Jan Vacek

4.5k citations
152 papers · 3.3k indexed · h-index 30

Impact in

    • Electrochemical Analysis and Applications
    • Phytochemicals and Antioxidant Activities
    • Sulfur Compounds in Biology

Papers in

Jan Vacek

145 papers receiving 3.2k citations

Peers

Jan Vacek
Comparison fields: 5 of 144
  • Electrochemistry 452
  • Biochemistry 276
  • Biochemistry 280
  • Bioengineering 144
  • Aquatic Science 177
Replace Anisur Rahman Khuda‐Bukhsh with:
Anisur Rahman Khuda‐Bukhsh India
Lingling Yang China
Claudio Olea‐Azar Chile
Ladislav Novotný Czechia
Gustavo Amadeu Micke Brazil
Fang Wei China
Hari Mohan India
Yufeng Zhang China
Feng Yang China
Marı́a Luisa Marina Spain
Jan Vacek relative to Anisur Rahman Khuda‐Bukhsh India Anisur Rahman Khuda‐Bukhsh's profile →
Citations per field
00.5×1.5×2.5×
Anisur Rahman Khuda‐Bukhsh · 1×
Citations per year

Countries citing papers authored by Jan Vacek

Since Specialization
Citations

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

Fields of papers citing papers by Jan Vacek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20250
4 20250
5 20240
6 20249
7 202310
8 20232
9 202310
10 20234
11 20215
12 20209
13 20204
14 201920
15 20192
16 201928
17 201816
18 20184
19
Metalothionein jako prognostický marker nádorového onemocnění
20042
20
Study of relationship between metallothionein and heavy metalsby chronopotentiometry stripping analysis
20041

About Jan Vacek

Jan Vacek is a scholar working on Electrochemistry, Biochemistry, Bioengineering, Biochemistry and Pharmacology, having authored 152 papers that have together received 3.3k indexed citations. Recurring topics across this work include Electrochemical Analysis and Applications (33 papers), Electrochemical sensors and biosensors (22 papers), Advanced biosensing and bioanalysis techniques (18 papers), Free Radicals and Antioxidants (14 papers), Synthesis and Properties of Aromatic Compounds (13 papers), Analytical Chemistry and Sensors (13 papers), Phytochemicals and Antioxidant Activities (13 papers) and Silymarin and Mushroom Poisoning (12 papers). The work is most often cited by research in Electrochemistry (452 citations), Biochemistry (276 citations), Biochemistry (280 citations), Bioengineering (144 citations) and Aquatic Science (177 citations). Jan Vacek has collaborated with scholars based in Czechia, Poland and France. Frequent co-authors include Bořivoj Klejdus, René Kizek, Libuše Trnková, Jitka Ulrichová, Martina Zatloukalová, Vladimı́r Křen, Vlastimil Kubáň, Barbora Papoušková, Jiřı́ Vrba and Jitka Petrlová. Their work appears in journals such as Electroanalysis, Bioelectrochemistry, Journal of Pharmaceutical and Biomedical Analysis, Free Radical Biology and Medicine and Journal of Electroanalytical Chemistry.

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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