Peter Májek
- Molecular Biology top 10%
- Protein Structure and Dynamics 5
- Genomics and Phylogenetic Studies 4
- Cell Biology top 10%
-
- Antibiotic Resistance in Bacteria 4
-
- Bacterial Identification and Susceptibility Testing 4
-
- Enzyme Structure and Function 4
-
- Cancer-related Molecular Pathways 3
-
- Dialysis and Renal Disease Management 2
-
- Mass Spectrometry Techniques and Applications 2
- Co-authors
- Ron ElberKeiryn L. BennettJacques ColingeZheng Yangİvet BaharGiulio Superti‐FurgaJohannes W. BigenzahnAlexey Stukalov
- Journals
- Proteins Structure Function and Bioinformatics (2 papers)The Journal of Cell Biology (1 paper)Nature Genetics (1 paper)
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Peter Májek
23 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 952
- Immunology 148
- Cell Biology 111
- Cancer Research 97
- Aging 11
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 8 | |
| 4 | 2021 | 23 | |
| 5 | 2021 | 3 | |
| 6 | 2019 | 91 | |
| 7 | 2019 | 16 | |
| 8 | 2018 | 57 | |
| 9 | 2017 | 16 | |
| 10 | 2017 | 15 | |
| 11 | 2017 | 31 | |
| 12 | 2016 | 21 | |
| 13 | Gene essentiality and synthetic lethality in haploid human cellsbreakdown → | 2015 | 559 |
| 14 | 2014 | 91 | |
| 15 | 2014 | 14 | |
| 16 | 2012 | 20 | |
| 17 | 2009 | 19 | |
| 18 | 2009 | 113 | |
| 19 | 2009 | 37 | |
| 20 | A double germline mutations in the APC and p53 genes. | 2000 | 9 |
About Peter Májek
Peter Májek is a scholar working on Molecular Medicine, Clinical Biochemistry, Nephrology, Molecular Biology and Immunology, having authored 24 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), Genomics and Phylogenetic Studies (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Enzyme Structure and Function (4 papers), Cancer-related Molecular Pathways (3 papers), Dialysis and Renal Disease Management (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (952 citations), Immunology (148 citations), Cell Biology (111 citations), Cancer Research (97 citations) and Aging (11 citations). Peter Májek has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Ron Elber, Keiryn L. Bennett, Jacques Colinge, Zheng Yang, İvet Bahar, Giulio Superti‐Furga, Johannes W. Bigenzahn, Alexey Stukalov, Roberto Sacco and Jan E. Carette. Their work appears in journals such as Proteins Structure Function and Bioinformatics, The Journal of Cell Biology, Nature Genetics, Scientific Reports and Journal of Allergy and Clinical Immunology.
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.