Weibo Lu
Impact in
- Animal Science and Zoology top 10%
- Meat and Animal Product Quality
- Aquatic Science top 10%
- Aquaculture Nutrition and Growth
Papers in
-
- Metabolomics and Mass Spectrometry Studies 11
- Identification and Quantification in Food 7
- Protein Hydrolysis and Bioactive Peptides 6
-
- Aquaculture Nutrition and Growth 8
- Co-authors
- Qing Shen (29 shared papers)Yiwei Cui (15 shared papers)Honghai Wang (9 shared papers)Jing Xue (12 shared papers)Gongshuai Song (4 shared papers)Pingya Wang (7 shared papers)Qiaoling Zhao (9 shared papers)Min Zhang (2 shared papers)
- Journals
- Food Chemistry (8 papers)Journal of Agricultural and Food Chemistry (5 papers)LWT (3 papers)npj Science of Food (2 papers)Food Research International (1 paper)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Weibo Lu
30 papers receiving 298 citations
Peers
Comparison fields: 5 of 63
- Animal Science and Zoology 65
- Aquatic Science 42
- Analytical Chemistry 33
- Biochemistry 19
- Nutrition and Dietetics 47
Countries citing papers authored by Weibo Lu
This map shows the geographic impact of Weibo Lu'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 Weibo Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weibo Lu more than expected).
Fields of papers citing papers by Weibo Lu
This network shows the impact of papers produced by Weibo Lu. 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 Weibo Lu. The network helps show where Weibo Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weibo Lu, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 28 | |
| 2 | 2021 | 24 | |
| 3 | 2024 | 22 | |
| 4 | 2020 | 22 | |
| 5 | 2022 | 22 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 15 | |
| 8 | 2021 | 14 | |
| 9 | 2024 | 13 | |
| 10 | 2023 | 13 | |
| 11 | 2024 | 12 | |
| 12 | 2024 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2025 | 6 | |
| 20 | 2023 | 5 |
About Weibo Lu
Weibo Lu is a scholar working on Molecular Biology, Aquatic Science, Animal Science and Zoology, Nutrition and Dietetics and Biomedical Engineering, having authored 33 papers that have together received 299 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (11 papers), Aquaculture Nutrition and Growth (8 papers), Meat and Animal Product Quality (8 papers), Advanced Chemical Sensor Technologies (8 papers), Identification and Quantification in Food (7 papers), Protein Hydrolysis and Bioactive Peptides (6 papers), Fatty Acid Research and Health (5 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Animal Science and Zoology (65 citations), Aquatic Science (42 citations), Analytical Chemistry (33 citations), Biochemistry (19 citations) and Nutrition and Dietetics (47 citations). Weibo Lu has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Qing Shen, Yiwei Cui, Honghai Wang, Jing Xue, Gongshuai Song, Pingya Wang, Qiaoling Zhao, Min Zhang, Huicheng Yang and Jie Wang. Their work appears in journals such as Food Chemistry, Journal of Agricultural and Food Chemistry, LWT, npj Science of Food and Food Research International.
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.