John H. Freer

2.8k citations
59 papers · 2.3k · h-index 25

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 13
    • Biochemical and Structural Characterization 6
    • Bacterial Infections and Vaccines 7
    • Microbial infections and disease research 7
    • Antimicrobial Peptides and Activities 7

John H. Freer

57 papers receiving 2.1k citations

Peers

John H. Freer
Comparison fields: 5 of 108
  • Microbiology 354
  • Endocrinology 292
  • Infectious Diseases 455
  • Immunology 413
  • Microbiology 15
Replace Elke Maier with:
Elke Maier Germany
Donald J. Tipper United States
Joseph E. Alouf France
J. G. Coote United Kingdom
Tone Tønjum Norway
Eric R. Vimr United States
Agnès Ullmann France
Conrad P. Quinn United States
Michel Gilbert Canada
Richard T. Okinaka United States
John H. Freer relative to Elke Maier Germany Elke Maier's profile →
Citations per field
00.5×1.5×
Elke Maier · 1×
Citations per year

Countries citing papers authored by John H. Freer

Since Specialization
Citations

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

Fields of papers citing papers by John H. Freer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John H. Freer. 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 John H. Freer. The network helps show where John H. Freer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sourcebook of bacterial protein toxins
1991455
2 1969271
3 1982140
4 1968126
5 1965110
6 196785
7 198983
8 196882
9 198168
10 198855
11 197354
12 198249
13 198246
14 197344
15 197444
16 197544
17 197242
18 196038
19 199534
20 196733

About John H. Freer

John H. Freer is a scholar working on Molecular Biology, Microbiology, Infectious Diseases, Immunology and Cell Biology, having authored 59 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (13 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Toxin Mechanisms and Immunotoxins (7 papers), Bacterial Infections and Vaccines (7 papers), Microbial infections and disease research (7 papers), Antimicrobial Peptides and Activities (7 papers), Biochemical and Structural Characterization (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Microbiology (354 citations), Endocrinology (292 citations), Infectious Diseases (455 citations), Immunology (413 citations) and Microbiology (15 citations). John H. Freer has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include J E Alouf, J. P. Arbuthnott, Alan W. Bernheimer, Grazia Sessa, Gerald Weissmann, Giuséppe Colacicco, M.R.J. Salton, Torkel Wadström, T. H. Birkbeck and R. Parton. Their work appears in journals such as Microbiology, Journal of Bacteriology, Journal of Medical Microbiology, Biochimica et Biophysica Acta (BBA) - Biomembranes and Biochemistry.

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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