Jason H. Yang
- Molecular Biology top 5%
- Molecular Medicine top 0.5%
- Genetics top 5%
- Infectious Diseases top 5%
- Pharmacology top 5%
- Co-authors
- James J. CollinsMichael A. LobritzPeter BelenkyAhmad S. KhalilDaniel J. DwyerCaroline PorterArnaud GutierrezAllison J. Lopatkin
- Topics
- Antibiotic Resistance in Bacteria (8 papers)Gut microbiota and health (4 papers)Tuberculosis Research and Epidemiology (4 papers)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Jason H. Yang
38 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 1.7k
- Molecular Medicine 935
- Genetics 546
- Infectious Diseases 412
- Pharmacology 320
Countries citing papers authored by Jason H. Yang
This map shows the geographic impact of Jason H. Yang'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 H. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason H. Yang more than expected).
Fields of papers citing papers by Jason H. Yang
This network shows the impact of papers produced by Jason H. Yang. 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 H. Yang. The network helps show where Jason H. Yang may publish in the future.
Co-authorship network of co-authors of Jason H. Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Jason H. Yang. A scholar is included among the top collaborators of Jason H. Yang 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 Jason H. Yang. Jason H. Yang 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 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 26 | |
| 8 | Clinically relevant mutations in core metabolic genes confer antibiotic resistancebreakdown → | 238 |
| 9 | 117 | |
| 10 | 18 | |
| 11 | Clinically relevant mutations in core metabolic genes confer antibiotic resistance | 3 |
| 12 | 170 | |
| 13 | 225 | |
| 14 | 4 | |
| 15 | 282 | |
| 16 | Antibiotic efficacy is linked to bacterial cellular respirationbreakdown → | 539 |
| 17 | Antibiotics induce redox-related physiological alterations as part of their lethalitybreakdown → | 695 |
| 18 | 43 | |
| 19 | 27 | |
| 20 | 7 |
About Jason H. Yang
Jason H. Yang is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 43 papers that have together received 3.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Gut microbiota and health (4 papers) and Tuberculosis Research and Epidemiology (4 papers). The work is most often cited by research in Molecular Medicine (935 citations), Endocrinology (195 citations) and Microbiology (235 citations). Jason H. Yang has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include James J. Collins, Michael A. Lobritz, Peter Belenky, Ahmad S. Khalil, Daniel J. Dwyer, Caroline Porter, Arnaud Gutierrez, Allison J. Lopatkin, Jeffrey J. Saucerman and Graham C. Walker. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.