Daniel G. Pinacho

1.1k total citations
18 papers, 875 citations indexed

About

Daniel G. Pinacho is a scholar working on Molecular Biology, Biomedical Engineering and Pharmacology. According to data from OpenAlex, Daniel G. Pinacho has authored 18 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Biomedical Engineering and 8 papers in Pharmacology. Recurrent topics in Daniel G. Pinacho's work include Advanced biosensing and bioanalysis techniques (11 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers) and Biosensors and Analytical Detection (8 papers). Daniel G. Pinacho is often cited by papers focused on Advanced biosensing and bioanalysis techniques (11 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers) and Biosensors and Analytical Detection (8 papers). Daniel G. Pinacho collaborates with scholars based in Spain, United Kingdom and Switzerland. Daniel G. Pinacho's co-authors include M.‐Pilar Marco, Francisco Sánchez‐Baeza, A.J. Reviejo, Felipe Conzuelo, Susana Campuzano, María Gamella, José M. Pingarrón, Rosa‐Helena Bustos, Fátima Fernández and Jean-Marc Diserens and has published in prestigious journals such as Analytical Chemistry, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Daniel G. Pinacho

18 papers receiving 845 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel G. Pinacho Spain 16 542 459 187 153 108 18 875
Elba Mauriz Spain 21 770 1.4× 615 1.3× 169 0.9× 266 1.7× 75 0.7× 40 1.3k
Javier Adrián Spain 11 365 0.7× 315 0.7× 96 0.5× 95 0.6× 46 0.4× 14 655
Zhigang Yu China 17 588 1.1× 490 1.1× 34 0.2× 302 2.0× 210 1.9× 37 1.2k
Anna N. Berlina Russia 17 707 1.3× 636 1.4× 34 0.2× 126 0.8× 134 1.2× 53 1.1k
Sunil Bhand India 21 716 1.3× 634 1.4× 29 0.2× 322 2.1× 162 1.5× 61 1.3k
G. Volpe Italy 21 525 1.0× 381 0.8× 33 0.2× 297 1.9× 158 1.5× 39 982
Falan Li China 19 831 1.5× 531 1.2× 35 0.2× 275 1.8× 222 2.1× 48 1.1k
Fátima Fernández Spain 11 329 0.6× 316 0.7× 64 0.3× 93 0.6× 23 0.2× 15 538
Julia Yakovleva Russia 11 270 0.5× 352 0.8× 28 0.1× 125 0.8× 42 0.4× 17 646
Zhi‐Li Xiao China 20 454 0.8× 311 0.7× 26 0.1× 101 0.7× 50 0.5× 45 879

Countries citing papers authored by Daniel G. Pinacho

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Pinacho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Pinacho. 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 Daniel G. Pinacho. The network helps show where Daniel G. Pinacho may publish in the future.

