C. Baeza

727 total citations
58 papers, 399 citations indexed

About

C. Baeza is a scholar working on Genetics, Archeology and Plant Science. According to data from OpenAlex, C. Baeza has authored 58 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 21 papers in Archeology and 13 papers in Plant Science. Recurrent topics in C. Baeza's work include Forensic and Genetic Research (29 papers), Forensic Anthropology and Bioarchaeology Studies (21 papers) and Iron Metabolism and Disorders (8 papers). C. Baeza is often cited by papers focused on Forensic and Genetic Research (29 papers), Forensic Anthropology and Bioarchaeology Studies (21 papers) and Iron Metabolism and Disorders (8 papers). C. Baeza collaborates with scholars based in Spain, Canada and Portugal. C. Baeza's co-authors include Ana María López‐Parra, Eduardo Arroyo‐Pardo, Ruth Blanco-Rojo, M. Pilar Vaquero, Ana M. Pérez-Granados, George Rodriguez, António Amorim, Alberto Peña, Leonor Gusmão and J. A. Rioux and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Pharmacological Research.

In The Last Decade

C. Baeza

54 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Baeza Spain 11 184 87 81 70 68 58 399
DD Farhud Iran 12 192 1.0× 37 0.4× 21 0.3× 17 0.2× 156 2.3× 48 498
Abdelhafidh Hajjej Tunisia 11 56 0.3× 8 0.1× 50 0.6× 18 0.3× 30 0.4× 23 314
Tulio Cesar de Lima Lins Brazil 12 245 1.3× 5 0.1× 19 0.2× 28 0.4× 93 1.4× 25 506
João Gonçalves Portugal 12 353 1.9× 13 0.1× 21 0.3× 8 0.1× 397 5.8× 27 605
Carmen Tomàs Denmark 14 496 2.7× 83 1.0× 13 0.2× 4 0.1× 244 3.6× 49 572
Sibylle D. Flatz Germany 14 323 1.8× 3 0.0× 22 0.3× 11 0.2× 70 1.0× 22 435
L Cifuentes Chile 10 127 0.7× 9 0.1× 7 0.1× 36 0.5× 64 0.9× 41 254
G. J. P. A. Anders Netherlands 11 133 0.7× 8 0.1× 21 0.3× 8 0.1× 132 1.9× 35 389
Ji Hyun Lee South Korea 10 100 0.5× 22 0.3× 12 0.1× 18 0.3× 188 2.8× 31 389
M. Acuña Chile 10 88 0.5× 8 0.1× 13 0.2× 7 0.1× 70 1.0× 34 268

Countries citing papers authored by C. Baeza

Since Specialization
Citations

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

Fields of papers citing papers by C. Baeza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Baeza

This figure shows the co-authorship network connecting the top 25 collaborators of C. Baeza. A scholar is included among the top collaborators of C. Baeza 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 C. Baeza. C. Baeza 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.
Pereira, Rui, C. Baeza, M. Aler, et al.. (2020). Spanish allele and haplotype database for 32 X-chromosome Insertion-Deletion polymorphisms. Forensic Science International Genetics. 46. 102262–102262. 6 indexed citations
2.
Arroyo, Ángel Esparza, et al.. (2018). Kinship analysis and allelic dropout: a forensic approach on an archaeological case. Annals of Human Biology. 45(4). 365–368. 10 indexed citations
3.
López‐Parra, Ana María, et al.. (2015). Nondestructive extraction DNA method from bones or teeth, true or false?. Forensic science international. Genetics supplement series. 5. e279–e282. 17 indexed citations
4.
Baeza, C., et al.. (2015). Genetic polymorphism of 15 STR loci in El Salvador. International Journal of Legal Medicine. 129(5). 991–993. 2 indexed citations
5.
Baeza, C., Eduardo Arroyo‐Pardo, Ruth Blanco-Rojo, et al.. (2015). Genetic contribution to iron status: SNPs related to iron deficiency anaemia and fine mapping of CACNA2D3 calcium channel subunit. Blood Cells Molecules and Diseases. 55(4). 273–280. 7 indexed citations
6.
López‐Parra, Ana María, et al.. (2015). A maternity case with human remains from a XIII–XIV century burial at Uceda, Guadalajara, Central Spain. Forensic science international. Genetics supplement series. 5. e10–e12. 2 indexed citations
7.
Dørum, Guro, Daniel Kling, C. Baeza, et al.. (2014). Models and implementation for relationship problems with dropout. International Journal of Legal Medicine. 129(3). 411–423. 6 indexed citations
8.
López‐Parra, Ana María, Alberto M. Borobia, C. Baeza, Eduardo Arroyo‐Pardo, & Antonio J. Carcas. (2012). A multiplex assay to detect variations in the CYP2C9, VKORC1, CYP4F2 and APOE genes involved in acenocoumarol metabolism. Clinical Biochemistry. 46(1-2). 167–169. 6 indexed citations
9.
Blanco-Rojo, Ruth, et al.. (2011). A Novel SNaPshot Assay to Detect Genetic Mutations Related to Iron Metabolism. Genetic Testing and Molecular Biomarkers. 15(3). 173–179. 12 indexed citations
10.
Blanco-Rojo, Ruth, C. Baeza, Ana María López‐Parra, et al.. (2011). Four variants in transferrin and HFE genes as potential markers of iron deficiency anaemia risk: an association study in menstruating women. Nutrition & Metabolism. 8(1). 69–69. 30 indexed citations
11.
López‐Parra, Ana María, José Edgardo Dipierri, María Dolores Marrodán Serrano, et al.. (2011). Preliminary results of mitochondrial DNA sequence variation in Jujuy population (Argentina). Forensic science international. Genetics supplement series. 3(1). e7–e8. 1 indexed citations
12.
Rodríguez, R., et al.. (2008). LISTA COMENTADA DE LAS PLANTAS VASCULARES DE LOS NEVADOS DE CHILLAN, CHILE COMMENTED CHECKLIST OF VASCULAR PLANTS OF NEVADOS DE CHILLAN, CHILE. SHILAP Revista de lepidopterología. 1 indexed citations
14.
López‐Parra, Ana María, Leonor Gusmão, Lígia Tavares, et al.. (2008). In search of the Pre‐ and Post‐Neolithic Genetic Substrates in Iberia: Evidence from Y‐Chromosome in Pyrenean Populations. Annals of Human Genetics. 73(1). 42–53. 28 indexed citations
15.
Borobia, Alberto M., Ana María López‐Parra, Elena Ramı́rez, et al.. (2008). CYP2C9 polymorphism in five autochthonous population of the same geographic area (Spanish Pyrenees). Pharmacological Research. 59(2). 107–111. 6 indexed citations
16.
Baeza, C., et al.. (2007). Population data for 15 Y-chromosome STRs in a population sample from Quito (Ecuador). Forensic Science International. 173(2-3). 214–219. 11 indexed citations
17.
Sarriá, Beatriz, Ana María López‐Parra, Santiago Navas‐Carretero, et al.. (2007). Hepcidin, transferrin (exon 7), and hemochromatosis genotyping suggests that haplotype block analysis is the best strategy for predicting iron deficiency phenotype in women. Nutrition Research. 27(11). 672–678. 5 indexed citations
18.
Arroyo‐Pardo, Eduardo, et al.. (2004). Genetic variability of 16 Y-chromosome STRs in a sample from Equatorial Guinea (Central Africa). Forensic Science International. 149(1). 109–113. 33 indexed citations
20.
Peña, Alberto, et al.. (1993). The effects of the posterior sagittal approach on rectal function (experimental study). Journal of Pediatric Surgery. 28(6). 773–778. 46 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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