Begoña Casado

1.3k total citations
31 papers, 964 citations indexed

About

Begoña Casado is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Begoña Casado has authored 31 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Physiology and 8 papers in Spectroscopy. Recurrent topics in Begoña Casado's work include Advanced Proteomics Techniques and Applications (5 papers), Sinusitis and nasal conditions (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Begoña Casado is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), Sinusitis and nasal conditions (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Begoña Casado collaborates with scholars based in Italy, United States and Switzerland. Begoña Casado's co-authors include Paolo Iadarola, James N. Baraniuk, Lewis K. Pannell, Martin Kussmann, Michael Affolter, Maurizio Luisetti, Simona Viglio, Solveig Tosi, Renato Gerdol and Giuseppe Caretta and has published in prestigious journals such as Journal of Controlled Release, Journal of Allergy and Clinical Immunology and European Respiratory Journal.

In The Last Decade

Begoña Casado

30 papers receiving 945 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Begoña Casado Italy 17 339 198 122 117 110 31 964
Deborah Penque Portugal 23 629 1.9× 742 3.7× 72 0.6× 173 1.5× 134 1.2× 61 1.5k
Sara Bergström Lind Sweden 18 483 1.4× 83 0.4× 33 0.3× 71 0.6× 122 1.1× 51 996
Judit Castillo Spain 24 717 2.1× 124 0.6× 73 0.6× 81 0.7× 473 4.3× 36 2.2k
Bonita Coutermarsh United States 21 869 2.6× 584 2.9× 125 1.0× 124 1.1× 159 1.4× 29 1.9k
Cérina Chhuon France 17 436 1.3× 83 0.4× 19 0.2× 69 0.6× 77 0.7× 43 742
Yoshiki Nakashima Japan 19 837 2.5× 26 0.1× 152 1.2× 222 1.9× 135 1.2× 60 1.3k
P Salacinski United Kingdom 7 473 1.4× 74 0.4× 57 0.5× 100 0.9× 125 1.1× 8 1.2k
Jacquelin B. Shaffer United States 14 694 2.0× 74 0.4× 37 0.3× 46 0.4× 165 1.5× 24 1.1k
Maria Teresa Sanna Italy 17 385 1.1× 29 0.1× 53 0.4× 469 4.0× 42 0.4× 51 958
Antônio Sesso Brazil 19 506 1.5× 39 0.2× 60 0.5× 204 1.7× 104 0.9× 105 1.3k

Countries citing papers authored by Begoña Casado

Since Specialization
Citations

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

Fields of papers citing papers by Begoña Casado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Begoña Casado

This figure shows the co-authorship network connecting the top 25 collaborators of Begoña Casado. A scholar is included among the top collaborators of Begoña Casado 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 Begoña Casado. Begoña Casado 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.
Austin, Sean, et al.. (2018). Determination of 2′-Fucosyllactose and Lacto-N-neotetraose in Infant Formula. Molecules. 23(10). 2650–2650. 24 indexed citations
2.
Baraniuk, James N., Begoña Casado, & Sonya Malekzadeh. (2016). Differentiating Osteomeatal Complex Disease and Chronic Rhinosinusitis from Nonallergic Rhinitis. PubMed. 19. 137–168.
3.
Affolter, Michael, et al.. (2009). Qualitative and quantitative profiling of the bovine milk fat globule membrane proteome. Journal of Proteomics. 73(6). 1079–1088. 97 indexed citations
4.
Casado, Begoña, Michael Affolter, & Martin Kussmann. (2009). OMICS-rooted studies of milk proteins, oligosaccharides and lipids. Journal of Proteomics. 73(2). 196–208. 77 indexed citations
5.
Casado, Begoña, Paolo Iadarola, Maurizio Luisetti, & Martin Kussmann. (2008). Proteomics-based diagnosis of chronic obstructive pulmonary disease: the hunt for new markers. Expert Review of Proteomics. 5(5). 693–704. 19 indexed citations
6.
Luisetti, Maurizio, Shuren Ma, Paolo Iadarola, et al.. (2008). Desmosine as a biomarker of elastin degradation in COPD: current status and future directions. European Respiratory Journal. 32(5). 1146–1157. 105 indexed citations
7.
Viglio, Simona, Laura Annovazzi, Maurizio Luisetti, et al.. (2007). Progress in the methodological strategies for the detection in real samples of desmosine and isodesmosine, two biological markers of elastin degradation. Journal of Separation Science. 30(2). 202–213. 20 indexed citations
8.
Viglio, Simona, Laura Annovazzi, Bice Conti, et al.. (2006). The role of emerging techniques in the investigation of prolidase deficiency: From diagnosis to the development of a possible therapeutical approach. Journal of Chromatography B. 832(1). 1–8. 27 indexed citations
9.
Iadarola, Paolo, Giuseppe Cetta, Maurizio Luisetti, et al.. (2005). Micellar electrokinetic chromatographic and capillary zone electrophoretic methods for screening urinary biomarkers of human disorders: A critical review of the state‐of‐the‐art. Electrophoresis. 26(4-5). 752–766. 21 indexed citations
10.
Baraniuk, James N., et al.. (2005). A chronic fatigue syndrome – related proteome in human cerebrospinal fluid. BMC Neurology. 5(1). 22–22. 62 indexed citations
11.
Casado, Begoña, Lewis K. Pannell, Paolo Iadarola, & James N. Baraniuk. (2005). Identification of human nasal mucous proteins using proteomics. PROTEOMICS. 5(11). 2949–2959. 105 indexed citations
12.
Casado, Begoña, Lewis K. Pannell, Paolo Iadarola, & James N. Baraniuk. (2005). Proteomic analysis of normal human nasal mucus. Journal of Allergy and Clinical Immunology. 115(2). S58–S58. 1 indexed citations
13.
Casado, Begoña, Lewis K. Pannell, Gail Whalen, Daniel J. Clauw, & James N. Baraniuk. (2005). Human neuroglobin protein in cerebrospinal fluid.. Proteome Science. 3(1). 2–2. 15 indexed citations
14.
Casado, Begoña, Lewis K. Pannell, Simona Viglio, Paolo Iadarola, & James N. Baraniuk. (2004). Analysis of the sinusitis nasal lavage fluid proteome using capillary liquid chromatography interfaced to electrospray ionization‐quadrupole time of flight‐ tandem mass spectrometry. Electrophoresis. 25(9). 1386–1393. 32 indexed citations
15.
Annovazzi, Laura, Simona Viglio, Eleonora Perani, et al.. (2004). Capillary electrophoresis with laser‐induced fluorescence detection as a novel sensitive approach for the analysis of desmosines in real samples. Electrophoresis. 25(4-5). 683–691. 31 indexed citations
16.
McGuire, John F. & Begoña Casado. (2004). Proteomics: A Primer for Otologists. Otology & Neurotology. 25(5). 842–849. 6 indexed citations
17.
18.
Lupi, Alessandro, Begoña Casado, Laura Annovazzi, et al.. (2002). Therapeutic apheresis exchange in two patients with prolidase deficiency. British Journal of Dermatology. 147(6). 1237–1240. 18 indexed citations
19.
20.
Genta, Ida, Paola Perugini, Franca Pavanetto, et al.. (2001). Enzyme loaded biodegradable microspheres in vitro. Journal of Controlled Release. 77(3). 287–295. 34 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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