Sergio Vidal

2.3k citations
72 papers · 1.8k indexed · h-index 25

Impact in

Papers in

Sergio Vidal

72 papers receiving 1.8k citations

Peers

Sergio Vidal
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Genetics 393
  • Physiology 124
  • Cancer Research 273
  • Endocrine and Autonomic Systems 113
Replace Kaechoong Lee with:
Kaechoong Lee United States
Yisrael Sidis United States
Lisbeth S. Laursen Denmark
Sharon A. Coolican United States
Veronica J. Roberts United States
Gladys S. Ingle United States
Janine A. Danks Australia
Robert Y. L. Tsai United States
Bernd Wollnik Germany
Sergio Vidal relative to Kaechoong Lee United States Kaechoong Lee's profile →
Citations per field
00.5×6.9×
Kaechoong Lee · 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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999128
2 2001105
3
Differential expression of galectin-3 in pituitary tumors.
200387
4 200582
5 200079
6 200171
7 200168
8 200168
9 200359
10 200454
11 200051
12 200150
13 200748
14 200246
15 200040
16 200339
17 200339
18 200237
19 200336
20 200034

About Sergio Vidal

Sergio Vidal is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Cancer Research, Endocrine and Autonomic Systems and Reproductive Medicine, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (29 papers), Growth Hormone and Insulin-like Growth Factors (16 papers), Cancer, Hypoxia, and Metabolism (12 papers), Angiogenesis and VEGF in Cancer (12 papers), Estrogen and related hormone effects (5 papers), Bone health and treatments (5 papers), Adrenal and Paraganglionic Tumors (5 papers) and Reproductive biology and impacts on aquatic species (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Genetics (393 citations), Physiology (124 citations), Cancer Research (273 citations) and Endocrine and Autonomic Systems (113 citations). Sergio Vidal has collaborated with scholars based in Spain, Canada and United States. Frequent co-authors include Kálmán Kovács, Ricardo V. Lloyd, Bernd W. Scheithauer, Éva Horváth, Takao Kuroki, Lucia Ştefăneanu, B. W. Scheithauer, Kalman Kovacs, Francesc Piferrer and Rosa Cal. Their work appears in journals such as Endocrine Pathology, Pituitary, General and Comparative Endocrinology, Modern Pathology and Cancer.

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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