Kaihua Wei
- Molecular Biology
- Food Science top 10%
- Public Health, Environmental and Occupational Health
- Immunology
- Infectious Diseases
- Topics
- Advanced Proteomics Techniques and Applications (7 papers)Mass Spectrometry Techniques and Applications (4 papers)Ubiquitin and proteasome pathways (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kaihua Wei
28 papers receiving 707 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 397
- Food Science 141
- Public Health, Environmental and Occupational Health 104
- Immunology 93
- Infectious Diseases 80
Countries citing papers authored by Kaihua Wei
This map shows the geographic impact of Kaihua Wei'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 Kaihua Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaihua Wei more than expected).
Fields of papers citing papers by Kaihua Wei
This network shows the impact of papers produced by Kaihua Wei. 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 Kaihua Wei. The network helps show where Kaihua Wei may publish in the future.
Co-authorship network of co-authors of Kaihua Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Kaihua Wei. A scholar is included among the top collaborators of Kaihua Wei 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 Kaihua Wei. Kaihua Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Comparison of Protein Extraction Methods for Two-dimensional Electrophoresis in Tobacco Root | 1 |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 42 | |
| 8 | 85 | |
| 9 | 1 | |
| 10 | 55 | |
| 11 | 65 | |
| 12 | 37 | |
| 13 | [Investigation of constituents in siwu tang fractions by chromatographic and ESI-MS methods]. | 4 |
| 14 | Application of Direct Infusion Electrospray Ionization Quadrupole Time-of-Flight Mass Spectrometry in Qualitative Analysis of Sixteen Compounds From Traditional Chinese Medicine | 3 |
| 15 | [Application of PSD-MALDI-TOF-MS to protein identification]. | 2 |
| 16 | 38 | |
| 17 | 59 | |
| 18 | 26 | |
| 19 | 27 | |
| 20 | [Application of bio-mass spectrometry in cellular signal transduction]. | 2 |
About Kaihua Wei
Kaihua Wei is a scholar working on Spectroscopy, Molecular Biology and Endocrinology, having authored 28 papers that have together received 717 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Endocrinology (58 citations), Food Science (141 citations) and Microbiology (46 citations). Kaihua Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xuemin Zhang, Liuyu Huang, Hengliang Wang, Tianyi Ying, Peitang Huang, Erling Feng, Jing Yuan, Li Zhu, Jie Wang and Xiankai Liu. Their work appears in journals such as Journal of Biological Chemistry, Oncogene and European Journal of Biochemistry.
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.