József Mihály
- Cell Biology top 2%
- Cellular Mechanics and Interactions 20
- Microtubule and mitosis dynamics 6
- Molecular Biology top 5%
- Developmental Biology and Gene Regulation 17
- Genomics and Chromatin Dynamics 8
- Muscle Physiology and Disorders 5
- Aging top 10%
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- Neurobiology and Insect Physiology Research 6
- Plant Science top 10%
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- Cardiomyopathy and Myosin Studies 9
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- Advanced Fluorescence Microscopy Techniques 7
- Co-authors
- Henrik GyurkovicsFrançois KarchMarek MlodzikJános GauszKirsten HagstromRita GombosPaul SchedlTamás Matusek
- Cited by
- Cell BiologyMolecular BiologyAging
- Journals
- Science (1 paper)Journal of Biological Chemistry (3 papers)Journal of Neuroscience (2 papers)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
József Mihály
48 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 89
- Cell Biology 507
- Molecular Biology 1.4k
- Aging 34
- Cellular and Molecular Neuroscience 277
- Plant Science 354
Countries citing papers authored by József Mihály
This map shows the geographic impact of József Mihály'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 József Mihály with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites József Mihály more than expected).
Fields of papers citing papers by József Mihály
This network shows the impact of papers produced by József Mihály. 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 József Mihály. The network helps show where József Mihály may publish in the future.
Co-authorship network
The 25 scholars most cited alongside József Mihály, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 9 | |
| 5 | 2020 | 17 | |
| 6 | 2020 | 2 | |
| 7 | 2019 | 28 | |
| 8 | 2019 | 1 | |
| 9 | 2018 | 19 | |
| 10 | 2018 | 74 | |
| 11 | 2017 | 10 | |
| 12 | 2016 | 51 | |
| 13 | 2015 | 19 | |
| 14 | 2012 | 54 | |
| 15 | 2011 | 8 | |
| 16 | 2011 | 35 | |
| 17 | 2008 | 38 | |
| 18 | 2001 | 145 | |
| 19 | 2001 | 54 | |
| 20 | 1998 | 107 |
About József Mihály
József Mihály is a scholar working on Structural Biology, Cell Biology and Biophysics, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (20 papers), Developmental Biology and Gene Regulation (17 papers), Cardiomyopathy and Myosin Studies (9 papers), Genomics and Chromatin Dynamics (8 papers), Advanced Fluorescence Microscopy Techniques (7 papers), Microtubule and mitosis dynamics (6 papers), Neurobiology and Insect Physiology Research (6 papers) and Muscle Physiology and Disorders (5 papers). The work is most often cited by research in Cell Biology (507 citations), Molecular Biology (1.4k citations) and Aging (34 citations). József Mihály has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Henrik Gyurkovics, François Karch, Marek Mlodzik, János Gausz, Kirsten Hagstrom, Rita Gombos, Paul Schedl, Tamás Matusek, László Sípos and Michael Boutros. Their work appears in journals such as Science, Journal of Biological Chemistry and Journal of Neuroscience.
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.