Jason J. Paxman
- Endocrinology top 5%
- Escherichia coli research studies 11
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 5
- Microbiology top 10%
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- Bacterial Genetics and Biotechnology 11
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- Protein Structure and Dynamics 3
- Biochemical and Molecular Research 3
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- Bacteriophages and microbial interactions 7
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- Enzyme Structure and Function 6
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- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Begoña HerasMark A. SchembriPramod SubediM.J. ScanlonMakrina TotsikaAndrew E. WhittenKate M. PetersMatthew A. Perugini
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (3 papers)Angewandte Chemie International Edition (1 paper)
- Partner nations
- AustraliaFranceUnited States
In The Last Decade
Jason J. Paxman
26 papers receiving 684 citations
Peers
Comparison fields: 5 of 87
- Endocrinology 152
- Molecular Medicine 84
- Microbiology 45
- Genetics 151
- Molecular Biology 337
Countries citing papers authored by Jason J. Paxman
This map shows the geographic impact of Jason J. Paxman'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 Jason J. Paxman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason J. Paxman more than expected).
Fields of papers citing papers by Jason J. Paxman
This network shows the impact of papers produced by Jason J. Paxman. 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 Jason J. Paxman. The network helps show where Jason J. Paxman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jason J. Paxman, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 24 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 11 | |
| 12 | 2019 | 17 | |
| 13 | 2019 | 21 | |
| 14 | 2019 | 27 | |
| 15 | 2018 | 32 | |
| 16 | 2018 | 6 | |
| 17 | 2017 | 1 | |
| 18 | 2017 | 28 | |
| 19 | 2016 | 29 | |
| 20 | 2009 | 62 |
About Jason J. Paxman
Jason J. Paxman is a scholar working on Endocrinology, Molecular Medicine and Genetics, having authored 30 papers that have together received 685 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (11 papers), Escherichia coli research studies (11 papers), Bacteriophages and microbial interactions (7 papers), Enzyme Structure and Function (6 papers), Antibiotic Resistance in Bacteria (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Protein Structure and Dynamics (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Endocrinology (152 citations), Molecular Medicine (84 citations) and Microbiology (45 citations). Jason J. Paxman has collaborated with scholars based in Australia, France and United States. Frequent co-authors include Begoña Heras, Mark A. Schembri, Pramod Subedi, M.J. Scanlon, Makrina Totsika, Andrew E. Whitten, Kate M. Peters, Matthew A. Perugini, Christine L. Gee and Russell Jarrott. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.