Weiping J. Zhang
- Molecular Biology top 10%
- Epidemiology top 10%
- Materials Chemistry
- Cancer Research top 10%
- Electrical and Electronic Engineering
- Co-authors
- Zhifang XieTakeshi YoshikawaHaruhiko YoshidaAkemi TakataMasao OmataCharles VadnaisMotoyuki OtsukaMasao Akanuma
- Topics
- Diet, Metabolism, and Disease (8 papers)Lipid metabolism and biosynthesis (8 papers)Pancreatic function and diabetes (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Weiping J. Zhang
49 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 918
- Epidemiology 354
- Materials Chemistry 343
- Cancer Research 305
- Electrical and Electronic Engineering 259
Countries citing papers authored by Weiping J. Zhang
This map shows the geographic impact of Weiping J. Zhang'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 Weiping J. Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiping J. Zhang more than expected).
Fields of papers citing papers by Weiping J. Zhang
This network shows the impact of papers produced by Weiping J. Zhang. 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 Weiping J. Zhang. The network helps show where Weiping J. Zhang may publish in the future.
Co-authorship network of co-authors of Weiping J. Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Weiping J. Zhang. A scholar is included among the top collaborators of Weiping J. Zhang 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 Weiping J. Zhang. Weiping J. Zhang 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 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 30 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 34 | |
| 11 | 25 | |
| 12 | 54 | |
| 13 | 35 | |
| 14 | 26 | |
| 15 | 20 | |
| 16 | 19 | |
| 17 | 42 | |
| 18 | 22 | |
| 19 | 97 | |
| 20 | 74 |
About Weiping J. Zhang
Weiping J. Zhang is a scholar working on Biochemistry, Sensory Systems and Endocrinology, Diabetes and Metabolism, having authored 54 papers that have together received 2.6k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (8 papers), Lipid metabolism and biosynthesis (8 papers) and Pancreatic function and diabetes (8 papers). The work is most often cited by research in Cancer Research (305 citations), Sensory Systems (82 citations) and Molecular Biology (918 citations). Weiping J. Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhifang Xie, Takeshi Yoshikawa, Haruhiko Yoshida, Akemi Takata, Masao Omata, Charles Vadnais, Motoyuki Otsuka, Masao Akanuma, Kentaro Kojima and Kazuhiko Koike. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.