Guoping Wu
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
- Food Science 13
- Salmonella and Campylobacter epidemiology 8
- Co-authors
- Chan Zhong (20 shared papers)Mei Shu (20 shared papers)Ya‐Ke Li (5 shared papers)Min‐Jie Cao (7 shared papers)Robert E. Levin (3 shared papers)Huanhuan Yang (3 shared papers)Xiang-Chun Shen (8 shared papers)Wen‐Jin Su (6 shared papers)
- Journals
- Food Analytical Methods (6 papers)LWT (6 papers)Food Chemistry (3 papers)Food Control (2 papers)International Journal of Food Science & Technology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Guoping Wu
70 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Immunology 264
- Oncology 265
- Endocrinology 54
- Food Science 192
- 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 230 | |
| 2 | 2004 | 82 | |
| 3 | 2019 | 54 | |
| 4 | 2021 | 53 | |
| 5 | 2021 | 51 | |
| 6 | 2021 | 45 | |
| 7 | 2021 | 43 | |
| 8 | 2020 | 31 | |
| 9 | 2018 | 28 | |
| 10 | 2009 | 28 | |
| 11 | 2015 | 26 | |
| 12 | 2019 | 24 | |
| 13 | 2019 | 23 | |
| 14 | 2008 | 22 | |
| 15 | 2014 | 21 | |
| 16 | 2024 | 21 | |
| 17 | 2020 | 20 | |
| 18 | 2021 | 20 | |
| 19 | 2023 | 20 | |
| 20 | 2023 | 19 |
About Guoping Wu
Guoping Wu is a scholar working on Food Science, Endocrinology, Molecular Biology, Toxicology and Ecology, having authored 71 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), Viral gastroenteritis research and epidemiology (7 papers), Forensic Toxicology and Drug Analysis (5 papers), Listeria monocytogenes in Food Safety (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Immunology (264 citations), Oncology (265 citations), Endocrinology (54 citations), Food Science (192 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, Xiang-Chun Shen, Wen‐Jin Su, Chen Hu and Ravinder Singh. Their work appears in journals such as Food Analytical Methods, LWT, Food Chemistry, Food Control and International Journal of Food Science & Technology.
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.