Hsiu‐Ming Shih
- Biochemistry top 2%
- Immunology top 5%
- T-cell and Retrovirus Studies 6
- interferon and immune responses 4
- Immune Cell Function and Interaction 4
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology 5
- Cancer Research top 5%
- NF-κB Signaling Pathways 6
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways 10
- Metabolism, Diabetes, and Cancer 4
- RNA Research and Splicing 4
- Co-authors
- Howard C. TowleElizabeth N. KaytorJae Bum KimTom EllenbergerYuan‐Di C. HalvorsenBruce M. SpiegelmanMegan E. LauranceLaurie M. Connor
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Hsiu‐Ming Shih
58 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 99
- Biochemistry 215
- Immunology 621
- Agronomy and Crop Science 280
- Cancer Research 402
- Molecular Biology 1.7k
Countries citing papers authored by Hsiu‐Ming Shih
This map shows the geographic impact of Hsiu‐Ming Shih'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 Hsiu‐Ming Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiu‐Ming Shih more than expected).
Fields of papers citing papers by Hsiu‐Ming Shih
This network shows the impact of papers produced by Hsiu‐Ming Shih. 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 Hsiu‐Ming Shih. The network helps show where Hsiu‐Ming Shih may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hsiu‐Ming Shih, 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 | 2023 | 6 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 5 | |
| 6 | 2018 | 27 | |
| 7 | 2018 | 14 | |
| 8 | 2015 | 12 | |
| 9 | 2015 | 41 | |
| 10 | 2014 | 57 | |
| 11 | 2013 | 16 | |
| 12 | 2009 | 15 | |
| 13 | 2005 | 16 | |
| 14 | 2004 | 37 | |
| 15 | 2001 | 36 | |
| 16 | 2001 | 64 | |
| 17 | 2001 | 34 | |
| 18 | 1996 | 313 | |
| 19 | 1995 | 290 | |
| 20 | 1995 | 104 |
About Hsiu‐Ming Shih
Hsiu‐Ming Shih is a scholar working on Cancer Research, Immunology and Biochemistry, having authored 58 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), T-cell and Retrovirus Studies (6 papers), NF-κB Signaling Pathways (6 papers), Animal Disease Management and Epidemiology (5 papers), interferon and immune responses (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Immune Cell Function and Interaction (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Biochemistry (215 citations), Immunology (621 citations) and Agronomy and Crop Science (280 citations). Hsiu‐Ming Shih has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Howard C. Towle, Elizabeth N. Kaytor, Jae Bum Kim, Tom Ellenberger, Yuan‐Di C. Halvorsen, