Daniel Ayude

471 total citations
17 papers, 416 citations indexed

About

Daniel Ayude is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Daniel Ayude has authored 17 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 9 papers in Molecular Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Daniel Ayude's work include Glycosylation and Glycoproteins Research (7 papers), Peptidase Inhibition and Analysis (4 papers) and Colorectal Cancer Treatments and Studies (3 papers). Daniel Ayude is often cited by papers focused on Glycosylation and Glycoproteins Research (7 papers), Peptidase Inhibition and Analysis (4 papers) and Colorectal Cancer Treatments and Studies (3 papers). Daniel Ayude collaborates with scholars based in Spain and United States. Daniel Ayude's co-authors include Francisco Javier Rodrı́guez-Berrocal, Marı́a Páez de la Cadena, Oscar J. Cordero, Vicenta S. Martínez‐Zorzano, Alejandro de Carlos, Ana M. Rodríguez‐Piñeiro, Miquel Porta, Juan Alguacil, Julia Fernández-Rodrı́guez and Almudena Fernández‐Briera and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and British Journal of Cancer.

In The Last Decade

Daniel Ayude

17 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Ayude Spain	13	202	193	59	58	55	17	416
Andrea McCulla United Kingdom	5	208 1.0×	176 0.9×	65 1.1×	22 0.4×	50 0.9×	5	346
Jianping Chen China	11	253 1.3×	205 1.1×	82 1.4×	36 0.6×	27 0.5×	20	451
Manabu Node Japan	7	245 1.2×	104 0.5×	28 0.5×	43 0.7×	20 0.4×	8	424
Xiaolei Fang China	13	325 1.6×	138 0.7×	70 1.2×	29 0.5×	114 2.1×	21	553
Pamela Rutherford United States	7	255 1.3×	115 0.6×	42 0.7×	30 0.5×	27 0.5×	8	402
Chee Onn Leong Malaysia	5	236 1.2×	105 0.5×	90 1.5×	31 0.5×	40 0.7×	8	416
Beatrice N. Engelsberg United States	10	323 1.6×	143 0.7×	81 1.4×	23 0.4×	25 0.5×	12	490
Yuehua Mao United States	9	251 1.2×	265 1.4×	37 0.6×	16 0.3×	29 0.5×	11	523
Agnès Basseville United States	11	321 1.6×	239 1.2×	56 0.9×	35 0.6×	27 0.5×	18	521
Kelie Reece United States	9	201 1.0×	83 0.4×	99 1.7×	15 0.3×	24 0.4×	12	349

Countries citing papers authored by Daniel Ayude

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Ayude

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ayude

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

All Works

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17 of 17 papers shown

Chiara, Loretta De, Ana M. Rodríguez‐Piñeiro, Oscar J. Cordero, et al.. (2014). Postoperative Serum Levels of sCD26 for Surveillance in Colorectal Cancer Patients. PLoS ONE. 9(9). e107470–e107470. 19 indexed citations

Ayude, Daniel, et al.. (2013). Preoperative serum CA 72.4 as prognostic factor of recurrence and death, especially at TNM stage II, for colorectal cancer. BMC Cancer. 13(1). 543–543. 12 indexed citations

Valladares‐Ayerbes, Manuel, Silvia Díaz‐Prado, Daniel Ayude, et al.. (2009). Diagnostic accuracy of small breast epithelial mucin mRNA as a marker for bone marrow micrometastasis in breast cancer: a pilot study. Journal of Cancer Research and Clinical Oncology. 135(9). 1185–1195. 16 indexed citations

Chiara, Loretta De, Ana M. Rodríguez‐Piñeiro, Oscar J. Cordero, et al.. (2009). Soluble CD26 Levels and Its Association to Epidemiologic Parameters in a Sample Population. Disease Markers. 27(6). 311–316. 12 indexed citations

Chiara, Loretta De, Ana M. Rodríguez‐Piñeiro, Oscar J. Cordero, et al.. (2009). Soluble CD26 levels and its association to epidemiologic parameters in a sample population.. SHILAP Revista de lepidopterología. 27(6). 311–6. 12 indexed citations

Díaz‐Prado, Silvia, Daniel Ayude, Rosario García Campelo, et al.. (2008). In Silico and In Vitro Analysis of Small Breast Epithelial Mucin as a Marker for Bone Marrow Micrometastasis in Breast Cancer. Advances in experimental medicine and biology. 617. 331–339. 9 indexed citations

Ayude, Daniel, Marı́a Páez de la Cadena, Oscar J. Cordero, et al.. (2004). Clinical Interest of the Combined Use of Serum CD26 and Alpha‐L‐Fucosidase in the Early Diagnosis of Colorectal Cancer. Disease Markers. 19(6). 267–272. 22 indexed citations

Feijoo‐Carnero, Carmen, et al.. (2004). Clinical Significance of Preoperative Serum Sialic Acid Levels in Colorectal Cancer: Utility in the Detection of Patients at High Risk of Tumor Recurrence. The International Journal of Biological Markers. 19(1). 38–45. 18 indexed citations

Rodríguez‐Piñeiro, Ana M., Daniel Ayude, Francisco Javier Rodrı́guez-Berrocal, & Marı́a Páez de la Cadena. (2004). Concanavalin A chromatography coupled to two-dimensional gel electrophoresis improves protein expression studies of the serum proteome. Journal of Chromatography B. 803(2). 337–343. 27 indexed citations

10.

Feijoo‐Carnero, Carmen, et al.. (2004). Clinical significance of preoperative serum sialic acid levels in colorectal cancer: utility in the detection of patients at high risk of tumor recurrence. The International Journal of Biological Markers. 19(1). 38–45. 21 indexed citations

11.

Ayude, Daniel, et al.. (2003). Combined use of established and novel tumour markers in the diagnosis of head and neck squamous cell carcinoma. Oncology Reports. 10(5). 1345–50. 16 indexed citations

12.

Porta, Miquel, Jesús Vioqué, Daniel Ayude, et al.. (2003). Review: Coffee drinking: The rationale for treating it as a potential effect modifier of carcinogenic exposures. European Journal of Epidemiology. 18(4). 289–298. 47 indexed citations

13.

Porta, Miquel, Daniel Ayude, Juan Alguacil, & Manuel Jariod. (2003). Exploring environmental causes of altered ras effects: Fragmentation plus integration?. Molecular Carcinogenesis. 36(2). 45–52. 22 indexed citations

14.

Ayude, Daniel, Marı́a Páez de la Cadena, Vicenta S. Martínez‐Zorzano, Almudena Fernández‐Briera, & Francisco Javier Rodrı́guez-Berrocal. (2002). Preoperative Serum Alpha-<i>L</i>-Fucosidase Activity as a Prognostic Marker in Colorectal Cancer. Oncology. 64(1). 36–45. 18 indexed citations

15.

Ayude, Daniel, Julia Fernández-Rodrı́guez, Francisco Javier Rodrı́guez-Berrocal, et al.. (2000). Value of the Serum Alpha-<i>L</i>-Fucosidase Activity in the Diagnosis of Colorectal Cancer. Oncology. 59(4). 310–316. 46 indexed citations

16.

Cordero, Oscar J., et al.. (2000). Preoperative serum CD26 levels: diagnostic efficiency and predictive value for colorectal cancer. British Journal of Cancer. 83(9). 1139–1146. 72 indexed citations

17.

Fernández-Rodrı́guez, Julia, et al.. (2000). Alpha-L-fucosidase enzyme in the prediction of colorectal cancer patients at high risk of tumor recurrence.. PubMed. 24(2). 143–9. 27 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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