Vladimı́r Weiss

589 total citations
10 papers, 447 citations indexed

About

Vladimı́r Weiss is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Vladimı́r Weiss has authored 10 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Vladimı́r Weiss's work include Growth Hormone and Insulin-like Growth Factors (6 papers), Pituitary Gland Disorders and Treatments (5 papers) and Lipid metabolism and disorders (2 papers). Vladimı́r Weiss is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (6 papers), Pituitary Gland Disorders and Treatments (5 papers) and Lipid metabolism and disorders (2 papers). Vladimı́r Weiss collaborates with scholars based in Czechia, Canada and South Sudan. Vladimı́r Weiss's co-authors include J Marek, Václav Hána, Jana Ježková, Michal Kršek, Ladislav Pecen, Vilibald Vladyka, Josef V. Silha, Liam J. Murphy, Karel Šonka and Josef Vymazal and has published in prestigious journals such as Clinical Endocrinology, European Journal of Endocrinology and Obstetrical & Gynecological Survey.

In The Last Decade

Vladimı́r Weiss

10 papers receiving 433 citations

Peers

Vladimı́r Weiss
Comparison fields: 5 of 51
  • Endocrinology, Diabetes and Metabolism 355
  • Surgery 106
  • Epidemiology 97
  • Genetics 85
  • Molecular Biology 70
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Shalet United Kingdom
Mirta Knoepfelmacher Brazil
S. Porretti Italy
Jessica K. Devin United States
M. J. THOMSETT Australia
H Gerl Germany
Sorana Marcovitz Canada
E. Sonnet France
Raquel S. Jallad Brazil
Riccardo Giorgino Italy
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Citations per field, relative to Vladimı́r Weiss
Vladimı́r Weiss · 1×
Citations per year, relative to Vladimı́r Weiss
Vladimı́r Weiss · 1×

Countries citing papers authored by Vladimı́r Weiss

Since Specialization
Citations

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

Fields of papers citing papers by Vladimı́r Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimı́r Weiss

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimı́r Weiss. A scholar is included among the top collaborators of Vladimı́r Weiss 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 Vladimı́r Weiss. Vladimı́r Weiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 2
2 3
3 38
4 118
5 27
6 45
7 41
8 62
9 65
10 46

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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