V. Belan

27 papers receiving 808 citations

Peers

V. Belan
Comparison fields: 5 of 70
  • Physiology 415
  • Rehabilitation 82
  • Endocrinology, Diabetes and Metabolism 84
  • Epidemiology 153
  • Genetics 44
Replace Ekaterina Chernogubova with:
Ekaterina Chernogubova Sweden
Maha Coucha United States
Ana Senra Spain
Mette Cathrine Ørngreen Denmark
Adam J. Bree United States
Haimin Xu China
Michio Noguchi Japan
Carlos Castaño Spain
Yunhui Du China
Stefan‐Martin Brand Germany
V. Belan relative to Ekaterina Chernogubova Sweden Ekaterina Chernogubova's profile →
Citations per field
00.5×6.3×
Ekaterina Chernogubova · 1×
Citations per year

Countries citing papers authored by V. Belan

Since Specialization
Citations

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

Fields of papers citing papers by V. Belan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013351
2 201456
3 199247
4 201446
5 200845
6 199841
7 201533
8 200929
9 201726
10 201424
11 202122
12 200118
13 200817
14 199812
15
Neurofilament light chain and MRI volume parameters as markers of neurodegeneration in multiple sclerosis.
202011
16 201010
17 202110
18
The value of prognostic factors in the management of stage I nonseminomatous germ cell testicular tumors (NSGCTT).
19969
19
Monitoring of patients with non-seminomatous germ cell tumors of the testis by determination of alpha-fetoprotein and beta-human chorionic gonadotropin levels and by computed tomography.
19928
20 19927

About V. Belan

V. Belan is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 28 papers that have together received 838 indexed citations. Recurring topics across this work include Testicular diseases and treatments (6 papers), Sarcoma Diagnosis and Treatment (4 papers), Glioma Diagnosis and Treatment (4 papers), Muscle metabolism and nutrition (2 papers), Neuroblastoma Research and Treatments (2 papers), Lanthanide and Transition Metal Complexes (2 papers), Adipose Tissue and Metabolism (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Physiology (415 citations), Rehabilitation (82 citations), Endocrinology, Diabetes and Metabolism (84 citations), Epidemiology (153 citations) and Genetics (44 citations). V. Belan has collaborated with scholars based in Slovakia, Switzerland and United States. Frequent co-authors include Jozef Ukropec, Barbara Ukropcová, Tímea Kurdiová, Miroslav Baláž, Daniela Gašperíková, Christian Wolfrum, Richard Imrich, Miroslav Vlček, I Klimeś and M Vician. Their work appears in journals such as Acta Neurochirurgica, Magnetic Resonance Materials in Physics Biology and Medicine, Obesity, Frontiers in Endocrinology and The Journal of Physiology.

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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