Songpeng Zu
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Cancer Research
- Oncology
- Pulmonary and Respiratory Medicine
- Topics
- Computational Drug Discovery Methods (3 papers)Single-cell and spatial transcriptomics (2 papers)Machine Learning in Materials Science (2 papers)
- Journals
- BioinformaticsNAR Genomics and BioinformaticsZenodo (CERN European Organization for Nuclear Research)
- Partner nations
- ChinaUnited States
In The Last Decade
Songpeng Zu
6 papers receiving 150 citations
Peers
Comparison fields: 5 of 45
- Molecular Biology 120
- Computational Theory and Mathematics 72
- Cancer Research 32
- Oncology 17
- Pulmonary and Respiratory Medicine 14
Countries citing papers authored by Songpeng Zu
This map shows the geographic impact of Songpeng Zu'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 Songpeng Zu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songpeng Zu more than expected).
Fields of papers citing papers by Songpeng Zu
This network shows the impact of papers produced by Songpeng Zu. 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 Songpeng Zu. The network helps show where Songpeng Zu may publish in the future.
Co-authorship network of co-authors of Songpeng Zu
This figure shows the co-authorship network connecting the top 25 collaborators of Songpeng Zu. A scholar is included among the top collaborators of Songpeng Zu 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 Songpeng Zu. Songpeng Zu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 112 | |
| 6 | 22 |
About Songpeng Zu
Songpeng Zu is a scholar working on Computational Theory and Mathematics, Molecular Biology and Cancer Research, having authored 6 papers that have together received 156 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Single-cell and spatial transcriptomics (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Computational Theory and Mathematics (72 citations), Cancer Research (32 citations) and Biophysics (10 citations). Songpeng Zu has collaborated with scholars based in China and United States. Frequent co-authors include Jin Gu, Zijian Ding, Shao Li, Ting Chen, Jun S. Liu, Zhirui Hu, Yonghui Zhang, Laming Chen and Hanning Zhou. Their work appears in journals such as Bioinformatics, NAR Genomics and Bioinformatics and Zenodo (CERN European Organization for Nuclear Research).
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.