Eric Ganko
Impact in
- Aging top 10%
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Plant Disease Resistance and Genetics
- Plant Molecular Biology Research
- Plant Virus Research Studies
Papers in ⓘ
- Aging 1
-
- Chromosomal and Genetic Variations 8
- Plant Virus Research Studies 5
- Co-authors
- Blake C. Meyers (1 shared paper)Todd Vision (2 shared papers)John F. McDonald (5 shared papers)Eugene M McCarthy (1 shared paper)Li‐Zhi Gao (1 shared paper)Lucía F. Franchini (1 shared paper)Gerald E. Edwards (1 shared paper)V. I. P’yankov (1 shared paper)
- Journals
- BMC Genomics (3 papers)Molecular Biology and Evolution (3 papers)PLoS Computational Biology (1 paper)PLoS Genetics (1 paper)Regulatory Toxicology and Pharmacology (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Eric Ganko
14 papers receiving 533 citations
Peers
Comparison fields: 5 of 51
- Aging 20
- Plant Science 415
- Horticulture 6
- Molecular Biology 385
- Insect Science 47
Countries citing papers authored by Eric Ganko
This map shows the geographic impact of Eric Ganko'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 Eric Ganko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Ganko more than expected).
Fields of papers citing papers by Eric Ganko
This network shows the impact of papers produced by Eric Ganko. 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 Eric Ganko. The network helps show where Eric Ganko may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Ganko, 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 | 2007 | 198 | |
| 2 | 2000 | 61 | |
| 3 | 2004 | 60 | |
| 4 | 2003 | 51 | |
| 5 | 2001 | 38 | |
| 6 | 2004 | 37 | |
| 7 | 2006 | 21 | |
| 8 | 2002 | 20 | |
| 9 | 2022 | 19 | |
| 10 | 2023 | 18 | |
| 11 | 2012 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2009 | 4 | |
| 14 | 2022 | 1 |
About Eric Ganko
Eric Ganko is a scholar working on Aging, Plant Science, Insect Science, Molecular Biology and Biotechnology, having authored 14 papers that have together received 544 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (8 papers), Plant Virus Research Studies (5 papers), Genomics and Phylogenetic Studies (4 papers), Insect Resistance and Genetics (4 papers), Insect-Plant Interactions and Control (2 papers), CRISPR and Genetic Engineering (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Insect and Pesticide Research (1 paper). The work is most often cited by research in Aging (20 citations), Plant Science (415 citations), Horticulture (6 citations), Molecular Biology (385 citations) and Insect Science (47 citations). Eric Ganko has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Blake C. Meyers, Todd Vision, John F. McDonald, Eugene M McCarthy, Li‐Zhi Gao, Lucía F. Franchini, Gerald E. Edwards, V. I. P’yankov, Maurice S. B. Ku and Elena V. Voznesenskaya. Their work appears in journals such as BMC Genomics, Molecular Biology and Evolution, PLoS Computational Biology, PLoS Genetics and Regulatory Toxicology and Pharmacology.
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.