Hui Lan
Impact in
- Plant Science top 10%
- Seed Germination and Physiology
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Soybean genetics and cultivation
- Animal Science and Zoology top 10%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
Papers in
-
- CRISPR and Genetic Engineering 3
- Epigenetics and DNA Methylation 2
-
- Reproductive Biology and Fertility 2
- Co-authors
- Natalio Krasnogor (1 shared paper)Anthony J. Bonner (1 shared paper)George W. Bassel (1 shared paper)Nicholas J. Provart (1 shared paper)Michael J. Holdsworth (1 shared paper)Tanja Gerjets (1 shared paper)Enrico Glaab (1 shared paper)Daniel J. Gibbs (1 shared paper)
- Journals
- Journal of Muscle Foods (2 papers)Scientific Reports (1 paper)Genome biology (1 paper)Mitochondrion (1 paper)Transgenic Research (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hui Lan
10 papers receiving 322 citations
Peers
Comparison fields: 5 of 61
- Plant Science 172
- Animal Science and Zoology 40
- Molecular Biology 175
- Small Animals 13
- Genetics 48
Countries citing papers authored by Hui Lan
This map shows the geographic impact of Hui Lan'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 Hui Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Lan more than expected).
Fields of papers citing papers by Hui Lan
This network shows the impact of papers produced by Hui Lan. 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 Hui Lan. The network helps show where Hui Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 191 | |
| 2 | 1998 | 28 | |
| 3 | 2015 | 26 | |
| 4 | 2015 | 22 | |
| 5 | 2016 | 18 | |
| 6 | 1998 | 18 | |
| 7 | 2021 | 13 | |
| 8 | 2016 | 8 | |
| 9 | 2023 | 6 | |
| 10 | 2025 | 1 |
About Hui Lan
Hui Lan is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Plant Science and Animal Science and Zoology, having authored 10 papers that have together received 331 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Virus-based gene therapy research (2 papers), Reproductive Biology and Fertility (2 papers), Epigenetics and DNA Methylation (2 papers), Meat and Animal Product Quality (2 papers), Animal Genetics and Reproduction (2 papers), Seed Germination and Physiology (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Plant Science (172 citations), Animal Science and Zoology (40 citations), Molecular Biology (175 citations), Small Animals (13 citations) and Genetics (48 citations). Hui Lan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Natalio Krasnogor, Anthony J. Bonner, George W. Bassel, Nicholas J. Provart, Michael J. Holdsworth, Tanja Gerjets, Enrico Glaab, Daniel J. Gibbs, F. K. McKeith and M.S. BREWER. Their work appears in journals such as Journal of Muscle Foods, Scientific Reports, Genome biology, Mitochondrion and Transgenic Research.
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.