Co-authorship network of co-authors of Daniel G. Pinacho

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

All Works

18 of 18 papers shown
1.
2.
Bustos, Rosa‐Helena, et al.. (2020). Personalized Medicine for Antibiotics: The Role of Nanobiosensors in Therapeutic Drug Monitoring. Journal of Personalized Medicine. 10(4). 147–147. 23 indexed citations
3.
Pinacho, Daniel G., et al.. (2019). Optical Biosensors for Therapeutic Drug Monitoring. Biosensors. 9(4). 132–132. 75 indexed citations
4.
Tufa, Ramato Ashu, Daniel G. Pinacho, Núria Pascual, et al.. (2015). Development and validation of an enzyme linked immunosorbent assay for fluoroquinolones in animal feeds. Food Control. 57. 195–201. 33 indexed citations
5.
Pinacho, Daniel G., Francisco Sánchez‐Baeza, María Isabel Pividori, & M.‐Pilar Marco. (2014). Electrochemical Detection of Fluoroquinolone Antibiotics in Milk Using a Magneto Immunosensor. Sensors. 14(9). 15965–15980. 32 indexed citations
6.
Fernández, Fátima, Daniel G. Pinacho, Marta Gratacós-Cubarsí, et al.. (2014). Immunochemical determination of fluoroquinolone antibiotics in cattle hair: A strategy to ensure food safety. Food Chemistry. 157. 221–228. 18 indexed citations
7.
Conzuelo, Felipe, Susana Campuzano, María Gamella, et al.. (2013). Integrated disposable electrochemical immunosensors for the simultaneous determination of sulfonamide and tetracycline antibiotics residues in milk. Biosensors and Bioelectronics. 50. 100–105. 103 indexed citations
8.
Pinacho, Daniel G., Jean-Marc Diserens, B. Granier, et al.. (2013). A portable electrochemical magnetoimmunosensor for detection of sulfonamide antimicrobials in honey. Analytical and Bioanalytical Chemistry. 405(24). 7885–7895. 7 indexed citations
9.
Conzuelo, Felipe, María Gamella, Susana Campuzano, et al.. (2012). Disposable and integrated amperometric immunosensor for direct determination of sulfonamide antibiotics in milk. Biosensors and Bioelectronics. 36(1). 81–88. 82 indexed citations
10.
Pinacho, Daniel G., Francisco Sánchez‐Baeza, & M.‐Pilar Marco. (2012). Molecular Modeling Assisted Hapten Design To Produce Broad Selectivity Antibodies for Fluoroquinolone Antibiotics. Analytical Chemistry. 84(10). 4527–4534. 67 indexed citations
11.
Fernández, Fátima, Daniel G. Pinacho, Francisco Sánchez‐Baeza, & M.‐Pilar Marco. (2011). Portable Surface Plasmon Resonance Immunosensor for the Detection of Fluoroquinolone Antibiotic Residues in Milk. Journal of Agricultural and Food Chemistry. 59(9). 5036–5043. 72 indexed citations
12.
Gómez, Rodrigo, Patricia Vázquez, Marta Duch, et al.. (2009). Intracellular Silicon Chips in Living Cells. Small. 6(4). 499–502. 31 indexed citations
13.
Adrián, Javier, Stéphanie Pasche, Guy Voirin, et al.. (2009). Wavelength-interrogated optical biosensor for multi-analyte screening of sulfonamide, fluoroquinolone, β-lactam and tetracycline antibiotics in milk. TrAC Trends in Analytical Chemistry. 28(6). 769–777. 54 indexed citations
14.
Giroud, Fabien, Karine Gorgy, Chantal Gondran, et al.. (2009). Impedimetric Immunosensor Based on a Polypyrrole−Antibiotic Model Film for the Label-Free Picomolar Detection of Ciprofloxacin. Analytical Chemistry. 81(20). 8405–8409. 64 indexed citations
15.
Adrián, Javier, Daniel G. Pinacho, Benoı̂t Granier, et al.. (2008). A multianalyte ELISA for immunochemical screening of sulfonamide, fluoroquinolone and ß-lactam antibiotics in milk samples using class-selective bioreceptors. Analytical and Bioanalytical Chemistry. 391(5). 1703–1712. 78 indexed citations
16.
Tsekenis, George, Frank Davis, Paul A. Millner, et al.. (2008). Detection of Fluoroquinolone Antibiotics in Milk via a Labeless Immunoassay Based upon an Alternating Current Impedance Protocol. Analytical Chemistry. 80(23). 9233–9239. 36 indexed citations
17.
Ionescu, Rodica Elena, Nicole Jaffrézic‐Renault, Laurent Bouffier, et al.. (2007). Impedimetric immunosensor for the specific label free detection of ciprofloxacin antibiotic. Biosensors and Bioelectronics. 23(4). 549–555. 76 indexed citations
18.
Tsekenis, George, Frank Davis, Séamus P.J. Higson, et al.. (2007). Labeless Immunosensor Assay for Fluoroquinolone Antibiotics Based Upon an AC Impedance Protocol. Analytical Letters. 40(7). 1412–1422. 22 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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