Ján A. Miernyk
- Molecular Biology top 5%
- Plant Science top 1%
- Biochemistry top 0.5%
- Clinical Biochemistry top 2%
- Cell Biology top 10%
- Co-authors
- Douglas D. RandallJay J. ThelenDavid T. DennisAlejandro Tovar‐MéndezRichard N. TreleaseBrian MooneyMarián HajdúchMichael H. Luethy
- Topics
- Biochemical Acid Research Studies (37 papers)Mitochondrial Function and Pathology (25 papers)Metabolism and Genetic Disorders (23 papers)
- Partner nations
- United StatesSlovakiaCanada
In The Last Decade
Ján A. Miernyk
118 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 2.3k
- Plant Science 1.5k
- Biochemistry 736
- Clinical Biochemistry 251
- Cell Biology 160
Countries citing papers authored by Ján A. Miernyk
This map shows the geographic impact of Ján A. Miernyk'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 A. Miernyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ján A. Miernyk more than expected).
Fields of papers citing papers by Ján A. Miernyk
This network shows the impact of papers produced by Ján A. Miernyk. 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 A. Miernyk. The network helps show where Ján A. Miernyk may publish in the future.
Co-authorship network of co-authors of Ján A. Miernyk
This figure shows the co-authorship network connecting the top 25 collaborators of Ján A. Miernyk. A scholar is included among the top collaborators of Ján A. Miernyk 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 Ján A. Miernyk. Ján A. Miernyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 55 | |
| 3 | 19 | |
| 4 | 57 | |
| 5 | 13 | |
| 6 | 11 | |
| 7 | 236 | |
| 8 | 12 | |
| 9 | Plant Gene Register PGR 00-027. AtJ20 (accession no. AF214107), a plastid-localized type III J-domain protein from Arabidopsis. | 2 |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 48 | |
| 13 | Cloning and Analysis of AtJ3 Gene in Arabidopsis thaliana | 8 |
| 14 | 37 | |
| 15 | 55 | |
| 16 | 23 | |
| 17 | 25 | |
| 18 | 40 | |
| 19 | 52 | |
| 20 | 19 |
About Ján A. Miernyk
Ján A. Miernyk is a scholar working on Biochemistry, Clinical Biochemistry and Molecular Biology, having authored 118 papers that have together received 3.2k indexed citations. Recurring topics across this work include Biochemical Acid Research Studies (37 papers), Mitochondrial Function and Pathology (25 papers) and Metabolism and Genetic Disorders (23 papers). The work is most often cited by research in Biochemistry (736 citations), Plant Science (1.5k citations) and Clinical Biochemistry (251 citations). Ján A. Miernyk has collaborated with scholars based in United States, Slovakia and Canada. Frequent co-authors include Douglas D. Randall, Jay J. Thelen, David T. Dennis, Alejandro Tovar‐Méndez, Richard N. Trelease, Brian Mooney, Marián Hajdúch, Michael H. Luethy, Cayle S. Lisenbee and G. Thomas Hayman. Their work appears in journals such as Journal of Biological Chemistry, Environmental Science & Technology and The Plant Cell.
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.