Miroslav Baláž

2.9k citations
47 papers · 1.6k indexed · 1 hit paper · h-index 19

Miroslav Baláž

44 papers receiving 1.6k citations

Hit Papers

snRNA-seq reveals a subpopulation of adipocytes that regu...232202020262022202450100150200

Peers

Miroslav Baláž
Comparison fields: 5 of 104
  • Physiology 1.1k
  • Rehabilitation 230
  • Biochemistry 127
  • Epidemiology 558
  • Cell Biology 210
Replace Christian Schlein with:
Christian Schlein Germany
Sindre Lee-Ødegård Norway
Rubén Cereijo Spain
Eva Klimčáková France
Céline Aguer Canada
George Bikopoulos Canada
Kim A. Sjøberg Denmark
Takamasa Higashimori United States
Serge Phoenix Canada
Dominique Larrouy France
Miroslav Baláž relative to Christian Schlein Germany Christian Schlein's profile →
Citations per field
00.5×
Christian Schlein · 1×
Citations per year

Countries citing papers authored by Miroslav Baláž

Since Specialization
Citations

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

Fields of papers citing papers by Miroslav Baláž

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202413
4 20239
5 202315
6 20232
7 202247
8 202111
9 202121
10 202021
11 20208
12
snRNA-seq reveals a subpopulation of adipocytes that regulates thermogenesisbreakdown →
2020232
13 201992
14 201887
15 201820
16 20164
17 201695
18 201444
19
Prediabetes in adult GH deficiency is associated with a substantial reduction in serum and adipose tissue expression levels of zinc-[alpha]2-glycoprotein
20121
20 201212

About Miroslav Baláž

Miroslav Baláž is a scholar working on Physiology, Rehabilitation and Applied Microbiology and Biotechnology, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (31 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), Muscle metabolism and nutrition (7 papers), Exercise and Physiological Responses (7 papers), Cardiovascular Disease and Adiposity (6 papers), Lipid metabolism and biosynthesis (6 papers), Regulation of Appetite and Obesity (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Physiology (1.1k citations), Rehabilitation (230 citations) and Biochemistry (127 citations). Miroslav Baláž has collaborated with scholars based in Slovakia, Switzerland and United States. Frequent co-authors include Christian Wolfrum, Jozef Ukropec, Barbara Ukropcová, Wenfei Sun, Tímea Kurdiová, Patrik Štefanička, V. Belan, Lianggong Ding, I Klimeś and Daniela Gašperíková.

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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