Siyu Jia
About
In The Last Decade
Siyu Jia
24 papers receiving 224 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 81
- Epidemiology 35
- Oncology 33
- Cancer Research 31
- Pharmacology 21
Countries citing papers authored by Siyu Jia
This map shows the geographic impact of Siyu Jia'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 Siyu Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siyu Jia more than expected).
Fields of papers citing papers by Siyu Jia
This network shows the impact of papers produced by Siyu Jia. 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 Siyu Jia. The network helps show where Siyu Jia may publish in the future.
Co-authorship network of co-authors of Siyu Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Siyu Jia. A scholar is included among the top collaborators of Siyu Jia 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 Siyu Jia. Siyu Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 32 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 13 | |
| 18 | 19 | |
| 19 | 1 | |
| 20 | 38 |
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.