Ivan Mikšı́k

5.2k citations
196 papers · 4.1k · h-index 34

Impact in

Papers in

    • Protein Hydrolysis and Bioactive Peptides 11
    • Analytical Chemistry and Chromatography 33
    • Mass Spectrometry Techniques and Applications 13

Ivan Mikšı́k

196 papers receiving 4.0k citations

Peers

Ivan Mikšı́k
Comparison fields: 5 of 149
  • Spectroscopy 818
  • Animal Science and Zoology 305
  • Biomaterials 349
  • Clinical Biochemistry 169
  • Behavioral Neuroscience 83
Replace Eberhard Krause with:
Eberhard Krause Germany
Alain Van Dorsselaer France
Sunia A. Trauger United States
William W. Wells United States
Lello Zolla Italy
V. Neuhoff Germany
Angela Amoresano Italy
Ana Varela Coelho Portugal
Mary Ann K. Markwell United States
Wallace Dairman United States
Ivan Mikšı́k relative to Eberhard Krause Germany Eberhard Krause's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ivan Mikšı́k

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Mikšı́k

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009162
2 2007136
3 2010115
4 1996100
5 199688
6 199582
7 201072
8 200771
9 200566
10 200764
11 201259
12 201258
13 201457
14 200457
15 200756
16 200754
17 200853
18 200350
19 201845
20 199445

About Ivan Mikšı́k

Ivan Mikšı́k is a scholar working on Molecular Biology, Spectroscopy, Biomedical Engineering, Endocrinology, Diabetes and Metabolism and Biomaterials, having authored 196 papers that have together received 4.1k indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (38 papers), Analytical Chemistry and Chromatography (33 papers), Hormonal Regulation and Hypertension (26 papers), Collagen: Extraction and Characterization (15 papers), Advanced Glycation End Products research (14 papers), Mass Spectrometry Techniques and Applications (13 papers), Protein Hydrolysis and Bioactive Peptides (11 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (11 papers). The work is most often cited by research in Spectroscopy (818 citations), Animal Science and Zoology (305 citations), Biomaterials (349 citations), Clinical Biochemistry (169 citations) and Behavioral Neuroscience (83 citations). Ivan Mikšı́k has collaborated with scholars based in Czechia, Hungary and Italy. Frequent co-authors include Z. Deyl, Zdeněk Deyl, Adam Eckhardt, Jiřı́ Pácha, Pavla Sedláková, Statis Pataridis, Václav Kašička, Franco Tagliaro, Phillip Cassey and Tibor Cserháti. Their work appears in journals such as Journal of Chromatography A, Journal of Separation Science, Journal of Chromatography B, Electrophoresis and Steroids.

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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