John V. da Graça
- Plant Science top 1%
- Insect Science top 1%
- Horticulture top 0.1%
- Molecular Biology
- Endocrinology top 5%
- Co-authors
- T. R. GottwaldRenato Beozzo BassaneziMadhurababu KuntaGeorgios VidalakisManjunath L. KeremaneSusan E. HalbertRichard F. LeeHongwei Zhao
- Topics
- Plant Virus Research Studies (34 papers)Phytoplasmas and Hemiptera pathogens (30 papers)Plant Pathogenic Bacteria Studies (19 papers)
- Partner nations
- United StatesSouth AfricaChina
In The Last Decade
John V. da Graça
68 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 70
- Plant Science 1.4k
- Insect Science 675
- Horticulture 423
- Molecular Biology 141
- Endocrinology 121
Countries citing papers authored by John V. da Graça
This map shows the geographic impact of John V. da Graça'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 John V. da Graça with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John V. da Graça more than expected).
Fields of papers citing papers by John V. da Graça
This network shows the impact of papers produced by John V. da Graça. 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 John V. da Graça. The network helps show where John V. da Graça may publish in the future.
Co-authorship network of co-authors of John V. da Graça
This figure shows the co-authorship network connecting the top 25 collaborators of John V. da Graça. A scholar is included among the top collaborators of John V. da Graça 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 John V. da Graça. John V. da Graça 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 | 6 | |
| 3 | 3 | |
| 4 | 24 | |
| 5 | 23 | |
| 6 | 22 | |
| 7 | 238 | |
| 8 | 0 | |
| 9 | 24 | |
| 10 | 4 | |
| 11 | 17 | |
| 12 | 317 | |
| 13 | 13 | |
| 14 | Studies on the cultural control of virus diseases in zucchini crops | 2 |
| 15 | Viruses Infecting Cucurbits in KwaZulu-Natal,South Africa | 3 |
| 16 | 5 | |
| 17 | A decline of citrus in South Africa resembling young tree decline. | 8 |
| 18 | A disorder in South Africa resembling citrus impietratura disease. | 1 |
| 19 | 5 | |
| 20 | 1 |
About John V. da Graça
John V. da Graça is a scholar working on Horticulture, Plant Science and Insect Science, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include Plant Virus Research Studies (34 papers), Phytoplasmas and Hemiptera pathogens (30 papers) and Plant Pathogenic Bacteria Studies (19 papers). The work is most often cited by research in Horticulture (423 citations), Insect Science (675 citations) and Plant Science (1.4k citations). John V. da Graça has collaborated with scholars based in United States, South Africa and China. Frequent co-authors include T. R. Gottwald, Renato Beozzo Bassanezi, Madhurababu Kunta, Georgios Vidalakis, Manjunath L. Keremane, Susan E. Halbert, Richard F. Lee, Hongwei Zhao, Greg W. Douhan and Mamoudou Sétamou. Their work appears in journals such as Scientific Reports, Annual Review of Phytopathology and Journal of General Virology.
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.