V. Bláha

2.6k citations
154 papers · 1.5k indexed · h-index 22

V. Bláha

130 papers receiving 1.5k citations

Peers

V. Bláha
Comparison fields: 5 of 129
  • Endocrine and Autonomic Systems 200
  • Endocrinology, Diabetes and Metabolism 206
  • Behavioral Neuroscience 41
  • Nutrition and Dietetics 149
  • Surgery 411
Replace Chi Zhang with:
Chi Zhang China
Rolf G. G. Andersson Sweden
Maria Górska Poland
Anna Santoro Italy
Kensaku Okamoto Japan
Dora Il’yasova United States
Hye‐Youn Cho United States
Thomas Ebert Germany
Tong‐Yuan Tai Taiwan
Cornelia Huth Germany
V. Bláha relative to Chi Zhang China Chi Zhang's profile →
Citations per field
00.5×3.4×
Chi Zhang · 1×
Citations per year

Countries citing papers authored by V. Bláha

Since Specialization
Citations

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

Fields of papers citing papers by V. Bláha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20231
5 202010
6 20201
7 20190
8 20181
9
[Familial hypercholesterolemia in the Czech Republic in 2016].
20171
10
[PCSK9 inhibitors - new possibilities in the treatment of hypercholesterolemia: For which patients will be indicated?Czech atherosclerosis society statement].
20161
11 201535
12 20144
13
Léčba hypercholesterolemie inhibitory PCSK9
20140
14
Stanovisko výboru ČSAT k doporučením ESC/EAS pro diagnostiku a léčbu dyslipidemií z roku 2011
20130
15
Perspektivy dalšího snižování cholesterolu pomocí blokády PCSK9
20131
16 20104
17 20099
18 200517
19 19987
20 199837

About V. Bláha

V. Bláha is a scholar working on Endocrine and Autonomic Systems, Surgery and Endocrinology, Diabetes and Metabolism, having authored 154 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (50 papers), Cholesterol and Lipid Metabolism (16 papers), Cancer, Lipids, and Metabolism (16 papers), Diet and metabolism studies (12 papers), Regulation of Appetite and Obesity (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Retinal Diseases and Treatments (10 papers) and Atherosclerosis and Cardiovascular Diseases (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (200 citations), Endocrinology, Diabetes and Metabolism (206 citations) and Behavioral Neuroscience (41 citations). V. Bláha has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Z Zadák, M. Bláha, Dagmar Solichová, Michael M. Meguid, L. Sobótka, Alessandro Laviano, Jiake Chai, J Malý, Albert Oler and Zhong‐Jin Yang. Their work appears in journals such as Atherosclerosis Supplements, Atherosclerosis, Nutrition, Physiological Research and Nutrients.

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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