Daniela C. Zappi

278 total papers · 5.6k total citations
173 papers, 2.1k citations indexed

About

Daniela C. Zappi is a scholar working on Ecology, Evolution, Behavior and Systematics, Food Science and Plant Science. According to data from OpenAlex, Daniela C. Zappi has authored 173 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Ecology, Evolution, Behavior and Systematics, 71 papers in Food Science and 51 papers in Plant Science. Recurrent topics in Daniela C. Zappi's work include Plant Diversity and Evolution (129 papers), Plant and animal studies (109 papers) and Botanical Research and Applications (71 papers). Daniela C. Zappi is often cited by papers focused on Plant Diversity and Evolution (129 papers), Plant and animal studies (109 papers) and Botanical Research and Applications (71 papers). Daniela C. Zappi collaborates with scholars based in Brazil, United Kingdom and Singapore. Daniela C. Zappi's co-authors include Nigel P. Taylor, Evandro M. Moraes, Ana María Giulietti, Rafaela Campostrini Forzza, Eimear Nic Lughadha, Marcelo Freire Moro, Pedro Lage Viana, Lois Brako, James L. Zarucchi and Maurício Takashi Coutinho Watanabe and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Ecology.

In The Last Decade

Daniela C. Zappi

156 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniela C. Zappi 1.6k 573 555 402 374 173 2.1k
Patricia Dávila 777 0.5× 735 1.3× 544 1.0× 272 0.7× 220 0.6× 81 1.7k
Eve Lucas 1.6k 1.0× 523 0.9× 289 0.5× 343 0.9× 846 2.3× 119 2.1k
Reto Nyffeler 1.5k 0.9× 701 1.2× 716 1.3× 242 0.6× 643 1.7× 44 2.0k
Maximilian Weigend 2.2k 1.3× 1.3k 2.2× 268 0.5× 357 0.9× 1.2k 3.2× 192 2.9k
R. M. Harley 1.1k 0.7× 703 1.2× 301 0.5× 208 0.5× 579 1.5× 117 1.7k
Federico Luebert 1.2k 0.8× 642 1.1× 144 0.3× 293 0.7× 664 1.8× 83 1.8k
Efisio Mattana 887 0.6× 1.4k 2.4× 190 0.3× 622 1.5× 314 0.8× 96 2.0k
Victoria Sosa 1.4k 0.9× 737 1.3× 164 0.3× 462 1.1× 440 1.2× 124 2.1k
Stefanie M. Ickert‐Bond 1.6k 1.0× 1.1k 1.8× 223 0.4× 320 0.8× 1.0k 2.7× 75 2.5k
María C. Mandujano 881 0.6× 910 1.6× 822 1.5× 559 1.4× 114 0.3× 112 1.5k

Countries citing papers authored by Daniela C. Zappi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela C. Zappi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela C. Zappi. 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 C. Zappi. The network helps show where Daniela C. Zappi may publish in the future.

Co-authorship network of co-authors of Daniela C. Zappi

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela C. Zappi. A scholar is included among the top collaborators of Daniela C. Zappi 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 Daniela C. Zappi. Daniela C. Zappi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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