Peter Model

94 papers receiving 7.0k citations

Peers

Peter Model
Comparison fields: 5 of 127
  • Genetics 2.8k
  • Endocrinology 487
  • Ecology 2.4k
  • Molecular Biology 5.9k
  • Molecular Medicine 194
Replace Jeffrey K. Pullen with:
Jeffrey K. Pullen United States
Barbara A. Moffatt Canada
Max E. Gottesman United States
Shôji Mizushima Japan
Heinz Schaller Germany
Noboru Sueoka United States
John W. Dubendorff United States
Robert Schleif United States
Alvin J. Clark United States
Claude J. Lazdunski France
Peter Model relative to Jeffrey K. Pullen United States Jeffrey K. Pullen's profile →
Citations per field
00.5×2×3×3.6×
Jeffrey K. Pullen · 1×
Citations per year

Countries citing papers authored by Peter Model

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Peter Model Line = papers co-authored together Peter Model links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992486
2 1997479
3 1993384
4 1975275
5 1990221
6 1986206
7 1978197
8 1984194
9 1985192
10 1984186
11 1997177
12 1991168
13 1988152
14 1974149
15 1987143
16 1986136
17 1985135
18 1988128
19 1990124
20 1994123

About Peter Model

Peter Model is a scholar working on Ecology, Genetics, Molecular Biology, Cell Biology and Radiology, Nuclear Medicine and Imaging, having authored 94 papers that have together received 7.7k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (51 papers), RNA and protein synthesis mechanisms (48 papers), Bacterial Genetics and Biotechnology (45 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), DNA Repair Mechanisms (9 papers), DNA and Nucleic Acid Chemistry (9 papers), Protein Structure and Dynamics (8 papers) and Redox biology and oxidative stress (8 papers). The work is most often cited by research in Genetics (2.8k citations), Endocrinology (487 citations), Ecology (2.4k citations), Molecular Biology (5.9k citations) and Molecular Medicine (194 citations). Peter Model has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Marjorie Russel, Olaf Schneewind, Norton D. Zinder, Lorin Weiner, Goran Jovanović, Joseph Heitman, Vincent A. Fischetti, X. William Yang, Nathaniel Heintz 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 Nature.

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.

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