LuAnn Scott

981 citations
17 papers · 724 · h-index 13

Impact in

  • Genetics top 5%
    • Evolution and Genetic Dynamics
    • Genetic diversity and population structure
    • Chromosomal and Genetic Variations
    • Plant Virus Research Studies

Papers in

    • Chromosomal and Genetic Variations 10
    • Plant Virus Research Studies 8
    • Genomics and Phylogenetic Studies 5
    • CRISPR and Genetic Engineering 5
    • RNA and protein synthesis mechanisms 2

LuAnn Scott

17 papers receiving 717 citations

Peers

LuAnn Scott
Comparison fields: 5 of 55
  • Genetics 357
  • Plant Science 361
  • Molecular Biology 419
  • Ecology 114
  • Endocrinology 21
Replace Jonathan D. Giebel with:
Jonathan D. Giebel United States
S. Brian Caudle United States
Brian Golding Canada
Matthew Hartfield United Kingdom
John M. Braverman United States
Madoka Nakai Japan
Wolfgang J. Miller Austria
Claire L. Webster United Kingdom
Michel A Slotman United States
Sebastian Matuszewski Switzerland
LuAnn Scott relative to Jonathan D. Giebel United States Jonathan D. Giebel's profile →
Citations per field
00.5×1.5×2.4×
Jonathan D. Giebel · 1×
Citations per year

Countries citing papers authored by LuAnn Scott

Since Specialization
Citations

This map shows the geographic impact of LuAnn Scott'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 LuAnn Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LuAnn Scott more than expected).

Fields of papers citing papers by LuAnn Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by LuAnn Scott. 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 LuAnn Scott. The network helps show where LuAnn Scott may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1999282
2 200074
3 199667
4 200064
5 200859
6 199230
7 201124
8 200019
9 201517
10 199716
11 200615
12 202113
13 201412
14 201912
15 202010
16 20166
17 20194

About LuAnn Scott

LuAnn Scott is a scholar working on Plant Science, Molecular Biology, Ecology, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 17 papers that have together received 724 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (10 papers), Plant Virus Research Studies (8 papers), Genomics and Phylogenetic Studies (5 papers), CRISPR and Genetic Engineering (5 papers), Evolution and Genetic Dynamics (4 papers), Bacteriophages and microbial interactions (4 papers), Bat Biology and Ecology Studies (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Genetics (357 citations), Plant Science (361 citations), Molecular Biology (419 citations), Ecology (114 citations) and Endocrinology (21 citations). LuAnn Scott has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Holly A. Wichman, J. J. Bull, M. R. Badgett, Michael A. Cantrell, Clifford F. Weil, James J. Bull, Nancy A. Federspiel, Robert J. Baker, Celeste J. Brown and N. Carol Casavant. Their work appears in journals such as Genetics, BioTechniques, Mobile DNA, PeerJ and Cytogenetic and Genome Research.

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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