Daji Luo
Impact in
- Physiology top 2%
- Reproductive biology and impacts on aquatic species
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones
Papers in
-
- CRISPR and Genetic Engineering 7
- Genetics 19
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 11
- Animal Genetics and Reproduction 11
- Co-authors
- Wei Hu (21 shared papers)Zuoyan Zhu (21 shared papers)Huijie Chen (2 shared papers)Xiang‐Dong Fu (3 shared papers)Yu Zhou (4 shared papers)Christopher H.K. Cheng (4 shared papers)Peng Tang (2 shared papers)Xuan Zhang (1 shared paper)
- Journals
- Aquaculture (4 papers)Scientific Reports (4 papers)Fish & Shellfish Immunology (3 papers)Scientific Data (3 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Daji Luo
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Physiology 184
- Reproductive Medicine 159
- Aquatic Science 128
- Genetics 323
- Immunology 237
Countries citing papers authored by Daji Luo
This map shows the geographic impact of Daji Luo'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 Daji Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daji Luo more than expected).
Fields of papers citing papers by Daji Luo
This network shows the impact of papers produced by Daji Luo. 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 Daji Luo. The network helps show where Daji Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daji Luo, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 269 | |
| 2 | 2014 | 145 | |
| 3 | 2022 | 69 | |
| 4 | 2012 | 52 | |
| 5 | 2011 | 52 | |
| 6 | 2017 | 50 | |
| 7 | 2018 | 49 | |
| 8 | 2013 | 49 | |
| 9 | 2015 | 48 | |
| 10 | 2014 | 46 | |
| 11 | 2022 | 46 | |
| 12 | 2011 | 45 | |
| 13 | 2019 | 45 | |
| 14 | 2012 | 36 | |
| 15 | 2019 | 33 | |
| 16 | 2021 | 30 | |
| 17 | 2016 | 29 | |
| 18 | 2011 | 25 | |
| 19 | 2019 | 22 | |
| 20 | 2008 | 20 |
About Daji Luo
Daji Luo is a scholar working on Molecular Biology, Genetics, Immunology, Cancer Research and Physiology, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (12 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers), Animal Genetics and Reproduction (11 papers), Reproductive biology and impacts on aquatic species (8 papers), CRISPR and Genetic Engineering (7 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (6 papers) and Aquaculture Nutrition and Growth (5 papers). The work is most often cited by research in Physiology (184 citations), Reproductive Medicine (159 citations), Aquatic Science (128 citations), Genetics (323 citations) and Immunology (237 citations). Daji Luo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wei Hu, Zuoyan Zhu, Huijie Chen, Xiang‐Dong Fu, Yu Zhou, Christopher H.K. Cheng, Peng Tang, Xuan Zhang, Rui Xiao and Hairi Li. Their work appears in journals such as Aquaculture, Scientific Reports, Fish & Shellfish Immunology, Scientific Data and PLoS ONE.
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.