Yubao Lu
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Cancer Research
- Materials Chemistry
- Genetics top 10%
- Co-authors
- Zhanjun MaXuexi WangJingjing YangIan T. FergusonZhaoyang LiuShixin WangXuewen KangYujun Song
- Topics
- Spinal Cord Injury Research (7 papers)MicroRNA in disease regulation (6 papers)Mesenchymal stem cell research (5 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Yubao Lu
30 papers receiving 999 citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 279
- Pathology and Forensic Medicine 155
- Cancer Research 144
- Materials Chemistry 129
- Genetics 113
Countries citing papers authored by Yubao Lu
This map shows the geographic impact of Yubao 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 Yubao Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yubao Lu more than expected).
Fields of papers citing papers by Yubao Lu
This network shows the impact of papers produced by Yubao 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 Yubao Lu. The network helps show where Yubao Lu may publish in the future.
Co-authorship network of co-authors of Yubao Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Yubao Lu. A scholar is included among the top collaborators of Yubao 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 Yubao Lu. Yubao 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 | 0 | |
| 2 | Global incidence and characteristics of spinal cord injury since 2000–2021: a systematic review and meta-analysisbreakdown → | 49 |
| 3 | Global, regional, and national burden of spinal cord injury from 1990 to 2021 and projections for 2050: A systematic analysis for the Global Burden of Disease 2021 studybreakdown → | 40 |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 45 | |
| 7 | 6 | |
| 8 | 20 | |
| 9 | 54 | |
| 10 | 22 | |
| 11 | 12 | |
| 12 | Diagnosis and treatment of novel coronavirus pneumonia based on the theory of traditional Chinese medicinebreakdown → | 78 |
| 13 | 74 | |
| 14 | 84 | |
| 15 | 46 | |
| 16 | 59 | |
| 17 | 37 | |
| 18 | 56 | |
| 19 | 25 | |
| 20 | Materials Science Forum | 199 |
About Yubao Lu
Yubao Lu is a scholar working on Emergency Medicine, Genetics and Cancer Research, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (7 papers), MicroRNA in disease regulation (6 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Genetics (113 citations), Cancer Research (144 citations) and Pathology and Forensic Medicine (155 citations). Yubao Lu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Zhanjun Ma, Xuexi Wang, Jingjing Yang, Ian T. Ferguson, Zhaoyang Liu, Shixin Wang, Xuewen Kang, Yujun Song, Yonggang Wang and Guohu Chen. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Molecular Psychiatry.
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.