Liting Wu
Impact in
- Immunology top 10%
- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
- Complement system in diseases
- Immune Cell Function and Interaction
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 3
- Immunology 12
- Aquaculture disease management and microbiota 6
- Invertebrate Immune Response Mechanisms 3
- Co-authors
- Jianmin Ye (8 shared papers)Liangliang Mu (5 shared papers)Xiaoxue Yin (5 shared papers)Xia Bian (4 shared papers)Jing Liu (1 shared paper)Yuhong Wang (1 shared paper)Min Liang (1 shared paper)Jingwei Cai (1 shared paper)
- Journals
- Fish & Shellfish Immunology (4 papers)Frontiers in Immunology (2 papers)Aquaculture (2 papers)European Journal of Plant Pathology (2 papers)Cardiovascular Therapeutics (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Liting Wu
33 papers receiving 614 citations
Peers
Comparison fields: 5 of 79
- Immunology 257
- Cancer Research 143
- Aquatic Science 32
- Molecular Biology 280
- Endocrinology 20
Countries citing papers authored by Liting Wu
This map shows the geographic impact of Liting 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 Liting Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liting Wu more than expected).
Fields of papers citing papers by Liting Wu
This network shows the impact of papers produced by Liting 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 Liting Wu. The network helps show where Liting Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Liting 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 84 | |
| 2 | 2018 | 52 | |
| 3 | 2019 | 48 | |
| 4 | 2012 | 47 | |
| 5 | 2018 | 40 | |
| 6 | 2020 | 31 | |
| 7 | 2020 | 30 | |
| 8 | 2021 | 29 | |
| 9 | 2021 | 25 | |
| 10 | 2020 | 24 | |
| 11 | 2022 | 24 | |
| 12 | 2018 | 23 | |
| 13 | 2016 | 21 | |
| 14 | 2016 | 20 | |
| 15 | 2020 | 19 | |
| 16 | 2017 | 16 | |
| 17 | 2019 | 12 | |
| 18 | 2023 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2024 | 9 |
About Liting Wu
Liting Wu is a scholar working on Molecular Biology, Immunology, Cancer Research, Plant Science and Cardiology and Cardiovascular Medicine, having authored 39 papers that have together received 622 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Aquaculture disease management and microbiota (6 papers), MicroRNA in disease regulation (4 papers), Fungal Plant Pathogen Control (4 papers), Plant Disease Resistance and Genetics (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Circular RNAs in diseases (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). The work is most often cited by research in Immunology (257 citations), Cancer Research (143 citations), Aquatic Science (32 citations), Molecular Biology (280 citations) and Endocrinology (20 citations). Liting Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jianmin Ye, Liangliang Mu, Xiaoxue Yin, Xia Bian, Jing Liu, Yuhong Wang, Min Liang, Jingwei Cai, Bingxi Li and Yingchao Fan. Their work appears in journals such as Fish & Shellfish Immunology, Frontiers in Immunology, Aquaculture, European Journal of Plant Pathology and Cardiovascular Therapeutics.
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.