Sergio Vidal

2.3k total citations
72 papers, 1.8k citations indexed

About

Sergio Vidal is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, Sergio Vidal has authored 72 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Endocrinology, Diabetes and Metabolism, 23 papers in Molecular Biology and 15 papers in Genetics. Recurrent topics in Sergio Vidal's work include Pituitary Gland Disorders and Treatments (29 papers), Growth Hormone and Insulin-like Growth Factors (16 papers) and Angiogenesis and VEGF in Cancer (12 papers). Sergio Vidal is often cited by papers focused on Pituitary Gland Disorders and Treatments (29 papers), Growth Hormone and Insulin-like Growth Factors (16 papers) and Angiogenesis and VEGF in Cancer (12 papers). Sergio Vidal collaborates with scholars based in Spain, Canada and United States. Sergio Vidal's co-authors include Kálmán Kovács, Ricardo V. Lloyd, Bernd W. Scheithauer, Éva Horváth, Takao Kuroki, Lucia Ştefăneanu, B. W. Scheithauer, Kalman Kovacs, Rosa Cal and Francesc Piferrer and has published in prestigious journals such as Cancer, Endocrinology and American Journal Of Pathology.

In The Last Decade

Sergio Vidal

72 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio Vidal Spain 25 1.0k 530 393 318 273 72 1.8k
Henning B. Boldt Denmark 23 744 0.7× 833 1.6× 275 0.7× 145 0.5× 321 1.2× 44 2.2k
Nobuyoshi Shimizu Japan 24 975 1.0× 922 1.7× 307 0.8× 225 0.7× 79 0.3× 43 3.2k
Antônio Marcondes Lerário United States 30 1.1k 1.0× 1.2k 2.3× 325 0.8× 1.0k 3.2× 863 3.2× 139 3.3k
Daniel Kelberman United Kingdom 28 717 0.7× 1.1k 2.1× 219 0.6× 269 0.8× 135 0.5× 43 2.2k
Harry P. Elsholtz Canada 21 1.4k 1.4× 1.5k 2.9× 68 0.2× 189 0.6× 281 1.0× 27 2.8k
C. Ezrin Canada 29 2.0k 1.9× 381 0.7× 251 0.6× 624 2.0× 116 0.4× 100 2.8k
Lisbeth S. Laursen Denmark 23 770 0.8× 799 1.5× 56 0.1× 139 0.4× 273 1.0× 31 2.0k
Yisrael Sidis United States 32 292 0.3× 2.1k 4.0× 987 2.5× 192 0.6× 182 0.7× 47 4.1k
Tata Nageswara Rao United States 19 248 0.2× 1.8k 3.5× 255 0.6× 391 1.2× 798 2.9× 32 3.6k
Kaechoong Lee United States 17 517 0.5× 2.1k 4.0× 143 0.4× 193 0.6× 330 1.2× 24 3.1k

