She‐pin Hung
Impact in
- Endocrinology top 5%
- Genetics top 5%
- Bacterial Genetics and Biotechnology
Papers in
-
- RNA and protein synthesis mechanisms 5
- Molecular Biology Techniques and Applications 3
- Gene expression and cancer classification 3
- Microbial Metabolic Engineering and Bioproduction 2
- RNA Research and Splicing 2
- Genomics and Phylogenetic Studies 1
- Genetics 6
- Bacterial Genetics and Biotechnology 5
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- G. Wesley Hatfield (10 shared papers)Pierre Baldi (6 shared papers)Kirsty Salmon (2 shared papers)Robert P. Gunsalus (2 shared papers)Nicholas R. Steffen (1 shared paper)Rebecca Krupp (1 shared paper)Yimeng Dou (1 shared paper)Klemens J. Hertel (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Microbiology (1 paper)Journal of Applied Physiology (1 paper)Biomacromolecules (1 paper)
- Partner nations
- United StatesBelarusPoland
In The Last Decade
She‐pin Hung
11 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 112
- Endocrinology 94
- Genetics 381
- Molecular Biology 888
- Rehabilitation 86
- Molecular Medicine 46
Countries citing papers authored by She‐pin Hung
This map shows the geographic impact of She‐pin Hung'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 She‐pin Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites She‐pin Hung more than expected).
Fields of papers citing papers by She‐pin Hung
This network shows the impact of papers produced by She‐pin Hung. 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 She‐pin Hung. The network helps show where She‐pin Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside She‐pin Hung, 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 | 2005 | 309 | |
| 2 | 2003 | 224 | |
| 3 | 2005 | 188 | |
| 4 | 2004 | 157 | |
| 5 | 2002 | 114 | |
| 6 | 2003 | 91 | |
| 7 | 1999 | 65 | |
| 8 | 2004 | 49 | |
| 9 | 2005 | 31 | |
| 10 | 2010 | 19 | |
| 11 | 2005 | 3 |
About She‐pin Hung
She‐pin Hung is a scholar working on Molecular Biology, Genetics, Dermatology, Rehabilitation and Biomaterials, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Bacterial Genetics and Biotechnology (5 papers), Molecular Biology Techniques and Applications (3 papers), Gene expression and cancer classification (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), RNA Research and Splicing (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Endocrinology (94 citations), Genetics (381 citations), Molecular Biology (888 citations), Rehabilitation (86 citations) and Molecular Medicine (46 citations). She‐pin Hung has collaborated with scholars based in United States, Belarus and Poland. Frequent co-authors include G. Wesley Hatfield, Pierre Baldi, Kirsty Salmon, Robert P. Gunsalus, Nicholas R. Steffen, Rebecca Krupp, Yimeng Dou, Klemens J. Hertel, Bianca J. Lam and Peter H. Connolly. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular Microbiology, Journal of Applied Physiology and Biomacromolecules.
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.