Jun Lu
Impact in
- Aquatic Science top 0.1%
- Seaweed-derived Bioactive Compounds
- Aquaculture Nutrition and Growth
- Echinoderm biology and ecology
- Nutrition and Dietetics top 0.5%
- Microbial Metabolites in Food Biotechnology
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 29
-
- Seaweed-derived Bioactive Compounds 34
- Aquaculture Nutrition and Growth 16
- Co-authors
- Nazimah Hamid (12 shared papers)Difeng Ren (28 shared papers)Bert Fraser‐Reid (13 shared papers)William Lindsey White (18 shared papers)K. N. Jayaprakash (9 shared papers)Toshio Takeuchi (11 shared papers)Weibiao Zhou (5 shared papers)Yan Li (14 shared papers)
- Journals
- Food Chemistry (13 papers)Journal of Agricultural and Food Chemistry (11 papers)Heliyon (9 papers)Biomedicines (8 papers)International Journal of Biological Macromolecules (7 papers)
- Partner nations
- ChinaNew ZealandUnited States
In The Last Decade
Jun Lu
347 papers receiving 9.9k citations
Jun Lu's Hit Papers
Peers
Comparison fields: 5 of 183
- Aquatic Science 1.8k
- Nutrition and Dietetics 1.0k
- Food Science 1.2k
- Biochemistry 323
- Biotechnology 451
Countries citing papers authored by Jun Lu
This map shows the geographic impact of Jun 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 Jun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lu more than expected).
Fields of papers citing papers by Jun Lu
This network shows the impact of papers produced by Jun 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 Jun Lu. The network helps show where Jun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 358 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 226 | |
| 2 | 2013 | 205 | |
| 3 | 2016 | 201 | |
| 4 | 2018 | 194 | |
| 5 | 2012 | 194 | |
| 6 | 2019 | 177 | |
| 7 | 2017 | 172 | |
| 8 | 2007 | 159 | |
| 9 | 2018 | 153 | |
| 10 | 2016 | 149 | |
| 11 | 2021 | 148 | |
| 12 | 2005 | 135 | |
| 13 | 2001 | 133 | |
| 14 | 1999 | 129 | |
| 15 | 2017 | 116 | |
| 16 | 2018 | 106 | |
| 17 | 2022 | 103 | |
| 18 | 2002 | 101 | |
| 19 | 2021 | 95 | |
| 20 | 2006 | 94 |
About Jun Lu
Jun Lu is a scholar working on Molecular Biology, Aquatic Science, Food Science, Nutrition and Dietetics and Oncology, having authored 358 papers that have together received 10.1k indexed citations. Recurring topics across this work include Seaweed-derived Bioactive Compounds (34 papers), Protein Hydrolysis and Bioactive Peptides (29 papers), Fermentation and Sensory Analysis (22 papers), Phytochemicals and Antioxidant Activities (16 papers), Aquaculture Nutrition and Growth (16 papers), Tea Polyphenols and Effects (13 papers), Carbohydrate Chemistry and Synthesis (12 papers) and Food composition and properties (11 papers). The work is most often cited by research in Aquatic Science (1.8k citations), Nutrition and Dietetics (1.0k citations), Food Science (1.2k citations), Biochemistry (323 citations) and Biotechnology (451 citations). Jun Lu has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Nazimah Hamid, Difeng Ren, Bert Fraser‐Reid, William Lindsey White, K. N. Jayaprakash, Toshio Takeuchi, Weibiao Zhou, Yan Li, Lindsay D. Plank and Xu Xu. Their work appears in journals such as Food Chemistry, Journal of Agricultural and Food Chemistry, Heliyon, Biomedicines and International Journal of Biological Macromolecules.
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.