Yake Yao
Impact in
-
- Antibiotic Use and Resistance
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
- Epidemiology 17
- Fungal Infections and Studies 9
- Pneumonia and Respiratory Infections 3
-
- Antifungal resistance and susceptibility 11
- Co-authors
- Jianying Zhou (24 shared papers)Hua Zhou (26 shared papers)Yiqi Fu (6 shared papers)Yunsong Yu (10 shared papers)Qing Yang (7 shared papers)Bingquan Zhu (4 shared papers)Min Xu (2 shared papers)Qing Yang (1 shared paper)
- Journals
- Infection and Drug Resistance (7 papers)Medicine (2 papers)Infectious Diseases (2 papers)BMC Pulmonary Medicine (2 papers)Frontiers in Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yake Yao
35 papers receiving 430 citations
Peers
Comparison fields: 5 of 79
- Applied Microbiology and Biotechnology 77
- Molecular Medicine 116
- Microbiology 8
- Critical Care and Intensive Care Medicine 48
- Endocrinology 43
Countries citing papers authored by Yake Yao
This map shows the geographic impact of Yake 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 Yake Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yake Yao more than expected).
Fields of papers citing papers by Yake Yao
This network shows the impact of papers produced by Yake 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 Yake Yao. The network helps show where Yake Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yake 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 68 | |
| 2 | 2019 | 67 | |
| 3 | 2021 | 52 | |
| 4 | 2015 | 29 | |
| 5 | 2020 | 17 | |
| 6 | 2023 | 17 | |
| 7 | 2014 | 16 | |
| 8 | 2015 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2016 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2018 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2016 | 9 | |
| 15 | 2019 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2023 | 7 | |
| 20 | Clinical Features of Pulmonary Nocardiosis in Patients with Different Underlying Diseases: A Case Series Study | 2022 | 6 |
About Yake Yao
Yake Yao is a scholar working on Epidemiology, Infectious Diseases, Pulmonary and Respiratory Medicine, Molecular Biology and Molecular Medicine, having authored 38 papers that have together received 436 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (11 papers), Fungal Infections and Studies (9 papers), Antibiotic Resistance in Bacteria (6 papers), Vibrio bacteria research studies (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Nosocomial Infections in ICU (3 papers), Asthma and respiratory diseases (3 papers) and Pneumonia and Respiratory Infections (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (77 citations), Molecular Medicine (116 citations), Microbiology (8 citations), Critical Care and Intensive Care Medicine (48 citations) and Endocrinology (43 citations). Yake Yao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jianying Zhou, Hua Zhou, Yiqi Fu, Yunsong Yu, Qing Yang, Bingquan Zhu, Min Xu, Qing Yang, Yajie Fu and Haishen Kong. Their work appears in journals such as Infection and Drug Resistance, Medicine, Infectious Diseases, BMC Pulmonary Medicine and Frontiers in 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.