Ni Wu
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Gut microbiota and health 5
-
- Hepatitis B Virus Studies 6
- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Jianhua Yin (4 shared papers)Hongyang Wang (4 shared papers)Guangwen Cao (4 shared papers)Jiaxin Xie (3 shared papers)Hongwei Zhang (3 shared papers)Haiguang Xin (4 shared papers)Xiaohui Miao (2 shared papers)Zhiqin Wu (2 shared papers)
- Journals
- European Journal of Clinical Pharmacology (2 papers)Journal of Affective Disorders (2 papers)The Science of The Total Environment (2 papers)Neuroscience & Biobehavioral Reviews (1 paper)Food Chemistry X (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Ni Wu
58 papers receiving 846 citations
Peers
Comparison fields: 5 of 130
- Hepatology 209
- Applied Microbiology and Biotechnology 25
- Epidemiology 292
- Critical Care and Intensive Care Medicine 42
- Biological Psychiatry 17
Countries citing papers authored by Ni Wu
This map shows the geographic impact of Ni 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 Ni Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ni Wu more than expected).
Fields of papers citing papers by Ni Wu
This network shows the impact of papers produced by Ni 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 Ni Wu. The network helps show where Ni Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ni 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
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 114 | |
| 2 | 2011 | 76 | |
| 3 | 2009 | 62 | |
| 4 | 2014 | 54 | |
| 5 | 2010 | 52 | |
| 6 | 2018 | 46 | |
| 7 | 2010 | 39 | |
| 8 | 2014 | 37 | |
| 9 | 2010 | 32 | |
| 10 | 2016 | 22 | |
| 11 | 2022 | 22 | |
| 12 | 2015 | 21 | |
| 13 | 2023 | 18 | |
| 14 | 2014 | 18 | |
| 15 | 2005 | 18 | |
| 16 | 2022 | 16 | |
| 17 | [Study on the reliability of CardioChek PA for measuring lipid profile]. | 2016 | 16 |
| 18 | 2023 | 15 | |
| 19 | 2020 | 15 | |
| 20 | 2023 | 14 |
About Ni Wu
Ni Wu is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Hepatology and Surgery, having authored 64 papers that have together received 862 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), Marine Toxins and Detection Methods (5 papers), Maternal Mental Health During Pregnancy and Postpartum (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Hepatitis C virus research (5 papers), Gut microbiota and health (5 papers), Air Quality and Health Impacts (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Hepatology (209 citations), Applied Microbiology and Biotechnology (25 citations), Epidemiology (292 citations), Critical Care and Intensive Care Medicine (42 citations) and Biological Psychiatry (17 citations). Ni Wu has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Jianhua Yin, Hongyang Wang, Guangwen Cao, Jiaxin Xie, Hongwei Zhang, Haiguang Xin, Xiaohui Miao, Zhiqin Wu, Beibei Zhang and Lei Wang. Their work appears in journals such as European Journal of Clinical Pharmacology, Journal of Affective Disorders, The Science of The Total Environment, Neuroscience & Biobehavioral Reviews and Food Chemistry X.
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.