Huimin Lu
About
In The Last Decade
Huimin Lu
7 papers receiving 288 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 175
- Cancer Research 88
- Genetics 54
- Immunology 48
- Pharmacology 37
Countries citing papers authored by Huimin Lu
This map shows the geographic impact of Huimin 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 Huimin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huimin Lu more than expected).
Fields of papers citing papers by Huimin Lu
This network shows the impact of papers produced by Huimin 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 Huimin Lu. The network helps show where Huimin Lu may publish in the future.
Co-authorship network of co-authors of Huimin Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Huimin Lu. A scholar is included among the top collaborators of Huimin Lu 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 Huimin Lu. Huimin Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 15 | |
| 3 | 61 | |
| 4 | 74 | |
| 5 | 105 | |
| 6 | 9 | |
| 7 | [Inhibition of tumour cells with hepatitis B virus x (HBx) gene adenoviral vector in vivo]. | 1 |
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.