M.I.N. Silveira

39 total papers · 1.0k total citations
28 papers, 861 citations indexed

About

M.I.N. Silveira is a scholar working on Food Science, Animal Science and Zoology and Plant Science. According to data from OpenAlex, M.I.N. Silveira has authored 28 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Food Science, 8 papers in Animal Science and Zoology and 6 papers in Plant Science. Recurrent topics in M.I.N. Silveira's work include Pesticide Residue Analysis and Safety (15 papers), Pharmacological Effects and Assays (6 papers) and Insect and Pesticide Research (4 papers). M.I.N. Silveira is often cited by papers focused on Pesticide Residue Analysis and Safety (15 papers), Pharmacological Effects and Assays (6 papers) and Insect and Pesticide Research (4 papers). M.I.N. Silveira collaborates with scholars based in Portugal, Spain and Czechia. M.I.N. Silveira's co-authors include Celeste M. Lino, Angelina Pena, Cristina Blasco, Yolanda Picó, Guillermina Font, Fernando Ramos, Mónica Fernández-Franzón, M.C. Castilho, Petr Solich and Liliana J.G. Silva and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Chromatography A and Analytica Chimica Acta.

In The Last Decade

M.I.N. Silveira

28 papers receiving 801 citations

Author Peers

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

Author						Papers	Cites
M.I.N. Silveira	352	215	211	205	118	28	861
Verónica Cesio	510 1.4×	263 1.2×	206 1.0×	292 1.4×	99 0.8×	29	982
Guo‐Fang Pang	511 1.5×	234 1.1×	158 0.7×	288 1.4×	168 1.4×	38	961
Danilo Attard Barbini	535 1.5×	146 0.7×	258 1.2×	286 1.4×	125 1.1×	33	856
Ewa Rutkowska	577 1.6×	225 1.0×	160 0.8×	261 1.3×	69 0.6×	49	797
Li Zhou	540 1.5×	226 1.1×	236 1.1×	322 1.6×	69 0.6×	50	888
Sagar C. Utture	683 1.9×	231 1.1×	252 1.2×	339 1.7×	93 0.8×	26	998
Alberto Barba	674 1.9×	253 1.2×	219 1.0×	254 1.2×	79 0.7×	17	875
Antonia Garrido Frenich	316 0.9×	126 0.6×	108 0.5×	215 1.0×	62 0.5×	27	703
Didier Ortelli	391 1.1×	107 0.5×	141 0.7×	221 1.1×	84 0.7×	28	945
Fengjian Luo	423 1.2×	207 1.0×	222 1.1×	207 1.0×	65 0.6×	47	723

Countries citing papers authored by M.I.N. Silveira

Since Specialization

Citations

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

Fields of papers citing papers by M.I.N. Silveira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.I.N. Silveira

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