Václav Hána

2.9k citations
71 papers · 1.2k indexed · h-index 22
Topics
Pituitary Gland Disorders and Treatments (35 papers)Growth Hormone and Insulin-like Growth Factors (30 papers)Adrenal and Paraganglionic Tumors (15 papers)
Partner nations
CzechiaCanadaBelgium

In The Last Decade

Václav Hána

70 papers receiving 1.2k citations

Peers

Václav Hána
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 959
  • Surgery 326
  • Epidemiology 251
  • Molecular Biology 184
  • Genetics 150
Replace Vivien Bonert with:
Vivien Bonert United States
Antonella Giampietro Italy
G. Plewe Germany
Katarina Berinder Sweden
Gaetana Cerbone Italy
PM Stewart United Kingdom
Gail J. Mick United States
N Yordam Türkiye
Marie Bex Belgium
Maria Gueorguiev United Kingdom
Václav Hána relative to Vivien Bonert United States Vivien Bonert's profile →
Citations per field
00.5×1.5×
Vivien Bonert · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 9
3 5
4 40
5 6
6 5
7 9
8 7
9 2
10 3
11
[Recommendation of the Czech Society of Endocrinology for the treatment of Cushing's syndrome in adults].
0
12 38
13 31
14 21
15 20
16 62
17 17
18 30
19
[Spontaneous remission of corticosteroid osteopenia after successful surgical treatment of Cushing's syndrome. A cross-sectional study].
2
20 57

About Václav Hána

Václav Hána is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Genetics, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this 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). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (959 citations), Genetics (150 citations) and Behavioral Neuroscience (33 citations). Václav Hána has collaborated with scholars based in Czechia, Canada and Belgium. Frequent co-authors include J Marek, Michal Kršek, Liam J. Murphy, Jana Ježková, Vladimı́r Weiss, Ladislav Pecen, Vilibald Vladyka, Josef V. Silha, V Justová and J Štěpán. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and The American Journal of Cardiology.

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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