Josef Včelák

80 papers receiving 1.3k citations

Peers

Josef Včelák
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 497
  • Obstetrics and Gynecology 111
  • Reproductive Medicine 107
  • Endocrine and Autonomic Systems 66
  • Genetics 270
Replace Jianqing Zhou with:
Jianqing Zhou China
Anna Grandone Italy
Abu Saleh Md Moin Bahrain
Kerry J. McInnes United Kingdom
Běla Bendlová Czechia
Yun Shi China
Min Jin Go South Korea
T Gräser Germany
MarkéŽta Vaňkov‡á Czechia
Margarita Raygada United States
Josef Včelák relative to Jianqing Zhou China Jianqing Zhou's profile →
Citations per field
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Jianqing Zhou · 1×
Citations per year

Countries citing papers authored by Josef Včelák

Since Specialization
Citations

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

Fields of papers citing papers by Josef Včelák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020104
2 200887
3 201274
4 202169
5 201853
6
Search for new genetic biomarkers in poorly differentiated and anaplastic thyroid carcinomas using next generation sequencing.
201547
7 201237
8 201937
9 200735
10 201733
11 201332
12 201331
13 201031
14 202029
15
Selected pro- and anti-inflammatory cytokines in cerebrospinal fluid in normal pressure hydrocephalus.
201427
16 200224
17 200522
18 202022
19 201422
20 200721

About Josef Včelák

Josef Včelák is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Physiology and Surgery, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (15 papers), Ovarian function and disorders (10 papers), Adipose Tissue and Metabolism (10 papers), Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (8 papers), Regulation of Appetite and Obesity (7 papers), BRCA gene mutations in cancer (5 papers) and Diabetes and associated disorders (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (497 citations), Obstetrics and Gynecology (111 citations), Reproductive Medicine (107 citations), Endocrine and Autonomic Systems (66 citations) and Genetics (270 citations). Josef Včelák has collaborated with scholars based in Czechia, Italy and United States. Frequent co-authors include Běla Bendlová, MarkéŽta Vaňkov‡á, Daniela Vejražková, Eliška Václavíková, Petr Vlček, Vlasta Sýkorová, Daniela Kodetová, Martin Hill, Šárka Dvořáková and Jana Vrbíková. Their work appears in journals such as Physiological Research, International Journal of Molecular Sciences, The Journal of Steroid Biochemistry and Molecular Biology, Experimental and Clinical Endocrinology & Diabetes and Annals of the New York Academy of Sciences.

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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