P.G. Leiman

71 papers receiving 5.7k citations

Hit Papers

PAAR-repeat proteins sharpen and diversify the type VI secretion system spike 2013 · 407 citations
4072009202620142020100200300400500

Peers

P.G. Leiman
Comparison fields: 5 of 110
  • Endocrinology 1.5k
  • Ecology 3.9k
  • Structural Biology 192
  • Molecular Medicine 532
  • Microbiology 394
Replace Mikhail M. Shneider with:
Mikhail M. Shneider Russia
David J. Sherratt United Kingdom
Sherwood Casjens United States
Vadim V. Mesyanzhinov Russia
Roger W. Hendrix United States
Joen Luirink Netherlands
Kelly T. Hughes United States
Marek Basler Switzerland
Rémi Fronzes France
Mark J. van Raaij Spain
P.G. Leiman relative to Mikhail M. Shneider Russia Mikhail M. Shneider's profile →
Citations per field
00.5×4.4×
Mikhail M. Shneider · 1×
Citations per year

Countries citing papers authored by P.G. Leiman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

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 →
2009501
2 2000443
3
PAAR-repeat proteins sharpen and diversify the type VI secretion system spike
Hit paper breakdown →
2013407
4 2002317
5 2004240
6 2004219
7 2016212
8 2003203
9 2010193
10 2005179
11 2011168
12 2005149
13 2003139
14 2004129
15 2015126
16 2009123
17 2007114
18 2019100
19 2018100
20 201298

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.

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