Samuel de Paula

37 total papers · 410 total citations
10 papers, 209 citations indexed

About

Samuel de Paula is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Samuel de Paula has authored 10 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 4 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Samuel de Paula's work include Plant-Microbe Interactions and Immunity (3 papers), Plant Pathogens and Fungal Diseases (3 papers) and Yeasts and Rust Fungi Studies (2 papers). Samuel de Paula is often cited by papers focused on Plant-Microbe Interactions and Immunity (3 papers), Plant Pathogens and Fungal Diseases (3 papers) and Yeasts and Rust Fungi Studies (2 papers). Samuel de Paula collaborates with scholars based in Brazil, United States and Germany. Samuel de Paula's co-authors include Sérgio Florentino Pascholati, Durval Dourado Neto, Denise Schmidt, Daniele Cristina Fontana, Ely Oliveira‐Garcia, Yan Xia, Míriam Osés-Ruiz, Nicholas J. Talbot, Simon J. Williams and Julian R. Greenwood and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and New Phytologist.

In The Last Decade

Samuel de Paula

9 papers receiving 207 citations

Hit Papers

Endophytic Fungi: Biologi... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Samuel de Paula 169 97 42 38 30 10 209
Edward C. Rojas 197 1.2× 124 1.3× 39 0.9× 32 0.8× 32 1.1× 9 244
A. Balasuriya 169 1.0× 142 1.5× 29 0.7× 61 1.6× 26 0.9× 17 211
Carlos A. López‐Quintero 175 1.0× 113 1.2× 69 1.6× 25 0.7× 40 1.3× 8 205
Deecksha Gomdola 181 1.1× 160 1.6× 25 0.6× 70 1.8× 34 1.1× 15 217
Rebecca Spanner 216 1.3× 121 1.2× 38 0.9× 55 1.4× 65 2.2× 12 270
Jana Monk 244 1.4× 98 1.0× 46 1.1× 52 1.4× 26 0.9× 13 290
Achala R. Rathnayaka 127 0.8× 119 1.2× 31 0.7× 49 1.3× 47 1.6× 12 196
Rajan Verma 223 1.3× 77 0.8× 40 1.0× 65 1.7× 43 1.4× 8 291
Sylvia Dias Guzzo 249 1.5× 84 0.9× 29 0.7× 69 1.8× 17 0.6× 17 273
Malek Marian 228 1.3× 100 1.0× 18 0.4× 43 1.1× 22 0.7× 13 271

Countries citing papers authored by Samuel de Paula

Since Specialization
Citations

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

Fields of papers citing papers by Samuel de Paula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel de Paula. 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 Samuel de Paula. The network helps show where Samuel de Paula may publish in the future.

Co-authorship network of co-authors of Samuel de Paula

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel de Paula. A scholar is included among the top collaborators of Samuel de Paula 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 Samuel de Paula. Samuel de Paula 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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