R.L. Althaus

1.3k total citations
61 papers, 1.1k citations indexed

About

R.L. Althaus is a scholar working on Pollution, Pharmacology and Food Science. According to data from OpenAlex, R.L. Althaus has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Pollution, 20 papers in Pharmacology and 17 papers in Food Science. Recurrent topics in R.L. Althaus's work include Pharmaceutical and Antibiotic Environmental Impacts (30 papers), Antibiotics Pharmacokinetics and Efficacy (19 papers) and Milk Quality and Mastitis in Dairy Cows (12 papers). R.L. Althaus is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (30 papers), Antibiotics Pharmacokinetics and Efficacy (19 papers) and Milk Quality and Mastitis in Dairy Cows (12 papers). R.L. Althaus collaborates with scholars based in Argentina, Spain and Italy. R.L. Althaus's co-authors include M.P. Molina, Marta Roca, A. Molina, M.I. Berruga, N. Fernández, S. Balasch, Alfredo G. Torres, Pedro Martí, M. Castillo and Juan Carlos Basílico and has published in prestigious journals such as The Science of The Total Environment, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

R.L. Althaus

61 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R.L. Althaus Argentina 22 443 368 346 298 226 61 1.1k
P. Maris France 18 164 0.4× 226 0.6× 337 1.0× 92 0.3× 116 0.5× 32 1.0k
William A. Moats United States 23 224 0.5× 228 0.6× 548 1.6× 404 1.4× 199 0.9× 91 1.5k
Zonghui Yuan China 20 214 0.5× 323 0.9× 276 0.8× 348 1.2× 135 0.6× 42 1.3k
Shixin Xu China 14 219 0.5× 210 0.6× 276 0.8× 51 0.2× 93 0.4× 26 887
K. Kwiatek Poland 18 153 0.3× 399 1.1× 229 0.7× 117 0.4× 71 0.3× 144 1.1k
Mahmudul Hasan Sikder Bangladesh 14 260 0.6× 189 0.5× 160 0.5× 70 0.2× 70 0.3× 39 804
Songli Li China 27 122 0.3× 866 2.4× 318 0.9× 65 0.2× 293 1.3× 51 1.9k
H. Yoshimura Japan 16 363 0.8× 101 0.3× 148 0.4× 177 0.6× 34 0.2× 75 1.0k
Anne-Catherine Huet Belgium 19 105 0.2× 428 1.2× 211 0.6× 215 0.7× 267 1.2× 44 1.0k
Wim Reybroeck Belgium 16 127 0.3× 157 0.4× 379 1.1× 216 0.7× 104 0.5× 42 1.0k

Countries citing papers authored by R.L. Althaus

Since Specialization
Citations

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

Fields of papers citing papers by R.L. Althaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.L. Althaus. 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 R.L. Althaus. The network helps show where R.L. Althaus may publish in the future.

Co-authorship network of co-authors of R.L. Althaus

This figure shows the co-authorship network connecting the top 25 collaborators of R.L. Althaus. A scholar is included among the top collaborators of R.L. Althaus 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 R.L. Althaus. R.L. Althaus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gómez, Gabriel, et al.. (2024). Fermentation of whey-derived matrices by Kluyveromyces marxianus: alcoholic beverage development from whey and fruit juice mixes. Journal of Dairy Research. 91(1). 108–115. 2 indexed citations
2.
Althaus, R.L., et al.. (2019). Five-assay microbiological system for the screening of antibiotic residues. Revista Argentina de Microbiología. 51(4). 345–353. 17 indexed citations
3.
Molina, M.P., et al.. (2016). Effect of Antibiotics on the Germination and Root Elongation of Argentine Intensive Crops. International Journal of Environmental Research. 10(4). 471–480. 8 indexed citations
4.
Althaus, R.L., et al.. (2015). Short communication: Drug residues in goat milk after prophylactic use of antibiotics in intravaginal sponges for estrus synchronization. Journal of Dairy Science. 99(1). 141–145. 7 indexed citations
5.
Althaus, R.L., et al.. (2015). Microbiological bioassay usingBacillus pumilusto detect tetracycline in milk. Journal of Dairy Research. 82(2). 248–255. 17 indexed citations
6.
Althaus, R.L., et al.. (2014). Validation of Receptor-Binding Assays To Detect Antibiotics in Goat's Milk. Journal of Food Protection. 77(2). 308–313. 11 indexed citations
7.
Althaus, R.L., et al.. (2014). Detection of antibiotics in goat's milk: effect of detergents on the response of microbial inhibitor tests. Journal of Dairy Research. 81(3). 372–377. 5 indexed citations
8.
Molina, M.P., et al.. (2013). Use of chemometric techniques to design a microbiological method for sulfonamide detection in milk. Czech Journal of Food Sciences. 31(6). 627–632. 3 indexed citations
9.
Althaus, R.L., et al.. (2013). Evaluation of the Charm maximum residue limit β-lactam and tetracycline test for the detection of antibiotics in ewe and goat milk. Journal of Dairy Science. 96(5). 2737–2745. 27 indexed citations
10.
Molina, M.P., et al.. (2011). Use chemometric techniques in the optimization of a specific bioassay for betalactams in milk. Letters in Applied Microbiology. 54(1). 32–38. 3 indexed citations
11.
Roca, Marta, et al.. (2011). Effect of heat treatments on stability of β-lactams in milk. Journal of Dairy Science. 94(3). 1155–1164. 55 indexed citations
12.
Molina, M.P., et al.. (2010). Optimization of bioassay for tetracycline detection in milk by means of chemometric techniques. Letters in Applied Microbiology. 52(3). 245–252. 28 indexed citations
13.
Molina, M.P., et al.. (2009). Robust experimental design for optimizing the microbial inhibitor test for penicillin detection in milk. Letters in Applied Microbiology. 48(6). 744–9. 7 indexed citations
14.
Roca, Marta, et al.. (2008). Heat Inactivation of β-Lactam Antibiotics in Milk. Journal of Food Protection. 71(6). 1193–1198. 28 indexed citations
15.
Berruga, M.I., et al.. (2006). Screening of antibiotic residues in ewes' milk destined to cheese by a commercial microbiological inhibition assay. Food Additives & Contaminants. 23(7). 660–667. 7 indexed citations
16.
Berruga, M.I., et al.. (2004). Occurrence of Antibiotic Residues in Milk from Manchega Ewe Dairy Farms. Journal of Dairy Science. 87(10). 3132–3137. 40 indexed citations
17.
Althaus, R.L., Alfredo G. Torres, Ana Montero‐Castaño, S. Balasch, & M.P. Molina. (2003). Detection Limits of Antimicrobials in Ewe Milk by Delvotest Photometric Measurements. Journal of Dairy Science. 86(2). 457–463. 43 indexed citations
18.
Molina, M.P., et al.. (2003). Evaluation of Screening Test for Detection of Antimicrobial Residues in Ewe Milk. Journal of Dairy Science. 86(6). 1947–1952. 36 indexed citations
19.
Althaus, R.L., et al.. (2003). Accuracy of BRT and Delvotest Microbial Inhibition Tests as Affected by Composition of Ewe's Milk. Journal of Food Protection. 66(3). 473–478. 18 indexed citations
20.
Althaus, R.L., M.P. Molina, Mariano Rodríguez, & N. Fernández. (2001). Analysis Time and Lactation Stage Influence on Lactoperoxidase System Components in Dairy Ewe Milk. Journal of Dairy Science. 84(8). 1829–1835. 20 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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