Lulu Han
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 10%
- Immunology
- Epidemiology
- Neurology
- Co-authors
- Shuai ZhouDongpei YinDongdong SunWeiwei GaoFei LiYingang WuXin XuCha Han
- Topics
- Drug Transport and Resistance Mechanisms (2 papers)Pharmacogenetics and Drug Metabolism (2 papers)Diet and metabolism studies (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lulu Han
19 papers receiving 629 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 251
- Pediatrics, Perinatology and Child Health 97
- Immunology 95
- Epidemiology 91
- Neurology 77
Countries citing papers authored by Lulu Han
This map shows the geographic impact of Lulu Han'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 Lulu Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lulu Han more than expected).
Fields of papers citing papers by Lulu Han
This network shows the impact of papers produced by Lulu Han. 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 Lulu Han. The network helps show where Lulu Han may publish in the future.
Co-authorship network of co-authors of Lulu Han
This figure shows the co-authorship network connecting the top 25 collaborators of Lulu Han. A scholar is included among the top collaborators of Lulu Han based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lulu Han. Lulu Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 27 | |
| 4 | 41 | |
| 5 | 19 | |
| 6 | 65 | |
| 7 | 185 | |
| 8 | 45 | |
| 9 | 33 | |
| 10 | 42 | |
| 11 | 29 | |
| 12 | 15 | |
| 13 | [Estimation of individual biological aging and individualized evaluation of biomarkers of aging in healthy people]. | 1 |
| 14 | 6 | |
| 15 | Angiotensin-converting enzyme gene I/D genotype affected metoprolol-induced reduction in 24-hour average heart rate. | 2 |
| 16 | [Vascular ageing-related remodeling and differential expression of associated genes: experiment with rats]. | 1 |
| 17 | [Quantitative assessment of healthy People's cardiovascular aging and analysis of the relevant law: study in three cities in Northern China]. | 1 |
| 18 | 72 | |
| 19 | 41 |
About Lulu Han
Lulu Han is a scholar working on Biological Psychiatry, Pharmacology and Microbiology, having authored 19 papers that have together received 635 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Neurology (77 citations), Obstetrics and Gynecology (65 citations) and Biological Psychiatry (19 citations). Lulu Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shuai Zhou, Dongpei Yin, Dongdong Sun, Weiwei Gao, Fei Li, Yingang Wu, Xin Xu, Cha Han, Fengxia Xue and Yingmei Wang. Their work appears in journals such as Brain Research, American Journal of Preventive Medicine and Clinical Pharmacology & Therapeutics.
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.