Václav Bazgier

2.4k citations
36 papers · 1.6k indexed · 1 hit paper · h-index 16
Topics
Pharmacogenetics and Drug Metabolism (5 papers)Computational Drug Discovery Methods (5 papers)Protein Structure and Dynamics (4 papers)
Partner nations
CzechiaBelgiumFrance

In The Last Decade

Václav Bazgier

34 papers receiving 1.6k citations

Hit Papers

Mol* Viewer: modern web app for 3D visualization and anal...20212026202220242021200400600

Peers

Václav Bazgier
Comparison fields: 5 of 129
  • Molecular Biology 916
  • Organic Chemistry 277
  • Plant Science 174
  • Oncology 161
  • Computational Theory and Mathematics 134
Replace Angelo Spinello with:
Angelo Spinello Italy
Hui Sun Lee United States
James R. Kiefer United States
Brigitte Meunier France
Marc Ruff France
Vincent Peyrot France
Lauren Raguette United States
Heino Prinz Germany
Yuan Chen United States
Naixia Zhang China
Václav Bazgier relative to Angelo Spinello Italy Angelo Spinello's profile →
Citations per field
00.5×5.5×
Angelo Spinello · 1×
Citations per year

Countries citing papers authored by Václav Bazgier

Since Specialization
Citations

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

Fields of papers citing papers by Václav Bazgier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Václav Bazgier

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 1
5 7
6 8
7 15
8 20
9 16
10 1
11 141
12 3
13 13
14 5
15 48
16 37
17 89
18 10
19 21
20 6

About Václav Bazgier

Václav Bazgier is a scholar working on Toxicology, Pharmacology and Aquatic Science, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Computational Drug Discovery Methods (5 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Toxicology (53 citations), Molecular Biology (916 citations) and Pharmacology (111 citations). Václav Bazgier has collaborated with scholars based in Czechia, Belgium and France. Frequent co-authors include Karel Berka, Radka Svobodová Vařeková, David Sehnal, Jaroslav Koča, Alexander Rose, Mandar Deshpande, Sameer Velankar, Sebastian Bittrich, S.K. Burley and Michal Otyepka. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and International Journal of Molecular 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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