Keith Bradnam

5.2k citations
11 papers · 2.6k indexed · 1 hit paper · h-index 10

Impact in

    • Chromosomal and Genetic Variations
    • Plant Disease Resistance and Genetics
    • Plant Virus Research Studies
    • Mycorrhizal Fungi and Plant Interactions

Papers in

    • RNA and protein synthesis mechanisms 4
    • Genomics and Phylogenetic Studies 3
    • RNA Research and Splicing 2
    • RNA modifications and cancer 1
    • Machine Learning in Bioinformatics 1

Keith Bradnam

11 papers receiving 2.6k citations

Hit Papers

CEGMA: a pipeline to accurately annotate core genes in eukaryotic genomes 2007 · 1.5k citations
1.5k200720262013201950010001.5k

Peers

Keith Bradnam
Comparison fields: 5 of 102
  • Plant Science 1.2k
  • Horticulture 23
  • Molecular Biology 1.6k
  • Aging 35
  • Genetics 518
Replace Weidong Bao with:
Weidong Bao United States
Jullien M. Flynn United States
Guy Slater United Kingdom
Jeb Rosen United States
Carson Holt United States
Eric Ross United States
Sofia Robb United States
Clément Goubert United States
Mathieu Seppey Switzerland
Stephen Rudd Finland
Keith Bradnam relative to Weidong Bao United States Weidong Bao's profile →
Citations per field
00.5×3.5×
Weidong Bao · 1×
Citations per year

Countries citing papers authored by Keith Bradnam

Since Specialization
Citations

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

Fields of papers citing papers by Keith Bradnam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201595
2 2013348
3 20126
4 201125
5 201136
6 2011123
7 2008101
8 2008296
9
CEGMA: a pipeline to accurately annotate core genes in eukaryotic genomes
Hit paper breakdown →
20071539
10 200416
11 199941

About Keith Bradnam

Keith Bradnam is a scholar working on Aging, Molecular Biology, Plant Science, Genetics and Ecology, having authored 11 papers that have together received 2.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Chromosomal and Genetic Variations (3 papers), Genomics and Phylogenetic Studies (3 papers), RNA Research and Splicing (2 papers), Plant Disease Resistance and Genetics (1 paper), RNA modifications and cancer (1 paper), Machine Learning in Bioinformatics (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Plant Science (1.2k citations), Horticulture (23 citations), Molecular Biology (1.6k citations), Aging (35 citations) and Genetics (518 citations). Keith Bradnam has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Ian Korf, Genı́s Parra, Thomas Keane, Zemin Ning, Alan B. Rose, Wan Chan, John Eid, Michael R. May, Jeffrey Ross‐Ibarra and Timothy P. L. Smith. Their work appears in journals such as Nucleic Acids Research, Molecular Biology and Evolution, Bioinformatics, Genome biology and eLife.

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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