Pablo Valderrábano

1.1k total citations
35 papers, 799 citations indexed

About

Pablo Valderrábano is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Pablo Valderrábano has authored 35 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Endocrinology, Diabetes and Metabolism, 23 papers in Surgery and 10 papers in Genetics. Recurrent topics in Pablo Valderrábano's work include Thyroid Cancer Diagnosis and Treatment (22 papers), Adrenal and Paraganglionic Tumors (12 papers) and Hormonal Regulation and Hypertension (11 papers). Pablo Valderrábano is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (22 papers), Adrenal and Paraganglionic Tumors (12 papers) and Hormonal Regulation and Hypertension (11 papers). Pablo Valderrábano collaborates with scholars based in Spain, United States and Germany. Pablo Valderrábano's co-authors include Bryan McIver, Julie Hallanger‐Johnson, Barbara A. Centeno, Laila Khazai, Zachary Thompson, Christine H. Chung, Kristen J. Otto, Marino E. Leon, Vonetta L. Williams and Héctor F. Escobar‐Morreale and has published in prestigious journals such as Scientific Reports, Annals of Oncology and Clinical Endocrinology.

In The Last Decade

Pablo Valderrábano

33 papers receiving 793 citations

Peers

Pablo Valderrábano
Laila Khazai United States
Hans‐Jürgen Holzhausen Germany
Annalisa Montanaro Italy
Leo Guidobaldi Italy
Laszlo Hegedüs Denmark
Elvira De Martino Italy
Danuta Gąsior‐Perczak Poland
Stefano Christian Londero Denmark
Tomoo Jikuzono Japan
Rebecca B. Schechter United States
Laila Khazai United States
Pablo Valderrábano
Citations per year, relative to Pablo Valderrábano Pablo Valderrábano (= 1×) peers Laila Khazai

Countries citing papers authored by Pablo Valderrábano

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Valderrábano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Valderrábano

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Valderrábano. A scholar is included among the top collaborators of Pablo Valderrábano 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 Pablo Valderrábano. Pablo Valderrábano 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.
Araujo‐Castro, Marta, Felicia A. Hanzu, Eider Pascual‐Corrales, et al.. (2023). Is the 1mg-dexamethasone suppression test a precise marker of glucocorticoid excess and cardiometabolic risk in patients with adrenal incidentalomas?. Endocrine. 82(1). 161–170. 7 indexed citations
2.
Valderrábano, Pablo, et al.. (2023). Clinical value of molecular markers as diagnostic and prognostic tools to guide treatment of thyroid cancer. Clinical Endocrinology. 98(6). 753–762. 11 indexed citations
3.
Trimboli, Pierpaolo, Pablo Valderrábano, Fabián Pitoia, Arnoldo Piccardo, & Jörg Bojunga. (2023). Appropriate and mindful measurement of serum calcitonin in patients with thyroid nodules. A white paper. Endocrine. 83(1). 60–64. 5 indexed citations
4.
Valderrábano, Pablo, et al.. (2023). Prevalence and incidence of type 2 diabetes mellitus in patients with adrenal incidentalomas: a study of 709 cases. Endocrine. 81(3). 484–491. 5 indexed citations
5.
Gil, Minchan, Alberto Carmona‐Bayonas, María Rosa Bella, et al.. (2023). 2224P Identifying prognostic factors in patients with radioiodine-refractory differentiated thyroid carcinoma (RR-DTC) treated with tyrosine kinase inhibitors (TKI): Data from REGETNE registry. Annals of Oncology. 34. S1146–S1146. 2 indexed citations
6.
Araujo‐Castro, Marta, Eider Pascual‐Corrales, Ana María García Cano, et al.. (2022). Evaluation of Body Composition in Patients With and Without Adrenal Tumors and Without Overt Hypersecretory Syndromes. Endocrine Practice. 29(2). 110–118. 4 indexed citations
7.
Araujo‐Castro, Marta, Héctor F. Escobar‐Morreale, & Pablo Valderrábano. (2022). A Proposal for Nomenclature Revision of Nonfunctioning Adrenal Incidentalomas as Adrenal Lesions of Undetermined Secretion of Adrenal Steroids (ALUSAS). Endocrine Practice. 28(9). 918–920. 8 indexed citations
8.
Araujo‐Castro, Marta, et al.. (2021). Diagnostic accuracy of the different hormonal tests used for the diagnosis of autonomous cortisol secretion. Scientific Reports. 11(1). 20539–20539. 16 indexed citations
9.
Araujo‐Castro, Marta, Paola Parra Ramírez, Rogelio García Centeno, et al.. (2021). Maximum adenoma diameter, regardless of uni- or bilaterality, is a risk factor for autonomous cortisol secretion in adrenal incidentalomas. Journal of Endocrinological Investigation. 44(11). 2349–2357. 16 indexed citations
10.
Araujo‐Castro, Marta, Paola Parra Ramírez, Rogelio García Centeno, et al.. (2021). Accuracy of the dexamethasone suppression test for the prediction of autonomous cortisol secretion-related comorbidities in adrenal incidentalomas. HORMONES. 20(4). 735–744. 14 indexed citations
11.
Williams, Vonetta L., et al.. (2020). Thyroid Cancer Incidence Trends in the United States: Association with Changes in Professional Guideline Recommendations. Thyroid. 30(8). 1132–1140. 84 indexed citations
12.
Hernandez‐Prera, Juan C., Pablo Valderrábano, Robbert J.C. Slebos, et al.. (2020). Molecular Determinants of Thyroid Nodules with Indeterminate Cytology and RAS Mutations. Thyroid. 31(1). 36–49. 15 indexed citations
13.
Araujo‐Castro, Marta, Pablo Valderrábano, Héctor F. Escobar‐Morreale, Felicia A. Hanzu, & Gregori Casals. (2020). Urine steroid profile as a new promising tool for the evaluation of adrenal tumors. Literature review. Endocrine. 72(1). 40–48. 24 indexed citations
14.
Marcadis, Andrea, Pablo Valderrábano, Allen S. Ho, et al.. (2018). Interinstitutional variation in predictive value of the ThyroSeq v2 genomic classifier for cytologically indeterminate thyroid nodules. Surgery. 165(1). 17–24. 49 indexed citations
15.
Valderrábano, Pablo, Laila Khazai, Zachary Thompson, et al.. (2017). Cancer Risk Stratification of Indeterminate Thyroid Nodules: A Cytological Approach. Thyroid. 27(10). 1277–1284. 28 indexed citations
16.
Valderrábano, Pablo, Laila Khazai, Marino E. Leon, et al.. (2017). Evaluation of ThyroSeq v2 performance in thyroid nodules with indeterminate cytology. Endocrine Related Cancer. 24(3). 127–136. 102 indexed citations
17.
Valderrábano, Pablo, Marino E. Leon, Barbara A. Centeno, et al.. (2016). Institutional prevalence of malignancy of indeterminate thyroid cytology is necessary but insufficient to accurately interpret molecular marker tests. European Journal of Endocrinology. 174(5). 621–629. 44 indexed citations
18.
19.
Valderrábano, Pablo, Victor Zota, Bryan McIver, Domenico Coppola, & Marino E. Leon. (2015). Molecular Assays in Cytopathology for Thyroid Cancer. Cancer Control. 22(2). 152–157. 9 indexed citations
20.
Valderrábano, Pablo, et al.. (2013). Results of repeated transsphenoidal surgery in Cushing's disease. Long-term follow-up. Endocrinología y Nutrición. 61(4). 176–183. 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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