H. Sunny Sun
- Molecular Biology top 5%
- Cancer Research top 1%
- Genetics top 5%
- Immunology top 10%
- Reproductive Medicine top 2%
- Co-authors
- Shaw‐Jenq TsaiKuei‐Yang HsiaoYa‐Chi LinNing ChangLaising YenSachin GuptaJia‐Shing ChenTsung-Ming Chen
- Topics
- Epigenetics and DNA Methylation (13 papers)Molecular Biology Techniques and Applications (10 papers)RNA modifications and cancer (10 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
H. Sunny Sun
144 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 2.3k
- Cancer Research 1.2k
- Genetics 639
- Immunology 424
- Reproductive Medicine 378
Countries citing papers authored by H. Sunny Sun
This map shows the geographic impact of H. Sunny Sun'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 H. Sunny Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Sunny Sun more than expected).
Fields of papers citing papers by H. Sunny Sun
This network shows the impact of papers produced by H. Sunny Sun. 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 H. Sunny Sun. The network helps show where H. Sunny Sun may publish in the future.
Co-authorship network of co-authors of H. Sunny Sun
This figure shows the co-authorship network connecting the top 25 collaborators of H. Sunny Sun. A scholar is included among the top collaborators of H. Sunny Sun 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 H. Sunny Sun. H. Sunny Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 23 | |
| 7 | 5 | |
| 8 | 65 | |
| 9 | Noncoding Effects of Circular RNA CCDC66 Promote Colon Cancer Growth and Metastasisbreakdown → | 518 |
| 10 | 54 | |
| 11 | 6 | |
| 12 | 16 | |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 25 | |
| 16 | 79 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | Quantitative Measurement of PIT1, GH, and PRL mRNA and Circulating Hormone Levels in Pig Families Segregating PIT1 Genotypes | 1 |
| 20 | 2 |
About H. Sunny Sun
H. Sunny Sun is a scholar working on Genetics, Cancer Research and Reproductive Medicine, having authored 157 papers that have together received 4.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (13 papers), Molecular Biology Techniques and Applications (10 papers) and RNA modifications and cancer (10 papers). The work is most often cited by research in Cancer Research (1.2k citations), Reproductive Medicine (378 citations) and Molecular Biology (2.3k citations). H. Sunny Sun has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shaw‐Jenq Tsai, Kuei‐Yang Hsiao, Ya‐Chi Lin, Ning Chang, Laising Yen, Sachin Gupta, Jia‐Shing Chen, Tsung-Ming Chen, Meng‐Hsing Wu and Richard Barton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.