Václav Hána

2.9k total citations
71 papers, 1.2k citations indexed

About

Václav Hána is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Václav Hána has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Endocrinology, Diabetes and Metabolism, 17 papers in Surgery and 12 papers in Genetics. Recurrent topics in Václav Hána's work include Pituitary Gland Disorders and Treatments (35 papers), Growth Hormone and Insulin-like Growth Factors (30 papers) and Adrenal and Paraganglionic Tumors (15 papers). Václav Hána is often cited by papers focused on Pituitary Gland Disorders and Treatments (35 papers), Growth Hormone and Insulin-like Growth Factors (30 papers) and Adrenal and Paraganglionic Tumors (15 papers). Václav Hána collaborates with scholars based in Czechia, Canada and Belgium. Václav Hána's co-authors include J Marek, Michal Kršek, Liam J. Murphy, Jana Ježková, Vladimı́r Weiss, Ladislav Pecen, Vilibald Vladyka, Josef V. Silha, J Štěpán and V Justová and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and The American Journal of Cardiology.

In The Last Decade

Václav Hána

70 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Václav Hána Czechia 22 959 326 251 184 150 71 1.2k
Antonella Giampietro Italy 26 1.5k 1.5× 491 1.5× 339 1.4× 233 1.3× 240 1.6× 107 1.8k
Vivien Bonert United States 21 2.0k 2.1× 887 2.7× 356 1.4× 200 1.1× 235 1.6× 43 2.2k
Marie Bex Belgium 21 1.2k 1.2× 423 1.3× 163 0.6× 364 2.0× 79 0.5× 39 1.8k
G. Plewe Germany 14 1.1k 1.2× 329 1.0× 204 0.8× 350 1.9× 128 0.9× 19 1.6k
Gaetana Cerbone Italy 21 1.6k 1.7× 605 1.9× 229 0.9× 309 1.7× 96 0.6× 39 1.9k
Maria Gueorguiev United Kingdom 22 567 0.6× 363 1.1× 212 0.8× 295 1.6× 129 0.9× 33 1.4k
PM Stewart United Kingdom 4 866 0.9× 138 0.4× 64 0.3× 155 0.8× 92 0.6× 4 969
Michael M. Ritter Germany 18 551 0.6× 476 1.5× 259 1.0× 206 1.1× 24 0.2× 43 1.2k
Gail J. Mick United States 12 324 0.3× 222 0.7× 198 0.8× 206 1.1× 184 1.2× 45 1.1k
R. Page United Kingdom 16 514 0.5× 274 0.8× 71 0.3× 159 0.9× 79 0.5× 26 847

Countries citing papers authored by Václav Hána

Since Specialization
Citations

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

Fields of papers citing papers by Václav Hána

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Václav Hána

This figure shows the co-authorship network connecting the top 25 collaborators of Václav Hána. A scholar is included among the top collaborators of Václav Hána 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 Václav Hána. Václav Hána 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.
Amodru, Vincent, Patrick Pétrossians, Annamaria Colao, et al.. (2020). Discordant biological parameters of remission in acromegaly do not increase the risk of hypertension or diabetes: a study with the Liege Acromegaly Survey database. Endocrine. 70(1). 134–142. 9 indexed citations
2.
Hill, Martin, Václav Hána, Marta Velíková, et al.. (2019). A method for determination of one hundred endogenous steroids in human serum by gas chromatography-tandem mass spectrometry.. Physiological Research. 68(2). 179–207. 40 indexed citations
3.
Ježková, Jana, László Wenchich, Hana Hansíková, et al.. (2019). <p>The relationship of mitochondrial dysfunction and the development of insulin resistance in Cushing’s syndrome</p>. Diabetes Metabolic Syndrome and Obesity. Volume 12. 1459–1471. 5 indexed citations
4.
Shimon, Ilan, Corin Badiu, Artur Bossowski, et al.. (2019). Adult growth hormone deficiency in CEE region: Heterogeneity of the patient pathway. Growth Hormone & IGF Research. 46-47. 44–49. 6 indexed citations
5.
6.
Masopust, Václav, David Netuka, Vladimír Beneš, et al.. (2016). Magnetic resonance imaging and histology correlation in Cushing's disease. Neurologia i Neurochirurgia Polska. 51(1). 45–52. 7 indexed citations
7.
Dušková, Michaela, Kateřina Šimůnková, Jana Vítků, et al.. (2016). A Comparison of Salivary Steroid Levels during Diagnostic Tests for Adrenal Insufficiency. Prague Medical Report. 117(1). 18–33. 9 indexed citations
8.
Dušková, Michaela, Lucie Kolátorová, Martin Hill, et al.. (2016). The Response of C19 Δ5-steroids to ACTH Stimulation and Hypoglycemia in Insulin Tolerance Test for Adrenal Insufficiency. Prague Medical Report. 117(2-3). 98–107. 2 indexed citations
9.
Kloučková, Jana, Z Lacinová, Petra Kaválková, et al.. (2016). The Possible Role of mRNA Expression Changes of GH/IGF-1/Insulin Axis Components in Subcutaneous Adipose Tissue in Metabolic Disturbances of Patients With Acromegaly. Physiological Research. 65(3). 493–503. 2 indexed citations
10.
Vila, Greisa, Ann‐Charlotte Åkerblad, Anders Mattsson, et al.. (2015). Pregnancy outcomes in women with growth hormone deficiency. Fertility and Sterility. 104(5). 1210–1217.e1. 27 indexed citations
11.
Kosák, Mikuláš, Václav Hána, Martin Hill, et al.. (2014). Serum Cortisol Seems To Be a More Appropriate Marker for Adrenocortical Reserve Evaluation in ACTH Test in Comparison to Salivary Cortisol. Physiological Research. 63(2). 229–236. 10 indexed citations
12.
J, Cáp, et al.. (2013). [Recommendation of the Czech Society of Endocrinology for the treatment of Cushing's syndrome in adults].. PubMed. 59(9). 819–27.
13.
Hána, Václav, Mikuláš Kosák, Václav Masopust, et al.. (2012). Hypothalamo-Pituitary Dysfunction in Patients With Chronic Subdural Hematoma. Physiological Research. 61(2). 161–167. 5 indexed citations
14.
Marek, J, Jana Ježková, Václav Hána, et al.. (2010). Is it possible to avoid hypopituitarism after irradiation of pituitary adenomas by the Leksell gamma knife?. European Journal of Endocrinology. 164(2). 169–178. 35 indexed citations
15.
Jarkovská, Z, M Rosická, J Marek, et al.. (2006). Plasma levels of total and active ghrelin in acromegaly and growth hormone deficiency. Physiological Research. 55(2). 175–181. 20 indexed citations
17.
Hána, Václav, Martin Prázný, J Marek, J Škrha, & V Justová. (2002). Reduced microvascular perfusion and reactivity in adult GH deficient patients is restored by GH replacement. European Journal of Endocrinology. 147(3). 333–337. 19 indexed citations
18.
Hána, Václav, et al.. (2001). Recurrent ACTH‐independent Cushing's syndrome in multiple pregnancies and its treatment with metyrapone. Clinical Endocrinology. 54(2). 277–281. 52 indexed citations
19.
Štěpán, J, et al.. (1997). [Spontaneous remission of corticosteroid osteopenia after successful surgical treatment of Cushing's syndrome. A cross-sectional study].. PubMed. 136(15). 464–7. 2 indexed citations
20.
Hána, Václav & Liam J. Murphy. (1994). Interdependence of epidermal growth factor and insulin-like growth factor-I expression in the mouse uterus.. Endocrinology. 135(1). 107–112. 27 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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