Countries citing papers authored by Sergio Vidal

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Vidal

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Vidal. A scholar is included among the top collaborators of Sergio Vidal 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 Sergio Vidal. Sergio Vidal 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.
Lombardero, Matilde, Sergio Vidal, Robert A. R. Hurta, et al.. (2006). Modulation of VEGF/Flk-1 receptor expression in the rat pituitary GH3 cell line by growth factors. Pituitary. 9(2). 137–143. 4 indexed citations
2.
Öngürü, Önder, Bernd W. Scheithauer, Kálmán Kovács, et al.. (2004). Analysis of Cox-2 and Thromboxane Synthase Expression in Pituitary Adenomas and Carcinomas. Endocrine Pathology. 15(1). 17–28. 24 indexed citations
3.
Bell, C. David, Sergio Vidal, Kálmán Kovács, Jennifer Anderson, & Fabio Rotondo. (2004). Cox-2 Expression in the Oxyphilic Cells of the Normal, Hyperplastic, and Adenomatous Parathyroid Gland. Endocrine Pathology. 15(1). 29–38. 6 indexed citations
4.
Pesini, Pedro, et al.. (2004). The Neonatal Treatment of Rats with Monosodium Glutamate Induces Morphological Changes in the Subfornical Organ. Anatomia Histologia Embryologia. 33(5). 273–277. 9 indexed citations
5.
Vidal, Sergio, Kalman Kovacs, David C. Bell, et al.. (2003). Cyclooxygenase‐2 expression in human pituitary tumors. Cancer. 97(11). 2814–2821. 36 indexed citations
6.
Vidal, Sergio, Kálmán Kovács, Éva Horváth, et al.. (2002). Topoisomerase IIα Expression in Pituitary Adenomas and Carcinomas: Relationship to Tumor Behavior. Modern Pathology. 15(11). 1205–1212. 37 indexed citations
7.
Vidal, Sergio, Fabio Rotondo, Éva Horváth, Kálmán Kovács, & Bernd W. Scheithauer. (2002). Immunocytochemical Localization of Mast Cells in Lymphocytic Hypophysitis. American Journal of Clinical Pathology. 117(3). 478–483. 14 indexed citations
8.
Bell, C. David, Sergio Vidal, Kálmán Kovács, Éva Horváth, & Fabio Rotondo. (2002). An Immunohistochemical Survey of Nine Cases of Medullary Carcinoma of Thyroid Including Reactivity for Cox-1 and Cox-2 Enzymes. Endocrine Pathology. 13(4). 331–340. 13 indexed citations
9.
10.
Vidal, Sergio, et al.. (2001). Ultrastructural Features of Apoptosis in Human Pituitary Adenomas. Ultrastructural Pathology. 25(2). 85–92. 19 indexed citations
11.
Lloyd, Ricardo V., Long Jin, Itaru Tsumanuma, et al.. (2001). Leptin and Leptin Receptor in Anterior Pituitary Function. Pituitary. 4(1-2). 33–47. 68 indexed citations
12.
Guañabens, Núria, Pilar Peris, Sergio Vidal, et al.. (2001). Usefulness of biochemical markers of bone turnover in assessing response to the treatment of paget’s disease. Bone. 29(5). 447–452. 50 indexed citations
13.
Vidal, Sergio, et al.. (2000). Immunolocalization of vascular endothelial growth factor in the GH3 cell line. Cell and Tissue Research. 300(1). 83–88. 28 indexed citations
14.
Vidal, Sergio, Bernd W. Scheithauer, & Kálmán Kovács. (2000). Vascularity in Nontumorous Human Pituitaries and Incidental Microadenomas: A Morphometric Study. Endocrine Pathology. 11(3). 215–228. 29 indexed citations
15.
Vidal, Sergio, et al.. (2000). Expression of 3 beta-hydroxysteroid dehydrogenase/isomerase in the female rat pituitary. Journal of Endocrinology. 166(1). 95–101. 6 indexed citations
16.
Vidal, Sergio, Kálmán Kovács, Sandra Cohen, et al.. (1999). Localization of vascular endothelial growth factor in nontumorous human pituitaries. Endocrine Pathology. 10(2). 109–122. 20 indexed citations
17.
18.
Vidal, Sergio, et al.. (1999). Expression of von Hippel-Lindau Protein (VHL-P) in Nontumorous and Adenomatous Human Pituitaries. Pituitary. 1(3-4). 227–232. 9 indexed citations
19.
Vidal, Sergio, et al.. (1998). Simultaneous localization of Pit-1 protein and gonadotropins on the same cell type in the anterior pituitary glands of the rat. Histochemistry and Cell Biology. 110(2). 183–188. 14 indexed citations
20.
Vidal, Sergio, et al.. (1997). Ultrastructural and Immunocytochemical Studies of Prolactin-Secreting Cells in Adenohypophysis of the Mink (Mustela vison). General and Comparative Endocrinology. 107(3). 311–321. 3 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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