Juan David Arbelaez
- Molecular Biology top 10%
- Genetics top 2%
- Plant Science top 5%
- Cancer Research
- Pathology and Forensic Medicine
- Co-authors
- Kyle Kai‐How FarhAmirali KiaWenwu CuiYang LiSiavash Fazel DarbandiSerafim BatzoglouSofia Kyriazopoulou PanagiotopoulouEric D. Chow
- Topics
- Genetic Mapping and Diversity in Plants and Animals (13 papers)Rice Cultivation and Yield Improvement (11 papers)GABA and Rice Research (5 papers)
- Journals
- CellPLoS ONEPlant and Soil
- Partner nations
- United StatesPhilippinesFrance
In The Last Decade
Juan David Arbelaez
19 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 911
- Genetics 818
- Plant Science 613
- Cancer Research 119
- Pathology and Forensic Medicine 68
Countries citing papers authored by Juan David Arbelaez
This map shows the geographic impact of Juan David Arbelaez'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 David Arbelaez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan David Arbelaez more than expected).
Fields of papers citing papers by Juan David Arbelaez
This network shows the impact of papers produced by Juan David Arbelaez. 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 David Arbelaez. The network helps show where Juan David Arbelaez may publish in the future.
Co-authorship network of co-authors of Juan David Arbelaez
This figure shows the co-authorship network connecting the top 25 collaborators of Juan David Arbelaez. A scholar is included among the top collaborators of Juan David Arbelaez 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 Juan David Arbelaez. Juan David Arbelaez 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 | 4 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 25 | |
| 6 | 21 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | 49 | |
| 10 | 19 | |
| 11 | 10 | |
| 12 | Predicting Splicing from Primary Sequence with Deep Learningbreakdown → | 1250 |
| 13 | 55 | |
| 14 | Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder’s equationbreakdown → | 250 |
| 15 | 27 | |
| 16 | 17 | |
| 17 | 76 | |
| 18 | La producción de lirios (Lilium spp.) como flor de corte para exportación. Una revisión | 1 |
| 19 | 32 | |
| 20 | 53 |
About Juan David Arbelaez
Juan David Arbelaez is a scholar working on Plant Science, Genetics and Agronomy and Crop Science, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (13 papers), Rice Cultivation and Yield Improvement (11 papers) and GABA and Rice Research (5 papers). The work is most often cited by research in Genetics (818 citations), Plant Science (613 citations) and Molecular Biology (911 citations). Juan David Arbelaez has collaborated with scholars based in United States, Philippines and France. Frequent co-authors include Kyle Kai‐How Farh, Amirali Kia, Wenwu Cui, Yang Li, Siavash Fazel Darbandi, Serafim Batzoglou, Sofia Kyriazopoulou Panagiotopoulou, Eric D. Chow, Jack A. Kosmicki and Jeremy F. McRae. Their work appears in journals such as Cell, PLoS ONE and Plant and Soil.
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.