Leane Oliveira

602 total citations
7 papers, 489 citations indexed

About

Leane Oliveira is a scholar working on Agronomy and Crop Science, Food Science and Infectious Diseases. According to data from OpenAlex, Leane Oliveira has authored 7 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Agronomy and Crop Science, 4 papers in Food Science and 3 papers in Infectious Diseases. Recurrent topics in Leane Oliveira's work include Milk Quality and Mastitis in Dairy Cows (7 papers), Probiotics and Fermented Foods (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Leane Oliveira is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (7 papers), Probiotics and Fermented Foods (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Leane Oliveira collaborates with scholars based in United States, Brazil and China. Leane Oliveira's co-authors include P.L. Ruegg, Wenjie Jin, Ogi Okwumabua, Hélio Langoni, Cristina Simões Cortinhas and Marcos Veiga dos Santos and has published in prestigious journals such as Journal of Dairy Science, Journal of the American Veterinary Medical Association and American Journal of Veterinary Research.

In The Last Decade

Leane Oliveira

7 papers receiving 470 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Leane Oliveira United States	7	394	243	125	97	81	7	489
Bert Verbist Belgium	8	404 1.0×	291 1.2×	123 1.0×	145 1.5×	104 1.3×	8	480
L. Tikofsky United States	8	331 0.8×	238 1.0×	140 1.1×	67 0.7×	71 0.9×	10	440
Nicole Wente Denmark	15	450 1.1×	313 1.3×	145 1.2×	126 1.3×	85 1.0×	44	586
Piret Kalmus Estonia	13	287 0.7×	190 0.8×	116 0.9×	99 1.0×	50 0.6×	19	471
H. Lassa Poland	13	372 0.9×	262 1.1×	106 0.8×	147 1.5×	83 1.0×	33	551
Gorik Braem Belgium	8	420 1.1×	353 1.5×	137 1.1×	189 1.9×	121 1.5×	8	534
Inge-Marié Petzer South Africa	12	420 1.1×	323 1.3×	92 0.7×	141 1.5×	138 1.7×	47	628
E. Malinowski Poland	12	348 0.9×	204 0.8×	72 0.6×	89 0.9×	73 0.9×	58	430
Martín Pol Argentina	8	336 0.9×	201 0.8×	140 1.1×	99 1.0×	61 0.8×	10	505
A. De Visscher Belgium	17	572 1.5×	429 1.8×	216 1.7×	141 1.5×	143 1.8×	27	667

Countries citing papers authored by Leane Oliveira

Since Specialization

Citations

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

Fields of papers citing papers by Leane Oliveira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leane Oliveira

This figure shows the co-authorship network connecting the top 25 collaborators of Leane Oliveira. A scholar is included among the top collaborators of Leane 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 Leane Oliveira. Leane 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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7 of 7 papers shown

1.

Ruegg, P.L., Leane Oliveira, Wenjie Jin, & Ogi Okwumabua. (2015). Phenotypic antimicrobial susceptibility and occurrence of selected resistance genes in gram-positive mastitis pathogens isolated from Wisconsin dairy cows. Journal of Dairy Science. 98(7). 4521–4534. 68 indexed citations

2.

Oliveira, Leane & P.L. Ruegg. (2014). Treatments of clinical mastitis occurring in cows on 51 large dairy herds in Wisconsin. Journal of Dairy Science. 97(9). 5426–5436. 113 indexed citations

3.

Oliveira, Leane, et al.. (2013). Characterization of clinical mastitis occurring in cows on 50 large dairy herds in Wisconsin. Journal of Dairy Science. 96(12). 7538–7549. 193 indexed citations

4.

Cortinhas, Cristina Simões, et al.. (2013). Minimum inhibitory concentrations of cephalosporin compounds and their active metabolites for selected mastitis pathogens. American Journal of Veterinary Research. 74(5). 683–690. 18 indexed citations

5.

Oliveira, Leane, et al.. (2012). Minimum inhibitory concentrations of Staphylococcus aureus recovered from clinical and subclinical cases of bovine mastitis. Journal of Dairy Science. 95(4). 1913–1920. 39 indexed citations

6.

Oliveira, Leane, et al.. (2011). Enterotoxin production, enterotoxin gene distribution, and genetic diversity of Staphylococcus aureus recovered from milk of cows with subclinical mastitis. American Journal of Veterinary Research. 72(10). 1361–1368. 40 indexed citations

7.

Oliveira, Leane, et al.. (2009). Relationship between results of in vitro susceptibility tests and outcomes following treatment with pirlimycin hydrochloride in cows with subclinical mastitis associated with gram-positive pathogens. Journal of the American Veterinary Medical Association. 234(11). 1437–1446. 18 indexed citations

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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