Fernando Silveira

25 total papers · 496 total citations
21 papers, 382 citations indexed

About

Fernando Silveira is a scholar working on Immunology, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Fernando Silveira has authored 21 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 7 papers in Molecular Biology and 4 papers in Animal Science and Zoology. Recurrent topics in Fernando Silveira's work include Toxin Mechanisms and Immunotoxins (7 papers), Natural product bioactivities and synthesis (6 papers) and Immunotherapy and Immune Responses (5 papers). Fernando Silveira is often cited by papers focused on Toxin Mechanisms and Immunotoxins (7 papers), Natural product bioactivities and synthesis (6 papers) and Immunotherapy and Immune Responses (5 papers). Fernando Silveira collaborates with scholars based in Uruguay, Brazil and Canada. Fernando Silveira's co-authors include Samuel Paulo Cibulski, Paulo Michel Roehe, Thais Fumaco Teixeira, Anna Carolina Alves Yendo, Gustavo Mourglia‐Ettlin, Fernando Ferreira, Grace Gosmann, Carlos Carmona, Arthur Germano Fett‐Neto and Fernanda de Costa and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and Vaccine.

In The Last Decade

Fernando Silveira

19 papers receiving 378 citations

Author Peers

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

Author						Papers	Cites
Fernando Silveira	150	146	76	75	66	21	382
Hengchang Sun	127 0.8×	82 0.6×	64 0.8×	64 0.9×	41 0.6×	26	431
Hana Kudláčková	91 0.6×	61 0.4×	97 1.3×	53 0.7×	59 0.9×	28	428
R. W. Sweeney	70 0.5×	95 0.7×	51 0.7×	70 0.9×	137 2.1×	16	397
Mitsuru Nagataki	145 1.0×	82 0.6×	62 0.8×	55 0.7×	20 0.3×	23	420
M. Tenk	86 0.6×	37 0.3×	71 0.9×	59 0.8×	48 0.7×	28	336
Murilo Vieira da Silva	50 0.3×	121 0.8×	65 0.9×	30 0.4×	96 1.5×	30	399
Mariana G. Corigliano	93 0.6×	198 1.4×	69 0.9×	22 0.3×	49 0.7×	21	419
Fernanda Maria Santiago	69 0.5×	103 0.7×	33 0.4×	38 0.5×	84 1.3×	28	373
R M Poston	162 1.1×	51 0.3×	54 0.7×	29 0.4×	78 1.2×	10	382
Cosmin Chintoan‐Uta	113 0.8×	112 0.8×	127 1.7×	66 0.9×	21 0.3×	25	441

Countries citing papers authored by Fernando Silveira

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Silveira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Silveira

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