Ana Valea

882 citations
85 papers · 534 · h-index 15

Impact in

Papers in

Ana Valea

72 papers receiving 515 citations

Peers

Ana Valea
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 168
  • Nephrology 55
  • Reproductive Medicine 58
  • Neurology 58
  • Obstetrics and Gynecology 28
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Chang Chu China
Hülya Ilıksu Gözü Türkiye
Cătălina Poiană Romania
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Penelope Trimpou Sweden
Refik Tanakol Türkiye
Nilgün Güvener Demirağ Türkiye
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Citations per year

Countries citing papers authored by Ana Valea

Since Specialization
Citations

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

Fields of papers citing papers by Ana Valea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ana Valea, 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 Ana Valea Line = papers co-authored together Ana Valea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202054
2 201838
3 200333
4 202025
5 201524
6 202021
7
Incidentaloma: from general practice to specific endocrine frame.
201721
8 201620
9
Adrenalectomy for Cushing's syndrome: do's and don'ts.
201720
10 202118
11
Is epicardial adipose tissue, assessed by echocardiography, a reliable method for visceral adipose tissue prediction?
201117
12 202115
13
Parathyroidectomy: is vitamin D a player for a good outcome?
201714
14 202014
15 201714
16 202114
17
Chronic autoimmune thyroiditis and obesity
201813
18 201811
19 202310
20
Ectopic intrathyroid parathyroid adenoma: diagnostic and therapeutic challenges due to multiple osteolytic lesions. Case report.
201110

About Ana Valea

Ana Valea is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Pathology and Forensic Medicine, Epidemiology and Orthopedics and Sports Medicine, having authored 85 papers that have together received 534 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (25 papers), Vitamin D Research Studies (13 papers), Adrenal and Paraganglionic Tumors (12 papers), Bone health and osteoporosis research (11 papers), Thyroid Disorders and Treatments (10 papers), Neuroblastoma Research and Treatments (8 papers), Growth Hormone and Insulin-like Growth Factors (8 papers) and Bone health and treatments (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (168 citations), Nephrology (55 citations), Reproductive Medicine (58 citations), Neurology (58 citations) and Obstetrics and Gynecology (28 citations). Ana Valea has collaborated with scholars based in Romania, United States and Czechia. Frequent co-authors include Mara Carşote, Carmen Emanuela Georgescu, Florica Şandru, Mihai Cristian Dumitrașcu, Cristina Ghervan, Adina GHEMIGIAN, Răzvan Petca, Dan Nicolae Păduraru, Alina Silaghi and Aida Petca. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Clinical Medicine, Life, Annals of the Rheumatic Diseases and HORMONES.

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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