T. J. Gulya
- Co-authors
- Gerald J. SeilerLili QiYunming LongBrent S. HulkeBrady A. VickAndrew FriskopSamuel G. MarkellJerry R. Miller
- Topics
- Sunflower and Safflower Cultivation (19 papers)Soybean genetics and cultivation (7 papers)Powdery Mildew Fungal Diseases (3 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
T. J. Gulya
25 papers receiving 304 citations
Peers
Comparison fields: 5 of 32
- Plant Science 310
- Molecular Biology 125
- Agronomy and Crop Science 22
- Cell Biology 18
- Genetics 17
Countries citing papers authored by T. J. Gulya
This map shows the geographic impact of T. J. Gulya'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 T. J. Gulya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Gulya more than expected).
Fields of papers citing papers by T. J. Gulya
This network shows the impact of papers produced by T. J. Gulya. 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 T. J. Gulya. The network helps show where T. J. Gulya may publish in the future.
Co-authorship network of co-authors of T. J. Gulya
This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Gulya. A scholar is included among the top collaborators of T. J. Gulya 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 T. J. Gulya. T. J. Gulya 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 | 4 | |
| 3 | 50 | |
| 4 | 42 | |
| 5 | Downy Mildew of Sunflower | 23 |
| 6 | Wild sunflower species from the southeastern United States as potential sources for improving oil content and quality in cultivated sunflower | 1 |
| 7 | Amphiploids of Perennial Helianthus Species x Cultivated Sunflower Possess Valuable Genes for Resistance to Sclerotinia Stem and Head Rot | 1 |
| 8 | 2 | |
| 9 | Development of Sclerotinia Stem Rot Resistant Germplasm Utilizing Hexaploid Helianthus Species | 4 |
| 10 | 26 | |
| 11 | Efficacy of single and two-way fungicide seed treatments for the control of metalaxyl-resistant strains of Plasmopara halstedii (sunflower downy mildew). | 5 |
| 12 | 10 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 16 | |
| 17 | 18 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | Pepper leaf intercellular fluid composition after inoculation with Xanthomonas vesicatoria. | 1 |
About T. J. Gulya
T. J. Gulya is a scholar working on Plant Science, Agronomy and Crop Science and Fluid Flow and Transfer Processes, having authored 25 papers that have together received 317 indexed citations. Recurring topics across this work include Sunflower and Safflower Cultivation (19 papers), Soybean genetics and cultivation (7 papers) and Powdery Mildew Fungal Diseases (3 papers). The work is most often cited by research in Plant Science (310 citations), Agronomy and Crop Science (22 citations) and Horticulture (2 citations). T. J. Gulya has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Gerald J. Seiler, Lili Qi, Yunming Long, Brent S. Hulke, Brady A. Vick, Andrew Friskop, Samuel G. Markell, Jerry R. Miller, Mary B. Slabaugh and Melaku Gedil. Their work appears in journals such as Theoretical and Applied Genetics, Crop Science and Phytopathology.
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.