K. G. Johnson

902 citations
28 papers · 750 · h-index 13

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 6
    • Genomics and Phylogenetic Studies 3
    • Protist diversity and phylogeny 3
    • Carbohydrate Chemistry and Synthesis 7

K. G. Johnson

27 papers receiving 655 citations

Peers

K. G. Johnson
Comparison fields: 5 of 99
  • Microbiology 158
  • Endocrinology 99
  • Microbiology 8
  • Immunology 186
  • Biotechnology 64
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Charles Panos United States
Morris Solotorovsky United States
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Teruaki Shiroza Japan
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Nikolay A. Paramonov Russia
A K Bhattacharjee United States
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Citations per field
00.5×
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Citations per year

Countries citing papers authored by K. G. Johnson

Since Specialization
Citations

This map shows the geographic impact of K. G. 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. G. 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. G. Johnson more than expected).

Fields of papers citing papers by K. G. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976324
2
TCR signaling thresholds regulating T cell development and activation are dependent upon SHP-1.
199977
3 197549
4 196734
5 197533
6 197532
7 198627
8 197422
9 197216
10 197615
11 197815
12 197514
13 197412
14 197712
15 197612
16 197812
17 19779
18 19757
19 19747
20 19786

About K. G. Johnson

K. G. Johnson is a scholar working on Molecular Biology, Organic Chemistry, Biotechnology, Microbiology and Epidemiology, having authored 28 papers that have together received 750 indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (7 papers), Glycosylation and Glycoproteins Research (6 papers), Enzyme Production and Characterization (5 papers), Genomics and Phylogenetic Studies (3 papers), Protist diversity and phylogeny (3 papers), Bacterial Infections and Vaccines (3 papers), Microbial Metabolites in Food Biotechnology (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Microbiology (158 citations), Endocrinology (99 citations), Microbiology (8 citations), Immunology (186 citations) and Biotechnology (64 citations). K. G. Johnson has collaborated with scholars based in Canada, Brazil and United Kingdom. Frequent co-authors include Malcolm B. Perry, I. McDonald, R. R. B. Russell, R. James Matthews, Leszek K. Borysiewicz, Colin R. MacKenzie, Patricia Lanthier, M. B. Gochnauer, S Kawamoto and Robert J. Keehn. Their work appears in journals such as Canadian Journal of Microbiology, Archives of Microbiology, American Journal of Public Health, Journal of Bacteriology and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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