Denise Chung
About
In The Last Decade
Denise Chung
25 papers receiving 728 citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 464
- Genetics 184
- Ecology 153
- Oncology 145
- Immunology 88
Countries citing papers authored by Denise Chung
This map shows the geographic impact of Denise Chung'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 Denise Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denise Chung more than expected).
Fields of papers citing papers by Denise Chung
This network shows the impact of papers produced by Denise Chung. 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 Denise Chung. The network helps show where Denise Chung may publish in the future.
Co-authorship network of co-authors of Denise Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Denise Chung. A scholar is included among the top collaborators of Denise Chung 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 Denise Chung. Denise Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | 399 | |
| 3 | 2 | |
| 4 | The Development of Novel STR Miniplex Primer Sets for the Analysis of Degraded and Compromised DNA Samples | 1 |
| 5 | 4 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 19 | |
| 12 | 12 | |
| 13 | 11 | |
| 14 | 21 | |
| 15 | 26 | |
| 16 | 18 | |
| 17 | 13 | |
| 18 | 6 | |
| 19 | 24 | |
| 20 | 13 |
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.