Ti Wu
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
-
- RNA and protein synthesis mechanisms 6
- Bacterial biofilms and quorum sensing 2
- CRISPR and Genetic Engineering 2
- Protein Structure and Dynamics 2
- Genetics 10
- Bacterial Genetics and Biotechnology 9
- Co-authors
- Ann Stock (9 shared papers)Christopher M. Barbieri (2 shared papers)Victoria Robinson (1 shared paper)David J. Sidote (1 shared paper)Rong Gao (4 shared papers)Kevin Wu (1 shared paper)Jincheng Wu (4 shared papers)Medel Manuel L. Zulueta (1 shared paper)
- Journals
- Scientific Reports (2 papers)Journal of Bacteriology (2 papers)Genes (2 papers)Structure (1 paper)Tree Physiology (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ti Wu
18 papers receiving 421 citations
Peers
Comparison fields: 5 of 64
- Molecular Medicine 38
- Genetics 185
- Infectious Diseases 96
- Endocrinology 24
- Molecular Biology 318
Countries citing papers authored by Ti Wu
This map shows the geographic impact of Ti Wu'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 Ti Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ti Wu more than expected).
Fields of papers citing papers by Ti Wu
This network shows the impact of papers produced by Ti Wu. 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 Ti Wu. The network helps show where Ti Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ti Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 110 | |
| 2 | 2003 | 88 | |
| 3 | 2005 | 73 | |
| 4 | 2013 | 46 | |
| 5 | 2018 | 23 | |
| 6 | 2016 | 22 | |
| 7 | 2021 | 13 | |
| 8 | 2007 | 12 | |
| 9 | 2018 | 11 | |
| 10 | 2022 | 6 | |
| 11 | 2020 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2019 | 4 | |
| 14 | 2018 | 3 | |
| 15 | 2002 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Ti Wu
Ti Wu is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology and Organic Chemistry, having authored 20 papers that have together received 425 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (9 papers), RNA and protein synthesis mechanisms (6 papers), Bacteriophages and microbial interactions (3 papers), Plant Physiology and Cultivation Studies (3 papers), Aluminum toxicity and tolerance in plants and animals (2 papers), Bacterial biofilms and quorum sensing (2 papers), CRISPR and Genetic Engineering (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Molecular Medicine (38 citations), Genetics (185 citations), Infectious Diseases (96 citations), Endocrinology (24 citations) and Molecular Biology (318 citations). Ti Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ann Stock, Christopher M. Barbieri, Victoria Robinson, David J. Sidote, Rong Gao, Kevin Wu, Jincheng Wu, Medel Manuel L. Zulueta, J. Guhaniyogi and Shang‐Cheng Hung. Their work appears in journals such as Scientific Reports, Journal of Bacteriology, Genes, Structure and Tree Physiology.
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.