Zsófia E. Kálmán
Impact in
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- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
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- Advanced Proteomics Techniques and Applications
Papers in
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- Protein Structure and Dynamics 9
- Bioinformatics and Genomic Networks 2
- Genomics and Chromatin Dynamics 1
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- László Dobson (4 shared papers)Zoltán Gáspári (5 shared papers)Bálint Mészáros (2 shared papers)Sylvie Ricard‐Blum (1 shared paper)András Zeke (1 shared paper)Gábor Tusnády (2 shared papers)Toby J. Gibson (1 shared paper)Erzsébet Fichó (1 shared paper)
In The Last Decade
Zsófia E. Kálmán
11 papers receiving 320 citations
Peers
Comparison fields: 5 of 51
- Molecular Biology 263
- Spectroscopy 11
- Genetics 20
- Aging 1
- Computational Theory and Mathematics 10
Countries citing papers authored by Zsófia E. Kálmán
This map shows the geographic impact of Zsófia E. Kálmán'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 Zsófia E. Kálmán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zsófia E. Kálmán more than expected).
Fields of papers citing papers by Zsófia E. Kálmán
This network shows the impact of papers produced by Zsófia E. Kálmán. 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 Zsófia E. Kálmán. The network helps show where Zsófia E. Kálmán may publish in the future.
Co-authors
The 19 scholars most cited alongside Zsófia E. Kálmán, 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 | 2021 | 128 | |
| 2 | 2023 | 84 | |
| 3 | 2023 | 83 | |
| 4 | 2020 | 5 | |
| 5 | 2022 | 5 | |
| 6 | 2023 | 4 | |
| 7 | 2024 | 4 | |
| 8 | 2025 | 4 | |
| 9 | A Taigetosztól az esélyegyenlőségig | 2020 | 2 |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 0 |
About Zsófia E. Kálmán
Zsófia E. Kálmán is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Safety Research, Computational Theory and Mathematics and Genetics, having authored 12 papers that have together received 321 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Neuroscience and Neuropharmacology Research (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Rare Diseases (1 paper), Disability Rights and Representation (1 paper), Genomics and Chromatin Dynamics (1 paper), Research on Leishmaniasis Studies (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Molecular Biology (263 citations), Spectroscopy (11 citations), Genetics (20 citations), Aging (1 citation) and Computational Theory and Mathematics (10 citations). Zsófia E. Kálmán has collaborated with scholars based in Hungary, Germany and Italy. Frequent co-authors include László Dobson, Zoltán Gáspári, Bálint Mészáros, Sylvie Ricard‐Blum, András Zeke, Gábor Tusnády, Toby J. Gibson, Erzsébet Fichó, Rita Pancsa and Helena Tossavainen. Their work appears in journals such as Nucleic Acids Research, Database, Scientific Reports, Proteins Structure Function and Bioinformatics and FEBS Journal.
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.