David M. Tricoli
- Plant Science top 2%
- Molecular Biology top 10%
- Biotechnology top 2%
- Genetics
- Insect Science top 5%
- Co-authors
- Juan M. DebernardiJavier F. PalatnikPamela C. RonaldMaría Florencia ErcoliŞadiye HaytaJorge DubcovskyDennis GonsalvesKim J. Carney
- Topics
- Transgenic Plants and Applications (12 papers)Plant tissue culture and regeneration (12 papers)Plant Virus Research Studies (10 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
David M. Tricoli
24 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Plant Science 1.3k
- Molecular Biology 1.2k
- Biotechnology 315
- Genetics 103
- Insect Science 100
Countries citing papers authored by David M. Tricoli
This map shows the geographic impact of David M. Tricoli'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 David M. Tricoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Tricoli more than expected).
Fields of papers citing papers by David M. Tricoli
This network shows the impact of papers produced by David M. Tricoli. 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 David M. Tricoli. The network helps show where David M. Tricoli may publish in the future.
Co-authorship network of co-authors of David M. Tricoli
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Tricoli. A scholar is included among the top collaborators of David M. Tricoli 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 David M. Tricoli. David M. Tricoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 16 | |
| 3 | A GRF–GIF chimeric protein improves the regeneration efficiency of transgenic plantsbreakdown → | 384 |
| 4 | 12 | |
| 5 | Advancing Crop Transformation in the Era of Genome Editingbreakdown → | 480 |
| 6 | 19 | |
| 7 | 7 | |
| 8 | 80 | |
| 9 | 56 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | 38 | |
| 14 | 44 | |
| 15 | 46 | |
| 16 | 88 | |
| 17 | (The Plant Journal,09:899-909)Post-transcriptional transgene silencing and consequent tospovirus resistance in transgenic lettuce are affected by transgene dosage and plant development | 20 |
| 18 | 32 | |
| 19 | 22 | |
| 20 | 29 |
About David M. Tricoli
David M. Tricoli is a scholar working on Biotechnology, Plant Science and Molecular Biology, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (12 papers), Plant tissue culture and regeneration (12 papers) and Plant Virus Research Studies (10 papers). The work is most often cited by research in Biotechnology (315 citations), Plant Science (1.3k citations) and Horticulture (20 citations). David M. Tricoli has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Juan M. Debernardi, Javier F. Palatnik, Pamela C. Ronald, María Florencia Ercoli, Şadiye Hayta, Jorge Dubcovsky, Dennis Gonsalves, Kim J. Carney, June I. Medford and Laura Bartley. Their work appears in journals such as Nature Biotechnology, The Plant Cell and The Plant Journal.
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.