Guoping Wu
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 9
- Immunology 16
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 7
- Co-authors
- Chan Zhong (20 shared papers)Mei Shu (20 shared papers)Ya‐Ke Li (5 shared papers)Min‐Jie Cao (8 shared papers)Robert E. Levin (3 shared papers)Huanhuan Yang (3 shared papers)Jinghua Wang (9 shared papers)Suhua Chen (6 shared papers)
- Journals
- The Journal of Immunology (8 papers)LWT (6 papers)Food Analytical Methods (6 papers)Food Chemistry (3 papers)Glycobiology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Guoping Wu
80 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 125
- Immunology 270
- Oncology 267
- Food Science 187
- Endocrinology 51
- Animal Science and Zoology 85
Countries citing papers authored by Guoping Wu
This map shows the geographic impact of Guoping 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 Guoping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoping Wu more than expected).
Fields of papers citing papers by Guoping Wu
This network shows the impact of papers produced by Guoping 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 Guoping Wu. The network helps show where Guoping Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoping 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 214 | |
| 2 | 2004 | 75 | |
| 3 | 2019 | 53 | |
| 4 | 2021 | 49 | |
| 5 | 2021 | 48 | |
| 6 | 2021 | 42 | |
| 7 | 2021 | 41 | |
| 8 | 2020 | 30 | |
| 9 | 2009 | 28 | |
| 10 | 2018 | 27 | |
| 11 | 2015 | 24 | |
| 12 | 2019 | 23 | |
| 13 | 2008 | 22 | |
| 14 | 2019 | 22 | |
| 15 | 2023 | 19 | |
| 16 | 2021 | 19 | |
| 17 | 2014 | 19 | |
| 18 | 2022 | 19 | |
| 19 | 2020 | 17 | |
| 20 | 2021 | 16 |
About Guoping Wu
Guoping Wu is a scholar working on Molecular Biology, Immunology, Food Science, Biomedical Engineering and Ecology, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (12 papers), Bacteriophages and microbial interactions (11 papers), Protein Hydrolysis and Bioactive Peptides (9 papers), Salmonella and Campylobacter epidemiology (8 papers), T-cell and B-cell Immunology (8 papers), Viral gastroenteritis research and epidemiology (7 papers), Immune Cell Function and Interaction (7 papers) and Forensic Toxicology and Drug Analysis (5 papers). The work is most often cited by research in Immunology (270 citations), Oncology (267 citations), Food Science (187 citations), Endocrinology (51 citations) and Animal Science and Zoology (85 citations). Guoping Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chan Zhong, Mei Shu, Ya‐Ke Li, Min‐Jie Cao, Robert E. Levin, Huanhuan Yang, Jinghua Wang, Suhua Chen, Wen‐Jin Su and Xiangchun Shen. Their work appears in journals such as The Journal of Immunology, LWT, Food Analytical Methods, Food Chemistry and Glycobiology.
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.