Yu Wan
Impact in
- Microbiology top 10%
- Antimicrobial Peptides and Activities
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Genomics and Phylogenetic Studies 4
- Machine Learning in Bioinformatics 4
-
- Urinary Tract Infections Management 2
- Co-authors
- Tzong-Yi Lee (2 shared papers)Haijun Song (2 shared papers)Libing Zhang (2 shared papers)Jorng‐Tzong Horng (1 shared paper)Siyu Chen (1 shared paper)Chia‐Ru Chung (1 shared paper)Zhuo Wang (1 shared paper)Ting Wu (1 shared paper)
- Journals
- Microbial Genomics (3 papers)Optics Express (1 paper)Infection and Drug Resistance (1 paper)Dalton Transactions (1 paper)Technology in Cancer Research & Treatment (1 paper)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Yu Wan
37 papers receiving 352 citations
Peers
Comparison fields: 5 of 111
- Microbiology 52
- Molecular Medicine 36
- Applied Microbiology and Biotechnology 7
- Clinical Biochemistry 19
- Inorganic Chemistry 36
Countries citing papers authored by Yu Wan
This map shows the geographic impact of Yu Wan'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 Yu Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Wan more than expected).
Fields of papers citing papers by Yu Wan
This network shows the impact of papers produced by Yu Wan. 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 Yu Wan. The network helps show where Yu Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Wan, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2024 | 39 | |
| 3 | 2012 | 29 | |
| 4 | 2025 | 20 | |
| 5 | 2021 | 18 | |
| 6 | 2016 | 18 | |
| 7 | 2010 | 18 | |
| 8 | 2021 | 16 | |
| 9 | 2023 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2009 | 12 | |
| 12 | 2017 | 8 | |
| 13 | 2016 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2015 | 6 |
About Yu Wan
Yu Wan is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Clinical Biochemistry and Molecular Medicine, having authored 42 papers that have together received 360 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (6 papers), Genomics and Phylogenetic Studies (4 papers), Machine Learning in Bioinformatics (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Antibiotic Resistance in Bacteria (4 papers), Streptococcal Infections and Treatments (3 papers), Urinary Tract Infections Management (2 papers) and Neonatal and Maternal Infections (2 papers). The work is most often cited by research in Microbiology (52 citations), Molecular Medicine (36 citations), Applied Microbiology and Biotechnology (7 citations), Clinical Biochemistry (19 citations) and Inorganic Chemistry (36 citations). Yu Wan has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Tzong-Yi Lee, Haijun Song, Libing Zhang, Jorng‐Tzong Horng, Siyu Chen, Chia‐Ru Chung, Zhuo Wang, Ting Wu, Qianqian Cao and Chengli Tang. Their work appears in journals such as Microbial Genomics, Optics Express, Infection and Drug Resistance, Dalton Transactions and Technology in Cancer Research & Treatment.
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.