Daniela Ramos‐Cruz

403 citations
6 papers · 282 · h-index 5

Impact in

    • Plant Molecular Biology Research
    • Plant Parasitism and Resistance
    • Plant-Microbe Interactions and Immunity
    • Plant nutrient uptake and metabolism

Papers in

    • Plant Molecular Biology Research 5
    • Plant Physiology and Cultivation Studies 2
    • Plant Parasitism and Resistance 2
    • Soybean genetics and cultivation 1
    • Plant Reproductive Biology 2

Daniela Ramos‐Cruz

6 papers receiving 280 citations

Peers

Daniela Ramos‐Cruz
Comparison fields: 5 of 32
  • Plant Science 250
  • Horticulture 3
  • Molecular Biology 166
  • Ecology, Evolution, Behavior and Systematics 35
  • Cell Biology 18
Replace Ron van der Hulst with:
Ron van der Hulst Netherlands
Conny Tränkner Germany
Michele Wyler Switzerland
Ruiming Lin China
César Álvarez-Mejía Mexico
Chao‐Jan Liao United States
Laure Bapaume Switzerland
Harrie Schneiders Netherlands
Bradley R. Dotson Sweden
Mohammad Foteh Ali United States
Daniela Ramos‐Cruz relative to Ron van der Hulst Netherlands Ron van der Hulst's profile →
Citations per field
00.5×3.4×
Ron van der Hulst · 1×
Citations per year

Countries citing papers authored by Daniela Ramos‐Cruz

Since Specialization
Citations

This map shows the geographic impact of Daniela Ramos‐Cruz'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 Daniela Ramos‐Cruz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Ramos‐Cruz more than expected).

Fields of papers citing papers by Daniela Ramos‐Cruz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Ramos‐Cruz. 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 Daniela Ramos‐Cruz. The network helps show where Daniela Ramos‐Cruz may publish in the future.

Co-authors

The 11 scholars most cited alongside Daniela Ramos‐Cruz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Ramos‐Cruz Line = papers co-authored together Daniela Ramos‐Cruz links everyone, so they are left out of the graph.

All Works

About Daniela Ramos‐Cruz

Daniela Ramos‐Cruz is a scholar working on Plant Science, Molecular Biology, Genetics, Insect Science and Infectious Diseases, having authored 6 papers that have together received 282 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (5 papers), Plant Physiology and Cultivation Studies (2 papers), Plant Parasitism and Resistance (2 papers), Plant Reproductive Biology (2 papers), Genetic diversity and population structure (1 paper), Soybean genetics and cultivation (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Silkworms and Sericulture Research (1 paper). The work is most often cited by research in Plant Science (250 citations), Horticulture (3 citations), Molecular Biology (166 citations), Ecology, Evolution, Behavior and Systematics (35 citations) and Cell Biology (18 citations). Daniela Ramos‐Cruz has collaborated with scholars based in Austria, Germany and Mexico. Frequent co-authors include Claude Becker, Conchita Alonso, Stefan de Folter, J. Irepan Reyes‐Olalde, Paulina Lozano‐Sotomayor, Nayelli Marsch‐Martínez, Víctor M. Zúñiga‐Mayo, Adam Nunn, Isaac Rodríguez‐Arévalo and Oliver Bossdorf. Their work appears in journals such as Current Opinion in Plant Biology, New Phytologist, Plant Signaling & Behavior, PLoS Genetics 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.

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