Nicole T. Perna

29.5k citations
60 papers · 19.9k indexed · 6 hit papers · h-index 34

Nicole T. Perna

60 papers receiving 19.5k citations

Hit Papers

progressiveMauve: Multiple Genome Alignment ...3.0k199520262005201510002.0k3.0k4.0k5.0k

Peers

Nicole T. Perna
Comparison fields: 5 of 171
  • Endocrinology 3.4k
  • Molecular Medicine 1.4k
  • Genetics 5.2k
  • Ecology 4.6k
  • Molecular Biology 11.7k
Replace Howard Ochman with:
Howard Ochman United States
Paul Keim United States
Michael McClelland United States
Eduardo P. C. Rocha France
Adam M. Phillippy United States
Bob Mau United States
Frederick R. Blattner United States
Aaron E. Darling Australia
Max A. Alekseyev United States
Jörg Vogel Germany
Nicole T. Perna relative to Howard Ochman United States Howard Ochman's profile →
Citations per field
00.5×1.5×
Howard Ochman · 1×
Citations per year

Countries citing papers authored by Nicole T. Perna

Since Specialization
Citations

This map shows the geographic impact of Nicole T. Perna'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 Nicole T. Perna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicole T. Perna more than expected).

Fields of papers citing papers by Nicole T. Perna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicole T. Perna. 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 Nicole T. Perna. The network helps show where Nicole T. Perna may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Nicole T. Perna, 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 Nicole T. Perna Line = papers co-authored together Nicole T. Perna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201412
2 201313
3 2012116
4 201154
5 201019
6
progressiveMauve: Multiple Genome Alignment with Gene Gain, Loss and Rearrangementbreakdown →
20102979
7 200916
8 200952
9 200891
10 200656
11 20042
12 200464
13 200318
14 200325
15
Extensive mosaic structure revealed by the complete genome sequence of uropathogenic Escherichia colibreakdown →
20021144
16 200288
17 200249
18 200164
19
Identification of ophiuroid post-larvae using mitochondrial DNA
19981
20 199686

About Nicole T. Perna

Nicole T. Perna is a scholar working on Endocrinology, Genetics and Plant Science, having authored 60 papers that have together received 19.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (17 papers), Escherichia coli research studies (15 papers), Plant Pathogenic Bacteria Studies (14 papers), Plant-Microbe Interactions and Immunity (13 papers), Bacterial Genetics and Biotechnology (11 papers), Bacteriophages and microbial interactions (8 papers), Legume Nitrogen Fixing Symbiosis (8 papers) and Viral gastroenteritis research and epidemiology (7 papers). The work is most often cited by research in Endocrinology (3.4k citations), Molecular Medicine (1.4k citations) and Genetics (5.2k citations). Nicole T. Perna has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Bob Mau, Aaron E. Darling, Frederick R. Blattner, Thomas D. Kocher, Thomas Köcher, Jeremy D. Glasner, Valerie Burland, George F. Mayhew, Guy Plunkett and Monica Riley.

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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