P.G. Leiman
Impact in
- Endocrinology top 0.2%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Ecology top 0.2%
- Bacteriophages and microbial interactions
Papers in ⓘ
- Ecology 63
- Bacteriophages and microbial interactions 63
- Co-authors
- Michael G. Rossmann (24 shared papers)Vadim V. Mesyanzhinov (20 shared papers)Mikhail M. Shneider (26 shared papers)Fumio Arisaka (12 shared papers)V.A. Kostyuchenko (13 shared papers)Paul R. Chipman (8 shared papers)Shuji Kanamaru (10 shared papers)Marek Basler (2 shared papers)
- Journals
- Journal of Molecular Biology (7 papers)Nature (6 papers)Structure (6 papers)Viruses (4 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesRussiaSwitzerland
In The Last Decade
P.G. Leiman
71 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Endocrinology 1.5k
- Ecology 3.9k
- Structural Biology 192
- Molecular Medicine 532
- Microbiology 394
Countries citing papers authored by P.G. Leiman
This map shows the geographic impact of P.G. Leiman'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 P.G. Leiman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.G. Leiman more than expected).
Fields of papers citing papers by P.G. Leiman
This network shows the impact of papers produced by P.G. Leiman. 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 P.G. Leiman. The network helps show where P.G. Leiman may publish in the future.
Co-authors
The 25 scholars most cited alongside P.G. Leiman, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Type VI secretion apparatus and phage tail-associated protein complexes share a common evolutionary origin Hit paper breakdown → | 2009 | 501 |
| 2 | 2000 | 443 | |
| 3 | PAAR-repeat proteins sharpen and diversify the type VI secretion system spike Hit paper breakdown → | 2013 | 407 |
| 4 | 2002 | 317 | |
| 5 | 2004 | 240 | |
| 6 | 2004 | 219 | |
| 7 | 2016 | 212 | |
| 8 | 2003 | 203 | |
| 9 | 2010 | 193 | |
| 10 | 2005 | 179 | |
| 11 | 2011 | 168 | |
| 12 | 2005 | 149 | |
| 13 | 2003 | 139 | |
| 14 | 2004 | 129 | |
| 15 | 2015 | 126 | |
| 16 | 2009 | 123 | |
| 17 | 2007 | 114 | |
| 18 | 2019 | 100 | |
| 19 | 2018 | 100 | |
| 20 | 2012 | 98 |
About P.G. Leiman
P.G. Leiman is a scholar working on Structural Biology, Ecology, Endocrinology, Genetics and Molecular Biology, having authored 72 papers that have together received 5.8k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (63 papers), Bacterial Genetics and Biotechnology (30 papers), RNA and protein synthesis mechanisms (30 papers), Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (12 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Genomics and Phylogenetic Studies (8 papers) and Escherichia coli research studies (7 papers). The work is most often cited by research in Endocrinology (1.5k citations), Ecology (3.9k citations), Structural Biology (192 citations), Molecular Medicine (532 citations) and Microbiology (394 citations). P.G. Leiman has collaborated with scholars based in United States, Russia and Switzerland. Frequent co-authors include Michael G. Rossmann, Vadim V. Mesyanzhinov, Mikhail M. Shneider, Fumio Arisaka, V.A. Kostyuchenko, Paul R. Chipman, Shuji Kanamaru, Marek Basler, John J. Mekalanos and S.A. Buth. Their work appears in journals such as Journal of Molecular Biology, Nature, Structure, Viruses and Proceedings of the National Academy of Sciences.
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.