Weihua Ni
- Molecular Biology top 10%
- Immunology top 5%
- Surgery top 10%
- Plant Science top 5%
- Oncology top 10%
- Co-authors
- Shiro KitamotoAkira TakeshitaKensuke EgashiraShujiro InoueMasamichi KoyanagiMakoto UsuiChu KataokaGuixiang Tai
- Topics
- Glycosylation and Glycoproteins Research (13 papers)Immunotherapy and Immune Responses (10 papers)Polysaccharides and Plant Cell Walls (9 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Weihua Ni
70 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.2k
- Immunology 814
- Surgery 433
- Plant Science 413
- Oncology 412
Countries citing papers authored by Weihua Ni
This map shows the geographic impact of Weihua Ni'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 Weihua Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weihua Ni more than expected).
Fields of papers citing papers by Weihua Ni
This network shows the impact of papers produced by Weihua Ni. 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 Weihua Ni. The network helps show where Weihua Ni may publish in the future.
Co-authorship network of co-authors of Weihua Ni
This figure shows the co-authorship network connecting the top 25 collaborators of Weihua Ni. A scholar is included among the top collaborators of Weihua Ni 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 Weihua Ni. Weihua Ni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 43 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 74 | |
| 13 | 21 | |
| 14 | 153 | |
| 15 | 15 | |
| 16 | 28 | |
| 17 | HMG-CoA Reductase Inhibitor Limits Angiotensin II-Induced Progression and Destabilization of Established Atherosclerosis in ApoE-Knockout Mice through Its Cholesterol-Lowering Independent Actions | 2 |
| 18 | 31 | |
| 19 | Anti-Monocyte Chemoattractant Protein-1 Gene Therapy Limits Progression and Destabilization of Established Atherosclerosis in Apolipoprotein E-Knockout Mice | 1 |
| 20 | Anti-monocyte chemoattractant protein-1 gene therapy inhibits neointimal hyperplasia after balloon angioplasty in rats and monkeys | 1 |
About Weihua Ni
Weihua Ni is a scholar working on Immunology, Cancer Research and Biochemistry, having authored 71 papers that have together received 2.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Immunotherapy and Immune Responses (10 papers) and Polysaccharides and Plant Cell Walls (9 papers). The work is most often cited by research in Immunology (814 citations), Immunology and Allergy (143 citations) and Cancer Research (323 citations). Weihua Ni has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Shiro Kitamoto, Akira Takeshita, Kensuke Egashira, Shujiro Inoue, Masamichi Koyanagi, Makoto Usui, Chu Kataoka, Guixiang Tai, Hongtao Bi and Minako Ishibashi. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Blood.
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.