K Johnson

1.4k citations
9 papers · 1000 indexed · h-index 9

Impact in

Papers in

    • Genomics and Phylogenetic Studies 3
    • Biochemical and Structural Characterization 2
    • RNA and protein synthesis mechanisms 2
    • Glycosylation and Glycoproteins Research 1
    • Machine Learning in Bioinformatics 1
    • Bacteriophages and microbial interactions 3

K Johnson

9 papers receiving 963 citations

Peers

K Johnson
Comparison fields: 5 of 73
  • Endocrinology 110
  • Food Science 291
  • Microbiology 74
  • Biotechnology 103
  • Genetics 314
Replace Calliope Capon with:
Calliope Capon France
Haruo Ikemura Japan
E. Remaut Belgium
Fred R. Frankel United States
B. Duclos France
Rong Fu Wang China
Chung Nan Chang United States
Alan Sloma United States
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K Johnson relative to Calliope Capon France Calliope Capon's profile →
Citations per field
00.5×3.2×
Calliope Capon · 1×
Citations per year

Countries citing papers authored by K Johnson

Since Specialization
Citations

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

Fields of papers citing papers by K Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside K Johnson, 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 K Johnson Line = papers co-authored together K Johnson links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 199213
2 199212
3 1991268
4 199022
5 1989324
6 198840
7 198731
8 1986188
9 1986102

About K Johnson

K Johnson is a scholar working on Molecular Biology, Ecology, Biotechnology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 1000 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (3 papers), Genomics and Phylogenetic Studies (3 papers), Biochemical and Structural Characterization (2 papers), Bacterial Genetics and Biotechnology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Endocrinology (110 citations), Food Science (291 citations), Microbiology (74 citations), Biotechnology (103 citations) and Genetics (314 citations). K Johnson has collaborated with scholars based in United States and Canada. Frequent co-authors include J Beckwith, K L Strauch, Stephen Lory, Michael E. Stiles, M. Sailer, John C. Vederas, John W. Hastings, Kenneth L. Roy, M L Parker and Henry Taylor. Their work appears in journals such as Journal of Bacteriology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Current Opinion in Biotechnology.

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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