga. Georgia C. Eizenga 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 | 0 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 13 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 105 | |
| 10 | 62 | |
| 11 | 133 | |
| 12 | Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativabreakdown → | 1006 |
| 13 | 119 | |
| 14 | 98 | |
| 15 | Identification of blast resistance genes in wild relatives of rice (Oryza spp.) and newly introduced rice (O. sativa) lines. | 2 |
| 16 | 61 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | Mapping the Agropyron segment of wheat-alien 7D/7Ag transfers 8 and 10. | 1 |
About Georgia C. Eizenga
Georgia C. Eizenga is a scholar working on Environmental Chemistry, Plant Science and Genetics, having authored 58 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (32 papers), Rice Cultivation and Yield Improvement (23 papers) and Plant Disease Resistance and Genetics (21 papers). The work is most often cited by research in Plant Science (2.8k citations), Genetics (1.9k citations) and Environmental Chemistry (184 citations). Georgia C. Eizenga has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Md Liakat Ali, Hesham A. Agrama, Susan R. McCouch, Anna M. McClung, Mark H. Wright, Chih‐Wei Tung, Carlos D. Bustamante, Andy Reynolds, Keyan Zhao and Yan Wang. Their work appears in journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.
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.