Hung Tseng
Impact in
- Health Informatics top 10%
-
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
-
- RNA Research and Splicing 10
- Genomics and Chromatin Dynamics 8
- RNA Interference and Gene Delivery 6
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 3
- Co-authors
- Chaomei Chen (1 shared paper)Zhigang Hu (1 shared paper)Shengbo Liu (1 shared paper)Richard M. Schultz (4 shared papers)Howard Green (2 shared papers)Junwen Wang (4 shared papers)Shengliang Zhang (3 shared papers)Jun Ma (1 shared paper)
- Journals
- PLoS ONE (3 papers)BioTechniques (2 papers)Biology of Reproduction (2 papers)Development (2 papers)iScience (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Hung Tseng
36 papers receiving 2.0k citations
Hung Tseng's Hit Papers
Peers
Comparison fields: 5 of 194
- Health Informatics 15
- Molecular Biology 615
- Statistics, Probability and Uncertainty 60
- Genetics 195
- Reproductive Medicine 49
Countries citing papers authored by Hung Tseng
This map shows the geographic impact of Hung Tseng'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 Hung Tseng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung Tseng more than expected).
Fields of papers citing papers by Hung Tseng
This network shows the impact of papers produced by Hung Tseng. 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 Hung Tseng. The network helps show where Hung Tseng may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung Tseng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Emerging trends in regenerative medicine: a scientometric analysis inCiteSpace Hit paper breakdown → | 2012 | 1112 |
| 2 | 2006 | 94 | |
| 3 | 2016 | 84 | |
| 4 | 2017 | 79 | |
| 5 | 1988 | 63 | |
| 6 | 2008 | 53 | |
| 7 | 2001 | 52 | |
| 8 | 1998 | 39 | |
| 9 | 2016 | 39 | |
| 10 | 1999 | 33 | |
| 11 | 2007 | 31 | |
| 12 | 2006 | 30 | |
| 13 | 2004 | 30 | |
| 14 | 2004 | 29 | |
| 15 | 2007 | 29 | |
| 16 | 2007 | 27 | |
| 17 | 1999 | 24 | |
| 18 | 1998 | 23 | |
| 19 | 2007 | 22 | |
| 20 | 2012 | 19 |
About Hung Tseng
Hung Tseng is a scholar working on Molecular Biology, Immunology, Artificial Intelligence, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), Genomics and Chromatin Dynamics (8 papers), RNA Interference and Gene Delivery (6 papers), CRISPR and Genetic Engineering (3 papers), Text Readability and Simplification (3 papers), Aortic Disease and Treatment Approaches (3 papers), RNA and protein synthesis mechanisms (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Health Informatics (15 citations), Molecular Biology (615 citations), Statistics, Probability and Uncertainty (60 citations), Genetics (195 citations) and Reproductive Medicine (49 citations). Hung Tseng has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Chaomei Chen, Zhigang Hu, Shengbo Liu, Richard M. Schultz, Howard Green, Junwen Wang, Shengliang Zhang, Jun Ma, Raymond S. Brown and Fanyi Zeng. Their work appears in journals such as PLoS ONE, BioTechniques, Biology of Reproduction, Development and iScience.
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.