M.L. Lorenzo

1.2k total citations
37 papers, 1.0k citations indexed

About

M.L. Lorenzo is a scholar working on Analytical Chemistry, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, M.L. Lorenzo has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Analytical Chemistry, 14 papers in Pollution and 12 papers in Health, Toxicology and Mutagenesis. Recurrent topics in M.L. Lorenzo's work include Heavy metals in environment (14 papers), Heavy Metals in Plants (8 papers) and Analytical chemistry methods development (7 papers). M.L. Lorenzo is often cited by papers focused on Heavy metals in environment (14 papers), Heavy Metals in Plants (8 papers) and Analytical chemistry methods development (7 papers). M.L. Lorenzo collaborates with scholars based in Spain, France and Italy. M.L. Lorenzo's co-authors include Carmen Cabrera, M.C López, Ana Rivas, Araceli Sánchez‐Ortíz, Brígida Jiménez, Marı́a C. López, Joaquı́n Sánchez-Soriano, Miguel Mariscal‐Arcas, Celia Monteagudo and Cristina Mena and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Agricultural and Food Chemistry.

In The Last Decade

M.L. Lorenzo

37 papers receiving 919 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.L. Lorenzo Spain	19	407	286	269	187	166	37	1.0k
Michaela Zeiner Austria	20	478 1.2×	288 1.0×	231 0.9×	119 0.6×	179 1.1×	65	1.1k
M.C López Spain	17	470 1.2×	272 1.0×	246 0.9×	251 1.3×	207 1.2×	32	1.2k
Manuela Correia Portugal	20	416 1.0×	429 1.5×	196 0.7×	338 1.8×	175 1.1×	50	1.4k
Anna Szymczycha‐Madeja Poland	22	909 2.2×	316 1.1×	190 0.7×	169 0.9×	145 0.9×	82	1.6k
Sumontha Nookabkaew Thailand	17	255 0.6×	362 1.3×	330 1.2×	39 0.2×	228 1.4×	20	1.0k
Carmen Cabrera–Vique Spain	19	235 0.6×	119 0.4×	360 1.3×	323 1.7×	225 1.4×	37	1.6k
M. Sanz Alaejos Spain	14	189 0.5×	73 0.3×	389 1.4×	158 0.8×	52 0.3×	19	1.1k
Lara La Pera Italy	16	240 0.6×	116 0.4×	112 0.4×	170 0.9×	122 0.7×	25	627
Walter Fiddler United States	25	209 0.5×	89 0.3×	456 1.7×	325 1.7×	79 0.5×	98	1.6k
Iva Juranović Cindrić Croatia	17	391 1.0×	204 0.7×	59 0.2×	248 1.3×	196 1.2×	43	936

Countries citing papers authored by M.L. Lorenzo

Since Specialization

Citations

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

Fields of papers citing papers by M.L. Lorenzo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.L. Lorenzo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ma, Tinghuai, et al.. (2025). MULTISTATE DEEP SMOOTHED LEARNING ON CASHEW CROP YIELD PREDICTION MODEL EMPHASIZING WIND SPEED AND WIND DIRECTION. Applied Ecology and Environmental Research. 23(1). 137–158. 1 indexed citations

García‐Martínez, Olga, Elvira De Luna‐Bertos, Javier Ramos‐Torrecillas, et al.. (2016). Phenolic Compounds in Extra Virgin Olive Oil Stimulate Human Osteoblastic Cell Proliferation. PLoS ONE. 11(3). e0150045–e0150045. 63 indexed citations

Mariscal‐Arcas, Miguel, et al.. (2014). Differences in food intake and nutritional habits between Spanish adolescents who engage in ski activity and those who do not.. PubMed. 31(2). 936–43. 8 indexed citations

Rivas, Ana, et al.. (2014). Mineral Element Contents in Commercially Valuable Fish Species in Spain. The Scientific World JOURNAL. 2014. 1–7. 17 indexed citations

Montoya, Sandra, et al.. (2013). CUCUMBER BIOFORTIFICATION WITH POTASSIUM. European Scientific Journal ESJ. 9(33). 2 indexed citations

Rivas, Ana, et al.. (2013). Phenolic acid content and sensory properties of two Spanish monovarietal virgin olive oils. European Journal of Lipid Science and Technology. 115(6). 621–630. 30 indexed citations

Monteagudo, Celia, et al.. (2013). Estimation of dietary folic acid intake in three generations of females in Southern Spain. Appetite. 67. 114–118. 13 indexed citations

Rivas, Ana, Antonio Romero, Miguel Mariscal‐Arcas, et al.. (2012). Mediterranean diet and bone mineral density in two age groups of women. International Journal of Food Sciences and Nutrition. 64(2). 155–161. 90 indexed citations

Lorenzo, M.L., et al.. (2002). Influence of enrichment with vitamins and minerals on the bioavailability of iron in cows' milk. Journal of Dairy Research. 69(3). 473–481. 6 indexed citations

10.

Lorenzo, M.L., et al.. (2002). Aluminium content of drinking waters, fruit juices and soft drinks: contribution to dietary intake. The Science of The Total Environment. 292(3). 205–213. 57 indexed citations

11.

Cabrera, Carmen, et al.. (2001). Estimation of chromium bioavailability from the diet by an in vitro method. Food Additives & Contaminants. 18(7). 601–606. 18 indexed citations

12.

Lorenzo, M.L., et al.. (2001). Daily dietary intake of chromium in southern Spain measured with duplicate diet sampling. British Journal Of Nutrition. 86(3). 391–396. 27 indexed citations

13.

Cabrera, Carmen, et al.. (2000). Chromium levels in spices and aromatic herbs. The Science of The Total Environment. 247(1). 51–56. 47 indexed citations

14.

Cabrera, Carmen, et al.. (2000). Aluminum Content in Foods and Beverages Consumed in the Spanish Diet. Journal of Food Science. 65(2). 206–210. 18 indexed citations

15.

Cabrera, Carmen, et al.. (2000). Aluminium levels in spices and aromatic herbs. The Science of The Total Environment. 257(2-3). 191–197. 38 indexed citations

16.

Lorenzo, M.L., et al.. (1999). Trace element determination in different milk slurries. Journal of Dairy Research. 66(4). 569–578. 26 indexed citations

17.

Cabrera, Carmen, et al.. (1999). Chromium levels in potable water, fruit juices and soft drinks: influence on dietary intake. The Science of The Total Environment. 241(1-3). 143–150. 36 indexed citations

18.

Cabrera, Carmen, et al.. (1998). Aluminium levels in wine, beer and other alcoholic beverages consumed in Spain. The Science of The Total Environment. 220(1). 1–9. 36 indexed citations

19.

Cabrera, Carmen, et al.. (1996). Chromium, copper, iron, manganese, selenium and zinc levels in dairy products:in vitrostudy of absorbable fractions. International Journal of Food Sciences and Nutrition. 47(4). 331–339. 36 indexed citations

20.

Mena, Cristina, Carmen Cabrera, M.L. Lorenzo, & M.C López. (1996). Cadmium levels in wine, beer and other alcoholic beverages: possible sources of contamination. The Science of The Total Environment. 181(3). 201–208. 59 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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