Juan M. Debernardi
- Plant Science top 0.5%
- Plant Molecular Biology Research 23
- Chromosomal and Genetic Variations 6
- Plant nutrient uptake and metabolism 6
- Light effects on plants 6
- Plant Stress Responses and Tolerance 5
- Wheat and Barley Genetics and Pathology 5
- Molecular Biology top 5%
- Plant Reproductive Biology 9
- CRISPR and Genetic Engineering 7
- Agronomy and Crop Science top 5%
- Genetics top 10%
- Co-authors
- Javier F. PalatnikRamiro E. RodríguezMartín A. MecchiaJorge DubcovskyCarla SchommerMaría Florencia ErcoliDetlef WeigelDavid M. Tricoli
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Biotechnology (1 paper)The Plant Cell (5 papers)
- Partner nations
- United StatesArgentinaGermany
In The Last Decade
Juan M. Debernardi
36 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Plant Science 2.8k
- Molecular Biology 1.9k
- Agronomy and Crop Science 187
- Genetics 296
- Horticulture 10
Countries citing papers authored by Juan M. Debernardi
This map shows the geographic impact of Juan M. Debernardi'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 Juan M. Debernardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan M. Debernardi more than expected).
Fields of papers citing papers by Juan M. Debernardi
This network shows the impact of papers produced by Juan M. Debernardi. 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 Juan M. Debernardi. The network helps show where Juan M. Debernardi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juan M. Debernardi, 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 | 2024 | 6 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 26 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 26 | |
| 10 | 2021 | 51 | |
| 11 | 2018 | 47 | |
| 12 | 2017 | 55 | |
| 13 | 2017 | 132 | |
| 14 | 2016 | 57 | |
| 15 | 2015 | 135 | |
| 16 | 2014 | 208 | |
| 17 | 2014 | 206 | |
| 18 | 2014 | 247 | |
| 19 | 2013 | 80 | |
| 20 | 2012 | 65 |
About Juan M. Debernardi
Juan M. Debernardi is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology, having authored 36 papers that have together received 3.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (23 papers), Plant Reproductive Biology (9 papers), CRISPR and Genetic Engineering (7 papers), Chromosomal and Genetic Variations (6 papers), Plant nutrient uptake and metabolism (6 papers), Light effects on plants (6 papers), Plant Stress Responses and Tolerance (5 papers) and Wheat and Barley Genetics and Pathology (5 papers). The work is most often cited by research in Plant Science (2.8k citations), Molecular Biology (1.9k citations) and Agronomy and Crop Science (187 citations). Juan M. Debernardi has collaborated with scholars based in United States, Argentina and Germany. Frequent co-authors include Javier F. Palatnik, Ramiro E. Rodríguez, Martín A. Mecchia, Jorge Dubcovsky, Carla Schommer, María Florencia Ercoli, Detlef Weigel, David M. Tricoli, Pamela C. Ronald and Şadiye Hayta. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and The Plant Cell.
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.