Shujie Wang
- Co-authors
- Kozo KaibuchiTakashi WatanabeMasato NakagawaYuko FukataJun NoritakeKazumasa SatoMasaki FukataNanae Izumi
- Topics
- Genetic Mapping and Diversity in Plants and Animals (8 papers)Cancer-related molecular mechanisms research (7 papers)Genetic and phenotypic traits in livestock (7 papers)
In The Last Decade
Shujie Wang
34 papers receiving 590 citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 337
- Cell Biology 163
- Genetics 88
- Cancer Research 79
- Oncology 59
Countries citing papers authored by Shujie Wang
This map shows the geographic impact of Shujie Wang'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 Shujie Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shujie Wang more than expected).
Fields of papers citing papers by Shujie Wang
This network shows the impact of papers produced by Shujie Wang. 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 Shujie Wang. The network helps show where Shujie Wang may publish in the future.
Co-authorship network of co-authors of Shujie Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shujie Wang. A scholar is included among the top collaborators of Shujie Wang 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 Shujie Wang. Shujie Wang 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 | 8 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 21 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | Genome-Wide Identification and Bioinformatics Analysis of HvBZR Gene Family in Barley | 1 |
| 11 | 41 | |
| 12 | Highly pathogenic porcine reproductive and respiratory syndrome virus induces apoptosis in thymi of infected piglet via caspase-mediated pathways. | 1 |
| 13 | Genomic sequencing and genetic diversity analysis of a pseudorabies virus based on main infection or virulence genes. | 1 |
| 14 | Cloning and tissue expression profiling of Malvolio gene Acmvl in the Chinese honeybee, Apis cerana cerana (Hymenoptera: Apidae). | 1 |
| 15 | 32 | |
| 16 | 39 | |
| 17 | 24 | |
| 18 | 89 | |
| 19 | Isolation and characterization of PRRSV GD3 strain isolated in China. | 1 |
| 20 | 114 |
About Shujie Wang
Shujie Wang is a scholar working on Cancer Research, Genetics and Agronomy and Crop Science, having authored 35 papers that have together received 595 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (8 papers), Cancer-related molecular mechanisms research (7 papers) and Genetic and phenotypic traits in livestock (7 papers). The work is most often cited by research in Cell Biology (163 citations), Cancer Research (79 citations) and Molecular Biology (337 citations). Shujie Wang has collaborated with scholars based in China, Japan and India. Frequent co-authors include Kozo Kaibuchi, Takashi Watanabe, Masato Nakagawa, Yuko Fukata, Jun Noritake, Kazumasa Sato, Masaki Fukata, Nanae Izumi, Weiguo Song and Wei Lv. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.
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.