Dahong Teng
About
In The Last Decade
Dahong Teng
13 papers receiving 447 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 357
- Pathology and Forensic Medicine 143
- Cancer Research 65
- Immunology 58
- Oncology 52
Countries citing papers authored by Dahong Teng
This map shows the geographic impact of Dahong Teng'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 Dahong Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dahong Teng more than expected).
Fields of papers citing papers by Dahong Teng
This network shows the impact of papers produced by Dahong Teng. 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 Dahong Teng. The network helps show where Dahong Teng may publish in the future.
Co-authorship network of co-authors of Dahong Teng
This figure shows the co-authorship network connecting the top 25 collaborators of Dahong Teng. A scholar is included among the top collaborators of Dahong Teng 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 Dahong Teng. Dahong Teng 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 | 8 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 36 | |
| 6 | 32 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 10 | |
| 10 | 13 | |
| 11 | 5 | |
| 12 | BRG1, a component of the SWI-SNF complex, is mutated in multiple human tumor cell lines. | 286 |
| 13 | 26 | |
| 14 | 17 |
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.