M. A. Martínez‐Uroz

540 total citations
8 papers, 445 citations indexed

About

M. A. Martínez‐Uroz is a scholar working on Food Science, Analytical Chemistry and Spectroscopy. According to data from OpenAlex, M. A. Martínez‐Uroz has authored 8 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Food Science, 5 papers in Analytical Chemistry and 4 papers in Spectroscopy. Recurrent topics in M. A. Martínez‐Uroz's work include Pesticide Residue Analysis and Safety (7 papers), Analytical chemistry methods development (5 papers) and Analytical Chemistry and Chromatography (3 papers). M. A. Martínez‐Uroz is often cited by papers focused on Pesticide Residue Analysis and Safety (7 papers), Analytical chemistry methods development (5 papers) and Analytical Chemistry and Chromatography (3 papers). M. A. Martínez‐Uroz collaborates with scholars based in Spain, Belgium and Netherlands. M. A. Martínez‐Uroz's co-authors include Amadeo R. Fernández‐Alba, Lucía Pareja, Carmen Ferrer, Péter Fodor, Antonio Valverde, Milagros Mezcúa, María del Mar Gómez‐Ramos, María José Gómez, Philip Wylie and José M. Navas and has published in prestigious journals such as Journal of Chromatography A, The Analyst and Talanta.

In The Last Decade

M. A. Martínez‐Uroz

8 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. A. Martínez‐Uroz Spain 8 326 185 109 84 78 8 445
Zeng‐Yin Li China 10 336 1.0× 225 1.2× 128 1.2× 91 1.1× 74 0.9× 11 445
M. Bandini Italy 9 320 1.0× 212 1.1× 116 1.1× 70 0.8× 64 0.8× 14 419
Allan Künnapas Estonia 5 251 0.8× 172 0.9× 148 1.4× 53 0.6× 59 0.8× 6 424
Tuija Pihlström Sweden 7 323 1.0× 207 1.1× 98 0.9× 85 1.0× 55 0.7× 8 377
Le Song China 14 388 1.2× 269 1.5× 123 1.1× 62 0.7× 113 1.4× 16 549
Magali Kemmerich Brazil 11 322 1.0× 238 1.3× 115 1.1× 57 0.7× 71 0.9× 21 481
Stefan Kittlaus Germany 6 342 1.0× 186 1.0× 215 2.0× 85 1.0× 64 0.8× 6 514
Tomáš Kovalczuk Czechia 9 200 0.6× 128 0.7× 111 1.0× 48 0.6× 55 0.7× 11 347
C.A. Díaz Diez Spain 6 231 0.7× 166 0.9× 118 1.1× 53 0.6× 34 0.4× 7 357
Rahul H. Savant India 7 286 0.9× 185 1.0× 121 1.1× 44 0.5× 72 0.9× 8 354

Countries citing papers authored by M. A. Martínez‐Uroz

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Martínez‐Uroz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Martínez‐Uroz. 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. A. Martínez‐Uroz. The network helps show where M. A. Martínez‐Uroz may publish in the future.

Co-authorship network of co-authors of M. A. Martínez‐Uroz

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

All Works

8 of 8 papers shown
1.
Retamal, Mauricio A., et al.. (2012). Determination of chlorothalonil in difficult-to-analyse vegetable matrices using various multiresidue methods. The Analyst. 137(10). 2513–2513. 19 indexed citations
2.
Mezcúa, Milagros, M. A. Martínez‐Uroz, María del Mar Gómez‐Ramos, et al.. (2012). Analysis of synthetic endocrine-disrupting chemicals in food: A review. Talanta. 100. 90–106. 46 indexed citations
3.
Díaz, Antonia Lozano, M. A. Martínez‐Uroz, María José Gómez, et al.. (2011). Determination of nicotine in mushrooms by various GC/MS- and LC/MS-based methods. Analytical and Bioanalytical Chemistry. 402(2). 935–943. 20 indexed citations
4.
Martínez‐Uroz, M. A., et al.. (2011). Determination of selected pesticides by GC with simultaneous detection by MS (NCI) and μ-ECD in fruit and vegetable matrices. Analytical and Bioanalytical Chemistry. 402(3). 1365–1372. 12 indexed citations
5.
Mezcúa, Milagros, et al.. (2011). Evaluation of Relevant Time-of-Flight-MS Parameters Used in HPLC/MS Full-Scan Screening Methods for Pesticide Residues. Journal of AOAC International. 94(6). 1674–1684. 12 indexed citations
6.
Ferrer, Carmen, Milagros Mezcúa, M. A. Martínez‐Uroz, et al.. (2010). Method development and validation for determination of thiosultap sodium, thiocyclam, and nereistoxin in pepper matrix. Analytical and Bioanalytical Chemistry. 398(5). 2299–2306. 22 indexed citations
7.
Mezcúa, Milagros, M. A. Martínez‐Uroz, Philip Wylie, & Amadeo R. Fernández‐Alba. (2009). Simultaneous Screening and Target Analytical Approach by Gas Chromatography-Quadrupole-Mass Spectrometry for Pesticide Residues in Fruits and Vegetables. Journal of AOAC International. 92(6). 1790–1806. 34 indexed citations
8.
Fodor, Péter, Lucía Pareja, Carmen Ferrer, et al.. (2008). Validation and uncertainty study of a comprehensive list of 160 pesticide residues in multi-class vegetables by liquid chromatography–tandem mass spectrometry. Journal of Chromatography A. 1215(1-2). 37–50. 280 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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