Daniel González‐Ibeas
Impact in
- Horticulture top 2%
- Endocrinology top 5%
- Plant and Fungal Interactions Research
Papers in
-
- Plant Virus Research Studies 7
- Plant Pathogenic Bacteria Studies 4
- Plant Molecular Biology Research 3
- Chromosomal and Genetic Variations 2
-
- Genomics and Phylogenetic Studies 4
- Plant Gene Expression Analysis 3
- Co-authors
- Miguel A. Aranda (9 shared papers)Livia Donaire (3 shared papers)César Llave (2 shared papers)Yu Wang (1 shared paper)Klaus Mayer (1 shared paper)José Blanca (5 shared papers)Verónica Truniger (3 shared papers)Jordi García-Más (4 shared papers)
- Journals
- BMC Genomics (3 papers)BMC Plant Biology (2 papers)The Plant Genome (2 papers)G3 Genes Genomes Genetics (2 papers)Molecular Plant-Microbe Interactions (1 paper)
- Partner nations
- SpainUnited StatesIndia
In The Last Decade
Daniel González‐Ibeas
16 papers receiving 686 citations
Peers
Comparison fields: 5 of 50
- Horticulture 58
- Endocrinology 152
- Plant Science 607
- Insect Science 90
- Genetics 147
Countries citing papers authored by Daniel González‐Ibeas
This map shows the geographic impact of Daniel González‐Ibeas'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 Daniel González‐Ibeas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel González‐Ibeas more than expected).
Fields of papers citing papers by Daniel González‐Ibeas
This network shows the impact of papers produced by Daniel González‐Ibeas. 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 Daniel González‐Ibeas. The network helps show where Daniel González‐Ibeas may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel González‐Ibeas, 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 | 2009 | 223 | |
| 2 | 2009 | 79 | |
| 3 | 2007 | 77 | |
| 4 | 2008 | 59 | |
| 5 | 2011 | 52 | |
| 6 | 2009 | 51 | |
| 7 | 2008 | 50 | |
| 8 | 2016 | 33 | |
| 9 | 2011 | 21 | |
| 10 | 2018 | 18 | |
| 11 | 2020 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2020 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 4 | |
| 16 | Chelura terebrans (Crustacea: Amphipoda) is capable of degrading wood independently of its associate, Limnoria | 1992 | 2 |
About Daniel González‐Ibeas
Daniel González‐Ibeas is a scholar working on Plant Science, Molecular Biology, Genetics, Insect Science and Pharmacology, having authored 16 papers that have together received 701 indexed citations. Recurring topics across this work include Plant Virus Research Studies (7 papers), Genomics and Phylogenetic Studies (4 papers), Plant Pathogenic Bacteria Studies (4 papers), Plant Molecular Biology Research (3 papers), Plant Gene Expression Analysis (3 papers), Advances in Cucurbitaceae Research (3 papers), Insect-Plant Interactions and Control (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Horticulture (58 citations), Endocrinology (152 citations), Plant Science (607 citations), Insect Science (90 citations) and Genetics (147 citations). Daniel González‐Ibeas has collaborated with scholars based in Spain, United States and India. Frequent co-authors include Miguel A. Aranda, Livia Donaire, César Llave, Yu Wang, Klaus Mayer, José Blanca, Verónica Truniger, Jordi García-Más, Cristina Nieto and Fernando Nuez. Their work appears in journals such as BMC Genomics, BMC Plant Biology, The Plant Genome, G3 Genes Genomes Genetics and Molecular Plant-Microbe Interactions.
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.