Jiangwei Yao
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Microbiology top 2%
- Antimicrobial Peptides and Activities
Papers in
-
- Antimicrobial Resistance in Staphylococcus 9
- Co-authors
- Charles O. Rock (26 shared papers)Matthew W. Frank (11 shared papers)Joshua B. Parsons (3 shared papers)Pamela Jackson (2 shared papers)Stephen W. White (3 shared papers)Suzanne Jackowski (4 shared papers)Stacey Schultz‐Cherry (3 shared papers)Jason W. Rosch (3 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)mBio (3 papers)Antimicrobial Agents and Chemotherapy (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (2 papers)BMC Microbiology (1 paper)
- Partner nations
- United StatesChileSwitzerland
In The Last Decade
Jiangwei Yao
33 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Molecular Medicine 175
- Microbiology 189
- Infectious Diseases 311
- Endocrinology 60
- Neurology 90
Countries citing papers authored by Jiangwei Yao
This map shows the geographic impact of Jiangwei Yao'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 Jiangwei Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangwei Yao more than expected).
Fields of papers citing papers by Jiangwei Yao
This network shows the impact of papers produced by Jiangwei Yao. 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 Jiangwei Yao. The network helps show where Jiangwei Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiangwei Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 162 | |
| 2 | 2012 | 141 | |
| 3 | 2017 | 116 | |
| 4 | 2015 | 101 | |
| 5 | 2016 | 86 | |
| 6 | 2020 | 74 | |
| 7 | 2017 | 57 | |
| 8 | 2019 | 49 | |
| 9 | 2016 | 42 | |
| 10 | 2014 | 41 | |
| 11 | 2013 | 41 | |
| 12 | 2020 | 41 | |
| 13 | 2015 | 40 | |
| 14 | 2015 | 37 | |
| 15 | 2016 | 32 | |
| 16 | 2019 | 31 | |
| 17 | 2016 | 27 | |
| 18 | 2020 | 26 | |
| 19 | 2015 | 23 | |
| 20 | 2019 | 22 |
About Jiangwei Yao
Jiangwei Yao is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Microbiology and Neurology, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (9 papers), Neurological diseases and metabolism (7 papers), Probiotics and Fermented Foods (7 papers), Antimicrobial agents and applications (5 papers), Antibiotic Resistance in Bacteria (5 papers), Antimicrobial Peptides and Activities (4 papers), Reproductive tract infections research (4 papers) and Pneumonia and Respiratory Infections (3 papers). The work is most often cited by research in Molecular Medicine (175 citations), Microbiology (189 citations), Infectious Diseases (311 citations), Endocrinology (60 citations) and Neurology (90 citations). Jiangwei Yao has collaborated with scholars based in United States, Chile and Switzerland. Frequent co-authors include Charles O. Rock, Matthew W. Frank, Joshua B. Parsons, Pamela Jackson, Stephen W. White, Suzanne Jackowski, Stacey Schultz‐Cherry, Jason W. Rosch, Christopher D. Radka and Chitra Subramanian. Their work appears in journals such as Journal of Biological Chemistry, mBio, Antimicrobial Agents and Chemotherapy, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and BMC Microbiology.
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.