Peter Markiewicz
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
-
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- DNA and Nucleic Acid Chemistry
- Genomics and Phylogenetic Studies
- CRISPR and Genetic Engineering
Papers in
-
- RNA and protein synthesis mechanisms 5
- Glycosylation and Glycoproteins Research 3
- Cancer therapeutics and mechanisms 1
- Genetics 6
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Lynn G. Kleina (2 shared papers)Jeffrey H Miller (5 shared papers)Lucia B. Rothman‐Denes (4 shared papers)Brigitte Kisters–Woike (1 shared paper)Benno Müller‐Hill (1 shared paper)Xing Dai (1 shared paper)Karl O. Stetter (1 shared paper)John W. Chase (1 shared paper)
- Journals
- Journal of Molecular Biology (3 papers)Cell (2 papers)Nucleic Acids Research (2 papers)Gene (1 paper)Genes & Development (1 paper)
- Partner nations
- United StatesGermanyHungary
In The Last Decade
Peter Markiewicz
12 papers receiving 753 citations
Peers
Comparison fields: 5 of 72
- Genetics 301
- Molecular Biology 661
- Biotechnology 63
- Ecology 114
- Materials Chemistry 114
Countries citing papers authored by Peter Markiewicz
This map shows the geographic impact of Peter Markiewicz'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 Markiewicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Markiewicz more than expected).
Fields of papers citing papers by Peter Markiewicz
This network shows the impact of papers produced by Peter Markiewicz. 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 Markiewicz. The network helps show where Peter Markiewicz may publish in the future.
Co-authors
The 19 scholars most cited alongside Peter Markiewicz, 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 | 1994 | 239 | |
| 2 | 1996 | 189 | |
| 3 | 1992 | 72 | |
| 4 | 1996 | 64 | |
| 5 | 1994 | 50 | |
| 6 | 1997 | 47 | |
| 7 | 1993 | 38 | |
| 8 | 1992 | 32 | |
| 9 | 1994 | 20 | |
| 10 | 1996 | 14 | |
| 11 | Computer software for molecular biology. | 1991 | 3 |
| 12 | 1988 | 2 |
About Peter Markiewicz
Peter Markiewicz is a scholar working on Molecular Biology, Genetics, Ecology, Materials Chemistry and Plant Science, having authored 12 papers that have together received 770 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Enzyme Structure and Function (5 papers), Bacteriophages and microbial interactions (5 papers), RNA and protein synthesis mechanisms (5 papers), Glycosylation and Glycoproteins Research (3 papers), Advanced Proteomics Techniques and Applications (1 paper), Cancer therapeutics and mechanisms (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Genetics (301 citations), Molecular Biology (661 citations), Biotechnology (63 citations), Ecology (114 citations) and Materials Chemistry (114 citations). Peter Markiewicz has collaborated with scholars based in United States, Germany and Hungary. Frequent co-authors include Lynn G. Kleina, Jeffrey H Miller, Lucia B. Rothman‐Denes, Brigitte Kisters–Woike, Benno Müller‐Hill, Xing Dai, Karl O. Stetter, John W. Chase, Clark F. Schierle and Michele A. Kercher. Their work appears in journals such as Journal of Molecular Biology, Cell, Nucleic Acids Research, Gene and Genes & Development.
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.