Jonathan G. Heddle
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Structural Biology top 5%
Papers in
-
- Antibiotic Resistance in Bacteria 7
- Co-authors
- Anthony MaxwellJeremy R. H. TameSam‐Yong ParkSoumyananda ChakrabortiIchiro YamashitaKenji IwasakiLois M. WentzellTing‐Yu Lin
- Journals
- Nano Letters (4 papers)Journal of Molecular Biology (4 papers)Small (4 papers)Proceedings of the National Academy of Sciences (3 papers)Antimicrobial Agents and Chemotherapy (3 papers)
- Partner nations
- PolandJapanUnited Kingdom
In The Last Decade
Jonathan G. Heddle
82 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 110
- Molecular Medicine 226
- Structural Biology 52
- Ecology 481
- Molecular Biology 1.3k
- Endocrinology 93
Countries citing papers authored by Jonathan G. Heddle
This map shows the geographic impact of Jonathan G. Heddle'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 Jonathan G. Heddle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan G. Heddle more than expected).
Fields of papers citing papers by Jonathan G. Heddle
This network shows the impact of papers produced by Jonathan G. Heddle. 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 Jonathan G. Heddle. The network helps show where Jonathan G. Heddle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan G. Heddle, 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 | 3 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 33 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 27 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 37 | |
| 18 | 2020 | 31 | |
| 19 | 2013 | 31 | |
| 20 | 2008 | 10 |
About Jonathan G. Heddle
Jonathan G. Heddle is a scholar working on Structural Biology, Molecular Medicine, Ecology, Aging and Molecular Biology, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (31 papers), RNA and protein synthesis mechanisms (22 papers), Advanced biosensing and bioanalysis techniques (21 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Cancer therapeutics and mechanisms (13 papers), RNA Interference and Gene Delivery (11 papers), Bacterial Genetics and Biotechnology (8 papers) and Antibiotic Resistance in Bacteria (7 papers). The work is most often cited by research in Molecular Medicine (226 citations), Structural Biology (52 citations), Ecology (481 citations), Molecular Biology (1.3k citations) and Endocrinology (93 citations). Jonathan G. Heddle has collaborated with scholars based in Poland, Japan and United Kingdom. Frequent co-authors include Anthony Maxwell, Jeremy R. H. Tame, Sam‐Yong Park, Soumyananda Chakraborti, Ichiro Yamashita, Kenji Iwasaki, Lois M. Wentzell, Ting‐Yu Lin, Julian A. Tanner and Koji Sumitomo. Their work appears in journals such as Nano Letters, Journal of Molecular Biology, Small, Proceedings of the National Academy of Sciences and Antimicrobial Agents and Chemotherapy.
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.