Man-Si Wu
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
Papers in
-
- Gut microbiota and health 4
- Hedgehog Signaling Pathway Studies 2
- Circular RNAs in diseases 2
-
- Tryptophan and brain disorders 5
- Co-authors
- Junqing Huang (6 shared papers)Jiaxu Chen (9 shared papers)Xiaojuan Li (6 shared papers)Qingyu Ma (8 shared papers)Wenzhi Hao (4 shared papers)Lijuan Deng (6 shared papers)Yuan Song (2 shared papers)Gabriel Tao (2 shared papers)
- Journals
- Food Research International (2 papers)Phytomedicine (2 papers)Biomedicine & Pharmacotherapy (2 papers)Clinical Cancer Research (1 paper)BMC Complementary Medicine and Therapies (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Man-Si Wu
17 papers receiving 815 citations
Peers
Comparison fields: 5 of 103
- Biological Psychiatry 131
- Behavioral Neuroscience 52
- Cancer Research 216
- Molecular Biology 572
- Pharmacology 46
Countries citing papers authored by Man-Si Wu
This map shows the geographic impact of Man-Si 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 Man-Si Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Man-Si Wu more than expected).
Fields of papers citing papers by Man-Si Wu
This network shows the impact of papers produced by Man-Si 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 Man-Si Wu. The network helps show where Man-Si Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Man-Si 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 | 2017 | 222 | |
| 2 | 2019 | 141 | |
| 3 | 2012 | 95 | |
| 4 | 2020 | 93 | |
| 5 | 2017 | 58 | |
| 6 | 2022 | 40 | |
| 7 | 2021 | 33 | |
| 8 | 2018 | 27 | |
| 9 | 2021 | 25 | |
| 10 | 2022 | 16 | |
| 11 | 2019 | 12 | |
| 12 | 2020 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2022 | 11 | |
| 15 | CB-5083, an inhibitor of P97, suppresses osteosarcoma growth and stem cell properties by altering protein homeostasis. | 2020 | 10 |
| 16 | 2023 | 8 | |
| 17 | 2023 | 4 |
About Man-Si Wu
Man-Si Wu is a scholar working on Molecular Biology, Biological Psychiatry, Behavioral Neuroscience, Cancer Research and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 818 indexed citations. Recurring topics across this work include Tryptophan and brain disorders (5 papers), Gut microbiota and health (4 papers), Stress Responses and Cortisol (4 papers), MicroRNA in disease regulation (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Circular RNAs in diseases (2 papers), Diet and metabolism studies (2 papers) and Dysphagia Assessment and Management (1 paper). The work is most often cited by research in Biological Psychiatry (131 citations), Behavioral Neuroscience (52 citations), Cancer Research (216 citations), Molecular Biology (572 citations) and Pharmacology (46 citations). Man-Si Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Junqing Huang, Jiaxu Chen, Xiaojuan Li, Qingyu Ma, Wenzhi Hao, Lijuan Deng, Yuan Song, Gabriel Tao, John M. Szymanski and Jiong Li. Their work appears in journals such as Food Research International, Phytomedicine, Biomedicine & Pharmacotherapy, Clinical Cancer Research and BMC Complementary Medicine and Therapies.
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.