Sergio Vidal

2k citations
62 papers · 1.7k · h-index 23

Impact in

Papers in

Sergio Vidal

62 papers receiving 1.6k citations

Peers

Sergio Vidal
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Physiology 76
  • Endocrine and Autonomic Systems 59
  • Reproductive Medicine 106
  • Aquatic Science 30
Replace David F. Gordon with:
David F. Gordon United States
Varadaraj Chandrashekar United States
Marino Bortolussi Italy
Bruno Barenton France
Maïté Montero‐Hadjadje France
Sheau Yu Hsu United States
John B. Allard United States
Marit Bakke Norway
Chi‐Kuang Leo Wang Taiwan
Romain Guyot France
Sergio Vidal relative to David F. Gordon United States David F. Gordon's profile →
Citations per field
00.5×2×4×6×
David F. Gordon · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sergio Vidal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sergio Vidal Line = papers co-authored together Sergio Vidal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999130
2 2001107
3
Differential expression of galectin-3 in pituitary tumors.
200396
4 200087
5 200587
6 200174
7 200173
8 200169
9 200458
10 200757
11 200253
12 200043
13 200341
14 200341
15 200239
16 200337
17 200036
18 200233
19 200232
20 200030

About Sergio Vidal

Sergio Vidal is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Physiology, Endocrine and Autonomic Systems and Molecular Biology, having authored 62 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (35 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Angiogenesis and VEGF in Cancer (9 papers), Hypothalamic control of reproductive hormones (6 papers), Reproductive biology and impacts on aquatic species (3 papers), Estrogen and related hormone effects (3 papers), Neuroendocrine Tumor Research Advances (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Physiology (76 citations), Endocrine and Autonomic Systems (59 citations), Reproductive Medicine (106 citations) and Aquatic Science (30 citations). Sergio Vidal has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Kálmán Kovács, Bernd Walter Scheithauer, Ricardo V. Lloyd, Éva Horváth, Takao Kuroki, Lucia Ştefăneanu, Sandra M. Cohen, Harley S. Smyth, Francesc Piferrer and Long Guo Jin. Their work appears in journals such as Endocrine Pathology, General and Comparative Endocrinology, Pituitary, Modern Pathology and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

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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