John Pace
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in ⓘ
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- Antibiotic Resistance in Bacteria 7
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- Escherichia coli research studies 5
- Co-authors
- Jorge E. Galán (3 shared papers)Michael J. Hayman (2 shared papers)J. Kevin Judice (8 shared papers)J E Galán (1 shared paper)Christine C. Ginocchio (1 shared paper)Guang Yang (1 shared paper)Kevin M. Krause (5 shared papers)Dmitri Debabov (2 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (6 papers)The Journal of Antibiotics (3 papers)Vaccine (3 papers)Journal of Food Science (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)
- Partner nations
- United StatesNetherlandsSpain
In The Last Decade
John Pace
30 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 102
- Endocrinology 392
- Molecular Medicine 307
- Infectious Diseases 618
- Microbiology 170
- Clinical Biochemistry 154
Countries citing papers authored by John Pace
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
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.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 226 | |
| 2 | 1992 | 178 | |
| 3 | 1992 | 165 | |
| 4 | 2016 | 143 | |
| 5 | 2004 | 126 | |
| 6 | 2004 | 115 | |
| 7 | 2003 | 91 | |
| 8 | 2006 | 78 | |
| 9 | 2003 | 65 | |
| 10 | 2005 | 61 | |
| 11 | 2003 | 55 | |
| 12 | 2015 | 50 | |
| 13 | 2003 | 41 | |
| 14 | 2008 | 36 | |
| 15 | 2008 | 35 | |
| 16 | 1992 | 35 | |
| 17 | 1998 | 32 | |
| 18 | 2014 | 29 | |
| 19 | 2012 | 23 | |
| 20 | 1989 | 16 |
About John Pace
John Pace is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Applied Microbiology and Biotechnology and Microbiology, 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), Salmonella and Campylobacter epidemiology (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Escherichia coli research studies (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Microbial Natural Products and Biosynthesis (3 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Endocrinology (392 citations), Molecular Medicine (307 citations), Infectious Diseases (618 citations), Microbiology (170 citations) and Clinical Biochemistry (154 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, Kevin M. Krause, Dmitri Debabov, Koné Kaniga and Matthew B. Nodwell. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Journal of Antibiotics, Vaccine, Journal of Food Science 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.