Jon E. Paczkowski
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in ⓘ
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- Antibiotic Resistance in Bacteria 6
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- Vibrio bacteria research studies 3
- Co-authors
- Bonnie L. Bassler (7 shared papers)Sampriti Mukherjee (2 shared papers)Brad R. Henke (5 shared papers)J. Christopher Fromme (5 shared papers)Chari D. Smith (3 shared papers)Edze R. Westra (1 shared paper)Jenny M. Broniewski (1 shared paper)Nina Molin Høyland‐Kroghsbo (1 shared paper)
- Journals
- mBio (2 papers)Journal of Biological Chemistry (2 papers)ACS Chemical Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)PLoS Pathogens (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jon E. Paczkowski
17 papers receiving 819 citations
Peers
Comparison fields: 5 of 83
- Molecular Medicine 211
- Endocrinology 144
- Microbiology 69
- Molecular Biology 669
- Genetics 198
Countries citing papers authored by Jon E. Paczkowski
This map shows the geographic impact of Jon E. Paczkowski'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 Jon E. Paczkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon E. Paczkowski more than expected).
Fields of papers citing papers by Jon E. Paczkowski
This network shows the impact of papers produced by Jon E. Paczkowski. 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 Jon E. Paczkowski. The network helps show where Jon E. Paczkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon E. Paczkowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 225 | |
| 2 | 2017 | 203 | |
| 3 | 2018 | 68 | |
| 4 | 2015 | 56 | |
| 5 | 2021 | 38 | |
| 6 | 2019 | 36 | |
| 7 | 2012 | 32 | |
| 8 | 2020 | 28 | |
| 9 | 2019 | 27 | |
| 10 | 2022 | 27 | |
| 11 | 2014 | 24 | |
| 12 | 2022 | 22 | |
| 13 | 2023 | 21 | |
| 14 | 2023 | 11 | |
| 15 | 2016 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 1 |
About Jon E. Paczkowski
Jon E. Paczkowski is a scholar working on Molecular Medicine, Endocrinology, Genetics, Molecular Biology and Cell Biology, having authored 17 papers that have together received 826 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (12 papers), Bacterial Genetics and Biotechnology (10 papers), Antibiotic Resistance in Bacteria (6 papers), Lipid Membrane Structure and Behavior (4 papers), Cellular transport and secretion (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Vibrio bacteria research studies (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Molecular Medicine (211 citations), Endocrinology (144 citations), Microbiology (69 citations), Molecular Biology (669 citations) and Genetics (198 citations). Jon E. Paczkowski has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Bonnie L. Bassler, Sampriti Mukherjee, Brad R. Henke, J. Christopher Fromme, Chari D. Smith, Edze R. Westra, Jenny M. Broniewski, Nina Molin Høyland‐Kroghsbo, Joseph Bondy‐Denomy and Brian C. Richardson. Their work appears in journals such as mBio, Journal of Biological Chemistry, ACS Chemical Biology, Proceedings of the National Academy of Sciences and PLoS Pathogens.
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.