Peter Májek
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
Papers in
-
- Protein Structure and Dynamics 5
- Genomics and Phylogenetic Studies 4
- Oncology 4
- Cancer-related Molecular Pathways 3
- Co-authors
- Ron Elber (4 shared papers)Keiryn L. Bennett (8 shared papers)Jacques Colinge (3 shared papers)İvet Bahar (1 shared paper)Zheng Yang (1 shared paper)Giulio Superti‐Furga (3 shared papers)Johannes W. Bigenzahn (2 shared papers)Alexey Stukalov (2 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (2 papers)Journal of the American Society of Nephrology (1 paper)Journal of Clinical Microbiology (1 paper)PROTEOMICS (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- AustriaUnited StatesSwitzerland
In The Last Decade
Peter Májek
24 papers receiving 1.3k citations
Peter Májek's Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 950
- Immunology 145
- Cell Biology 111
- Cancer Research 91
- Nephrology 42
Countries citing papers authored by Peter Májek
This map shows the geographic impact of Peter Májek'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 Peter Májek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Májek more than expected).
Fields of papers citing papers by Peter Májek
This network shows the impact of papers produced by Peter Májek. 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 Peter Májek. The network helps show where Peter Májek may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Májek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gene essentiality and synthetic lethality in haploid human cells Hit paper breakdown → | 2015 | 571 |
| 2 | 2009 | 115 | |
| 3 | 2014 | 102 | |
| 4 | 2019 | 94 | |
| 5 | 2010 | 94 | |
| 6 | 2018 | 60 | |
| 7 | 2009 | 41 | |
| 8 | 2017 | 34 | |
| 9 | 2021 | 25 | |
| 10 | 2009 | 22 | |
| 11 | 2016 | 21 | |
| 12 | 2012 | 20 | |
| 13 | 2021 | 18 | |
| 14 | 2017 | 18 | |
| 15 | 2017 | 16 | |
| 16 | 2019 | 16 | |
| 17 | 2016 | 14 | |
| 18 | 2014 | 14 | |
| 19 | A double germline mutations in the APC and p53 genes. | 2000 | 9 |
| 20 | 2022 | 8 |
About Peter Májek
Peter Májek is a scholar working on Molecular Biology, Oncology, Clinical Biochemistry, Molecular Medicine and Immunology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Antibiotic Resistance in Bacteria (4 papers), Enzyme Structure and Function (4 papers), Genomics and Phylogenetic Studies (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Cancer-related Molecular Pathways (3 papers), Advanced Chemical Physics Studies (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (950 citations), Immunology (145 citations), Cell Biology (111 citations), Cancer Research (91 citations) and Nephrology (42 citations). Peter Májek has collaborated with scholars based in Austria, United States and Switzerland. Frequent co-authors include Ron Elber, Keiryn L. Bennett, Jacques Colinge, İvet Bahar, Zheng Yang, Giulio Superti‐Furga, Johannes W. Bigenzahn, Alexey Stukalov, Roberto Sacco and Lucas T. Jae. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of the American Society of Nephrology, Journal of Clinical Microbiology, PROTEOMICS and PLoS Computational Biology.
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.