Johnny X. Huang
- Molecular Biology top 10%
- Molecular Medicine top 1%
- Microbiology top 1%
- Organic Chemistry top 10%
- Infectious Diseases top 10%
- Co-authors
- Matthew A. CooperMark S. ButlerMark A. T. BlaskovichSoumya RamuJian LiTony VelkovAlysha G. ElliottSharon L. Bishop‐Hurley
- Topics
- Antimicrobial Peptides and Activities (11 papers)Antibiotic Resistance in Bacteria (9 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
- Journals
- Journal of the American Chemical SocietyNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Johnny X. Huang
47 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 717
- Molecular Medicine 349
- Microbiology 286
- Organic Chemistry 274
- Infectious Diseases 242
Countries citing papers authored by Johnny X. Huang
This map shows the geographic impact of Johnny X. Huang'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 Johnny X. Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johnny X. Huang more than expected).
Fields of papers citing papers by Johnny X. Huang
This network shows the impact of papers produced by Johnny X. Huang. 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 Johnny X. Huang. The network helps show where Johnny X. Huang may publish in the future.
Co-authorship network of co-authors of Johnny X. Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Johnny X. Huang. A scholar is included among the top collaborators of Johnny X. Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Johnny X. Huang. Johnny X. Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 142 | |
| 4 | 31 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 22 | |
| 8 | 84 | |
| 9 | 9 | |
| 10 | 12 | |
| 11 | 50 | |
| 12 | 41 | |
| 13 | 36 | |
| 14 | 25 | |
| 15 | 45 | |
| 16 | 33 | |
| 17 | 42 | |
| 18 | 26 | |
| 19 | 142 | |
| 20 | 89 |
About Johnny X. Huang
Johnny X. Huang is a scholar working on Molecular Medicine, Microbiology and Aging, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (11 papers), Antibiotic Resistance in Bacteria (9 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Molecular Medicine (349 citations), Microbiology (286 citations) and Applied Microbiology and Biotechnology (30 citations). Johnny X. Huang has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Matthew A. Cooper, Mark S. Butler, Mark A. T. Blaskovich, Soumya Ramu, Jian Li, Tony Velkov, Alysha G. Elliott, Sharon L. Bishop‐Hurley, Roger L. Nation and Johannes Zuegg. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.
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.