Hsiang‐Fu Kung
- Cancer Research top 5%
- MicroRNA in disease regulation 4
- Molecular Biology top 5%
- RNA modifications and cancer 6
- Epigenetics and DNA Methylation 6
- Redox biology and oxidative stress 3
- Glutathione Transferases and Polymorphisms 3
- Immunology top 10%
- Cell Biology top 5%
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 3
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- Prenatal Substance Exposure Effects 4
- Birth, Development, and Health 3
- Co-authors
- Gyula KovácsMarie C.M. LinAngela EmanuelL. FüzesiScott K. DurumJen‐Fu ChiuQing‐Yu HeNancy H. Colburn
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (5 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Hsiang‐Fu Kung
63 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 123
- Cancer Research 643
- Molecular Biology 1.9k
- Immunology 333
- Cell Biology 252
- Oncology 393
Countries citing papers authored by Hsiang‐Fu Kung
This map shows the geographic impact of Hsiang‐Fu Kung'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 Hsiang‐Fu Kung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiang‐Fu Kung more than expected).
Fields of papers citing papers by Hsiang‐Fu Kung
This network shows the impact of papers produced by Hsiang‐Fu Kung. 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 Hsiang‐Fu Kung. The network helps show where Hsiang‐Fu Kung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hsiang‐Fu Kung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 16 | |
| 2 | 2015 | 60 | |
| 3 | 2011 | 25 | |
| 4 | 2010 | 136 | |
| 5 | 2010 | 46 | |
| 6 | 2010 | 57 | |
| 7 | 2007 | 14 | |
| 8 | 2006 | 1 | |
| 9 | 2006 | 17 | |
| 10 | 2004 | 119 | |
| 11 | 2004 | 21 | |
| 12 | 2004 | 43 | |
| 13 | 2003 | 25 | |
| 14 | 2002 | 24 | |
| 15 | 2000 | 1 | |
| 16 | 2000 | 154 | |
| 17 | 1998 | 24 | |
| 18 | 1995 | 42 | |
| 19 | 1991 | 246 | |
| 20 | Molecular cloning and sequence analysis of two distinct types of Xenopus laevis protein kinase C. | 1988 | 20 |
About Hsiang‐Fu Kung
Hsiang‐Fu Kung is a scholar working on Molecular Biology, Biochemistry and Oncology, having authored 63 papers that have together received 2.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (6 papers), Prenatal Substance Exposure Effects (4 papers), MicroRNA in disease regulation (4 papers), Redox biology and oxidative stress (3 papers), Glutathione Transferases and Polymorphisms (3 papers), Birth, Development, and Health (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Cancer Research (643 citations), Molecular Biology (1.9k citations) and Immunology (333 citations). Hsiang‐Fu Kung has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Gyula Kovács, Marie C.M. Lin, Angela Emanuel, L. Füzesi, Scott K. Durum, Jen‐Fu Chiu, Qing‐Yu He, Nancy H. Colburn, Dong‐Yan Jin and Ren‐He Xu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.