Pablo Mora
Impact in
- Plant Science top 10%
- Chromosomal and Genetic Variations
- Plant Virus Research Studies
- Plant Disease Resistance and Genetics
Papers in
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- Chromosomal and Genetic Variations 17
- Plant Virus Research Studies 11
- Plant Disease Resistance and Genetics 6
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- Insect Resistance and Genetics 13
- Co-authors
- Pedro Lorite (35 shared papers)Teresa Palomeque (31 shared papers)Eugenia E. Montiel (13 shared papers)Sebastián Pita (11 shared papers)Francisco Panzera (9 shared papers)Diogo Cavalcanti Cabral-de-Mello (10 shared papers)Antonio Sánchez (5 shared papers)Ángeles Cuadrado (3 shared papers)
In The Last Decade
Pablo Mora
46 papers receiving 476 citations
Peers
Comparison fields: 5 of 58
- Plant Science 286
- Drug Discovery 1
- Insect Science 72
- Genetics 129
- Ecology, Evolution, Behavior and Systematics 75
Countries citing papers authored by Pablo Mora
This map shows the geographic impact of Pablo Mora'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 Pablo Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Mora more than expected).
Fields of papers citing papers by Pablo Mora
This network shows the impact of papers produced by Pablo Mora. 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 Pablo Mora. The network helps show where Pablo Mora may publish in the future.
Co-authors
The 25 scholars most cited alongside Pablo Mora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 61 | |
| 2 | 2017 | 35 | |
| 3 | 2022 | 30 | |
| 4 | 2020 | 30 | |
| 5 | 2023 | 29 | |
| 6 | 2023 | 25 | |
| 7 | 2024 | 24 | |
| 8 | 2017 | 24 | |
| 9 | 2017 | 22 | |
| 10 | 2016 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2018 | 15 | |
| 13 | 2023 | 13 | |
| 14 | 2024 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 10 | |
| 17 | 2024 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2015 | 7 | |
| 20 | 2022 | 7 |
About Pablo Mora
Pablo Mora is a scholar working on Plant Science, Molecular Biology, Genetics, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 48 papers that have together received 485 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (17 papers), Insect Resistance and Genetics (13 papers), Plant Virus Research Studies (11 papers), Insect symbiosis and bacterial influences (8 papers), Insect and Arachnid Ecology and Behavior (7 papers), Plant Disease Resistance and Genetics (6 papers), Insect-Plant Interactions and Control (6 papers) and Coleoptera Taxonomy and Distribution (5 papers). The work is most often cited by research in Plant Science (286 citations), Drug Discovery (1 citation), Insect Science (72 citations), Genetics (129 citations) and Ecology, Evolution, Behavior and Systematics (75 citations). Pablo Mora has collaborated with scholars based in Spain, Brazil and Uruguay. Frequent co-authors include Pedro Lorite, Teresa Palomeque, Eugenia E. Montiel, Sebastián Pita, Francisco Panzera, Diogo Cavalcanti Cabral-de-Mello, Antonio Sánchez, Ángeles Cuadrado, Christopher G. Parkin and Bettina Petersen. Their work appears in journals such as Genes, Insects, International Journal of Molecular Sciences, Molecular Ecology and Scientific Reports.
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.