Dejun Tang
About
In The Last Decade
Dejun Tang
15 papers receiving 447 citations
Peers
Comparison fields: 5 of 73
- Pathology and Forensic Medicine 248
- Molecular Biology 187
- Neurology 78
- Oncology 69
- Immunology 52
Countries citing papers authored by Dejun Tang
This map shows the geographic impact of Dejun Tang'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 Dejun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejun Tang more than expected).
Fields of papers citing papers by Dejun Tang
This network shows the impact of papers produced by Dejun Tang. 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 Dejun Tang. The network helps show where Dejun Tang may publish in the future.
Co-authorship network of co-authors of Dejun Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Dejun Tang. A scholar is included among the top collaborators of Dejun Tang 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 Dejun Tang. Dejun Tang 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 67 | |
| 9 | 114 | |
| 10 | 107 | |
| 11 | 65 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 33 | |
| 17 | 53 | |
| 18 | Choice of priors for hierarchical models: Admissibility and computation | 3 |
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.