Peter Model
Impact in
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology
- Endocrinology top 0.5%
Papers in
-
- RNA and protein synthesis mechanisms 49
- DNA Repair Mechanisms 9
- Protein Structure and Dynamics 9
- DNA and Nucleic Acid Chemistry 9
- Ecology 55
- Bacteriophages and microbial interactions 54
- Co-authors
- Marjorie Russel (29 shared papers)Olaf Schneewind (2 shared papers)Lorin Weiner (6 shared papers)Goran Jovanović (9 shared papers)Norton D. Zinder (10 shared papers)Joseph Heitman (7 shared papers)Nathaniel Heintz (1 shared paper)X. William Yang (1 shared paper)
- Journals
- Journal of Molecular Biology (23 papers)Proceedings of the National Academy of Sciences (14 papers)Journal of Bacteriology (13 papers)Cell (8 papers)Virology (5 papers)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Peter Model
100 papers receiving 7.3k citations
Peers
Comparison fields: 5 of 127
- Genetics 3.1k
- Endocrinology 536
- Ecology 2.6k
- Molecular Biology 6.2k
- Molecular Medicine 226
Countries citing papers authored by Peter Model
This map shows the geographic impact of Peter Model'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 Model with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Model more than expected).
Fields of papers citing papers by Peter Model
This network shows the impact of papers produced by Peter Model. 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 Model. The network helps show where Peter Model may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Model, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 490 | |
| 2 | 1992 | 484 | |
| 3 | 1993 | 382 | |
| 4 | 1975 | 276 | |
| 5 | 1990 | 225 | |
| 6 | 1986 | 207 | |
| 7 | 1978 | 197 | |
| 8 | 1984 | 195 | |
| 9 | 1985 | 195 | |
| 10 | 1984 | 187 | |
| 11 | 1997 | 180 | |
| 12 | 1991 | 169 | |
| 13 | 1988 | 158 | |
| 14 | 1974 | 150 | |
| 15 | 1987 | 143 | |
| 16 | 1985 | 141 | |
| 17 | 1986 | 137 | |
| 18 | 1988 | 128 | |
| 19 | 1994 | 125 | |
| 20 | 1990 | 123 |
About Peter Model
Peter Model is a scholar working on Molecular Biology, Ecology, Genetics, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 100 papers that have together received 8.1k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (54 papers), RNA and protein synthesis mechanisms (49 papers), Bacterial Genetics and Biotechnology (48 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), DNA Repair Mechanisms (9 papers), Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (9 papers) and DNA and Nucleic Acid Chemistry (9 papers). The work is most often cited by research in Genetics (3.1k citations), Endocrinology (536 citations), Ecology (2.6k citations), Molecular Biology (6.2k citations) and Molecular Medicine (226 citations). Peter Model has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Marjorie Russel, Olaf Schneewind, Lorin Weiner, Goran Jovanović, Norton D. Zinder, Joseph Heitman, Nathaniel Heintz, X. William Yang, Vincent A. Fischetti and Jef D. Boeke. Their work appears in journals such as Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Journal of Bacteriology, Cell and Virology.
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.