Miklós Cserző
- Molecular Biology top 10%
- Protein Structure and Dynamics 8
- RNA and protein synthesis mechanisms 7
- Machine Learning in Bioinformatics 6
- Genomics and Phylogenetic Studies 5
- Receptor Mechanisms and Signaling 4
- Condensed Matter Physics top 10%
- Theoretical and Computational Physics 2
- Microbiology top 10%
- Genetics top 10%
- Endocrinology top 10%
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- Enzyme Structure and Function 4
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- Bacteriophages and microbial interactions 2
- Co-authors
- István SimonGunnar von HeijneArne ElofssonErik Jakob WallinTamás VicsekViktor HorváthBirgit EisenhaberFrank Eisenhaber
- Journals
- International Journal of Molecular Sciences (3 papers)Protein Engineering Design and Selection (3 papers)Molecular Genetics and Genomics (1 paper)
- Partner nations
- HungaryItalyUnited States
In The Last Decade
Miklós Cserző
25 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 1.1k
- Condensed Matter Physics 122
- Microbiology 51
- Genetics 225
- Endocrinology 39
Countries citing papers authored by Miklós Cserző
This map shows the geographic impact of Miklós Cserző'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 Miklós Cserző with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miklós Cserző more than expected).
Fields of papers citing papers by Miklós Cserző
This network shows the impact of papers produced by Miklós Cserző. 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 Miklós Cserző. The network helps show where Miklós Cserző may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Miklós Cserző, 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 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 14 | |
| 4 | 2021 | 1 | |
| 5 | 2011 | 1 | |
| 6 | 2010 | 7 | |
| 7 | 2009 | 27 | |
| 8 | 2003 | 81 | |
| 9 | 2002 | 118 | |
| 10 | 2001 | 29 | |
| 11 | Prediction of transmembrane alpha-helices in prokaryotic membrane proteins: the dense alignment surface methodbreakdown → | 1997 | 902 |
| 12 | 1994 | 43 | |
| 13 | 1993 | 18 | |
| 14 | 1993 | 16 | |
| 15 | Improved detection of homology in distantly related proteins: similarity of adducin with actin-binding proteins. | 1992 | 6 |
| 16 | 1992 | 55 | |
| 17 | 1991 | 4 | |
| 18 | 1990 | 31 | |
| 19 | 1989 | 26 | |
| 20 | 1986 | 25 |
About Miklós Cserző
Miklós Cserző is a scholar working on Molecular Biology, Spectroscopy and Condensed Matter Physics, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), RNA and protein synthesis mechanisms (7 papers), Machine Learning in Bioinformatics (6 papers), Genomics and Phylogenetic Studies (5 papers), Receptor Mechanisms and Signaling (4 papers), Enzyme Structure and Function (4 papers), Bacteriophages and microbial interactions (2 papers) and Theoretical and Computational Physics (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Condensed Matter Physics (122 citations) and Microbiology (51 citations). Miklós Cserző has collaborated with scholars based in Hungary, Italy and United States. Frequent co-authors include István Simon, Gunnar von Heijne, Arne Elofsson, Erik Jakob Wallin, Tamás Vicsek, Viktor Horváth, Birgit Eisenhaber, Frank Eisenhaber, László Hunyady and László Szidonya. Their work appears in journals such as International Journal of Molecular Sciences, Protein Engineering Design and Selection, Molecular Genetics and Genomics, FEBS Letters and Bioinformatics.
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.