Cláudia Ulisses

71 total papers · 634 total citations
44 papers, 478 citations indexed

About

Cláudia Ulisses is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Cláudia Ulisses has authored 44 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 20 papers in Molecular Biology and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Cláudia Ulisses's work include Plant tissue culture and regeneration (19 papers), Growth and nutrition in plants (14 papers) and Plant Stress Responses and Tolerance (7 papers). Cláudia Ulisses is often cited by papers focused on Plant tissue culture and regeneration (19 papers), Growth and nutrition in plants (14 papers) and Plant Stress Responses and Tolerance (7 papers). Cláudia Ulisses collaborates with scholars based in Brazil, United States and Canada. Cláudia Ulisses's co-authors include Lília Willadino, Terezinha Rangel Câmara, Cynthia Cavalcanti de Albuquerque, Rosa de Lima Ramos Mariano, Cihelio Alves Amorim, Tercílio Calsa, Marcílio Martins de Moraes, José Luiz Sandes de Carvalho Filho, Cláudio Augusto Gomes da Câmara and Marcus Vinícius Loss Sperandio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Aquatic Toxicology and Journal of Arid Environments.

In The Last Decade

Cláudia Ulisses

40 papers receiving 460 citations

Author Peers

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

Author Last Decade Papers Cites
Cláudia Ulisses 381 140 97 41 39 44 478
Hassan Ebrahimzadeh 376 1.0× 113 0.8× 77 0.8× 40 1.0× 36 0.9× 30 468
Cleverson Busso 227 0.6× 134 1.0× 99 1.0× 29 0.7× 44 1.1× 37 456
Vikas Singh 307 0.8× 129 0.9× 55 0.6× 36 0.9× 10 0.3× 38 472
Dong Yeol Lee 326 0.9× 104 0.7× 72 0.7× 25 0.6× 25 0.6× 28 465
S. Shanmugasundaram 165 0.4× 105 0.8× 53 0.5× 50 1.2× 17 0.4× 49 440
Stanislav Magnitskiy 332 0.9× 78 0.6× 81 0.8× 30 0.7× 13 0.3× 75 451
Akansha Gupta 276 0.7× 98 0.7× 93 1.0× 124 3.0× 39 1.0× 28 550
Chunhui Ma 254 0.7× 99 0.7× 72 0.7× 32 0.8× 16 0.4× 57 483
Sijia Liu 246 0.6× 184 1.3× 129 1.3× 19 0.5× 13 0.3× 53 547
Minggui Gong 353 0.9× 54 0.4× 59 0.6× 43 1.0× 47 1.2× 23 421

Countries citing papers authored by Cláudia Ulisses

Since Specialization
Citations

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

Fields of papers citing papers by Cláudia Ulisses

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cláudia Ulisses. 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 Cláudia Ulisses. The network helps show where Cláudia Ulisses may publish in the future.

Co-authorship network of co-authors of Cláudia Ulisses

This figure shows the co-authorship network connecting the top 25 collaborators of Cláudia Ulisses. A scholar is included among the top collaborators of Cláudia Ulisses 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 Cláudia Ulisses. Cláudia Ulisses 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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2026