John Pace

2.2k citations
30 papers · 1.7k · h-index 19

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 8
    • Antifungal resistance and susceptibility 3
    • Antibiotics Pharmacokinetics and Efficacy 5

John Pace

30 papers receiving 1.6k citations

Peers

John Pace
Comparison fields: 5 of 102
  • Endocrinology 382
  • Molecular Medicine 289
  • Infectious Diseases 584
  • Microbiology 167
  • Food Science 369
Replace Koichi Tanimoto with:
Koichi Tanimoto Japan
Tína Guina United States
Walter H. Traub Germany
Mark C. Sulavik United States
Adriana Renzoni Switzerland
Sarah E. Rowe United States
Eilidh Mowat United Kingdom
Veronica N. Kos United States
Cristina Seral Spain
Edward Geisinger United States
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Citations per field
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Citations per year

Countries citing papers authored by John Pace

Since Specialization
Citations

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

Fields of papers citing papers by John Pace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993227
2 1992179
3 1992166
4 2016153
5 2004127
6 2004115
7 200391
8 200678
9 200365
10 200562
11 200355
12 201550
13 200341
14 200837
15 200836
16 199235
17 199832
18 201429
19 201223
20 199116

About John Pace

John Pace is a scholar working on Infectious Diseases, Pharmacology, Molecular Medicine, Endocrinology and Molecular Biology, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (8 papers), Antibiotic Resistance in Bacteria (7 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Salmonella and Campylobacter epidemiology (5 papers), Escherichia coli research studies (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Antifungal resistance and susceptibility (3 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Endocrinology (382 citations), Molecular Medicine (289 citations), Infectious Diseases (584 citations), Microbiology (167 citations) and Food Science (369 citations). John Pace has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Jorge E. Galán, Michael J. Hayman, J. Kevin Judice, J E Galán, Christine C. Ginocchio, Guang Yang, Dmitri Debabov, Kevin M. Krause, Koné Kaniga and Matthew B. Nodwell. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Journal of Antibiotics, Journal of Food Science, Vaccine and Bioorganic & Medicinal Chemistry Letters.

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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