John H. Freer

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

Impact in

Papers in

    • Antimicrobial Peptides and Activities 7
    • Microbial infections and disease research 7
    • Bacterial Infections and Vaccines 7

John H. Freer

57 papers receiving 2.1k citations

Peers

John H. Freer
Comparison fields: 5 of 108
  • Endocrinology 299
  • Microbiology 360
  • Infectious Diseases 457
  • Molecular Biology 1.4k
  • Microbiology 15
Replace Elke Maier with:
Elke Maier Germany
Donald J. Tipper United States
Joseph E. Alouf France
J. G. Coote United Kingdom
Richard T. Okinaka United States
Eric R. Vimr United States
Pierre Dehoux France
Stephan Stirm Germany
Stewart Scherer United States
Chikara Kaito Japan
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-authorship network

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
#Work
1 199535
2 19949
3 19949
4 199416
5 199314
6
Sourcebook of bacterial protein toxins
1991455
7 19913
8 199011
9 198984
10 19882
11 198855
12 19885
13 19877
14 19871
15 19865
16 19868
17 197425
18 1969271
19 19684
20 196832

About John H. Freer

John H. Freer is a scholar working on Microbiology, Microbiology, Endocrinology, Infectious Diseases and Virology, 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), Antimicrobial Peptides and Activities (7 papers), Microbial infections and disease research (7 papers), Bacterial Infections and Vaccines (7 papers), Toxin Mechanisms and Immunotoxins (7 papers), Biochemical and Structural Characterization (6 papers) and Erythrocyte Function and Pathophysiology (5 papers). The work is most often cited by research in Endocrinology (299 citations), Microbiology (360 citations), Infectious Diseases (457 citations), Molecular Biology (1.4k 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, T. H. Birkbeck, Torkel Wadström and R. Parton. Their work appears in journals such as Microbiology, Journal of Bacteriology, Journal of Medical Microbiology, Toxicon 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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