Fernando de Oliveira

57 total papers · 681 total citations
39 papers, 525 citations indexed

About

Fernando de Oliveira is a scholar working on Plant Science, Molecular Biology and Biomaterials. According to data from OpenAlex, Fernando de Oliveira has authored 39 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 13 papers in Molecular Biology and 6 papers in Biomaterials. Recurrent topics in Fernando de Oliveira's work include Phytochemistry Medicinal Plant Applications (11 papers), Natural product bioactivities and synthesis (8 papers) and Natural Fiber Reinforced Composites (5 papers). Fernando de Oliveira is often cited by papers focused on Phytochemistry Medicinal Plant Applications (11 papers), Natural product bioactivities and synthesis (8 papers) and Natural Fiber Reinforced Composites (5 papers). Fernando de Oliveira collaborates with scholars based in Brazil, Japan and France. Fernando de Oliveira's co-authors include Elisabete Frollini, Elaine C. Ramires, Mohamed Naceur Belgacem, Yoshinori Shiobara, Gokithi Akisue, Goro Hashimoto, Nobushige Nishimoto, Cristina Gomes da Silva, Tsunematsu Takemoto and Keiko Kato and has published in prestigious journals such as Chemical Engineering Journal, International Journal of Molecular Sciences and Phytochemistry.

In The Last Decade

Fernando de Oliveira

38 papers receiving 497 citations

Author Peers

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

Author						Papers	Cites
Fernando de Oliveira	196	176	112	105	92	39	525
Gentil J. Vidotti	126 0.6×	128 0.7×	52 0.5×	112 1.1×	94 1.0×	28	535
Paul‐Henri Ducrot	133 0.7×	123 0.7×	78 0.7×	71 0.7×	68 0.7×	22	481
Jin Sil Lee	116 0.6×	97 0.6×	47 0.4×	165 1.6×	137 1.5×	42	571
Javid A. Banday	105 0.5×	77 0.4×	51 0.5×	120 1.1×	54 0.6×	46	472
Segni Ladjel	226 1.2×	61 0.3×	43 0.4×	79 0.8×	34 0.4×	48	455
Fredi Brühlmann	198 1.0×	213 1.2×	59 0.5×	106 1.0×	101 1.1×	14	489
Lele Chen	110 0.6×	171 1.0×	13 0.1×	60 0.6×	79 0.9×	50	501
Fengxia Ren	78 0.4×	165 0.9×	33 0.3×	54 0.5×	49 0.5×	34	545
Shengliang Liao	118 0.6×	78 0.4×	118 1.1×	91 0.9×	63 0.7×	40	517
Anand B. Melkani	263 1.3×	193 1.1×	18 0.2×	42 0.4×	94 1.0×	49	558

Countries citing papers authored by Fernando de Oliveira

Since Specialization

Citations

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

Fields of papers citing papers by Fernando de Oliveira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando de Oliveira

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