Ján Mucha

1.9k citations
67 papers · 1.6k · h-index 24

Impact in

    • Transgenic Plants and Applications
    • Enzyme Production and Characterization
    • Polysaccharides and Plant Cell Walls
    • Legume Nitrogen Fixing Symbiosis
    • Plant nutrient uptake and metabolism
    • Plant Stress Responses and Tolerance

Papers in

Ján Mucha

66 papers receiving 1.6k citations

Peers

Ján Mucha
Comparison fields: 5 of 115
  • Biotechnology 289
  • Plant Science 544
  • Molecular Biology 797
  • Organic Chemistry 256
  • Immunology 169
Replace Martial Sevéno with:
Martial Sevéno France
Jeffrey J. Clare United Kingdom
Mi‐Ryoung Song South Korea
James Stewart United Kingdom
Carol A. Scorer United Kingdom
Nancy R. Morin United States
Michael A. Romanos United Kingdom
Detlef Wolf Germany
Mark L. Borowsky United States
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Citations per field
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Citations per year

Countries citing papers authored by Ján Mucha

Since Specialization
Citations

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

Fields of papers citing papers by Ján Mucha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001108
2 2001101
3 200099
4 199995
5 200283
6 200282
7 200174
8 199970
9 200556
10 199951
11 199850
12 199041
13 199939
14 201837
15 201336
16 201833
17 200933
18 201630
19 201126
20 200325

About Ján Mucha

Ján Mucha is a scholar working on Molecular Biology, Organic Chemistry, Physiology, Biotechnology and Plant Science, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (23 papers), Carbohydrate Chemistry and Synthesis (14 papers), Writing and Handwriting Education (9 papers), Polysaccharides and Plant Cell Walls (9 papers), Enzyme Production and Characterization (9 papers), Voice and Speech Disorders (8 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Reading and Literacy Development (6 papers). The work is most often cited by research in Biotechnology (289 citations), Plant Science (544 citations), Molecular Biology (797 citations), Organic Chemistry (256 citations) and Immunology (169 citations). Ján Mucha has collaborated with scholars based in Czechia, Austria and Slovakia. Frequent co-authors include Lukas Mach, Josef Glössl, Thomas Peterbauer, Andreas Richter, Friedrich Altmann, Richard Strasser, Christelle Breton, Herta Steinkellner, Iain B. H. Wilson and C. Jeanneau. Their work appears in journals such as Glycobiology, Parkinsonism & Related Disorders, Biochemical Journal, Cognitive Computation and IEEE Access.

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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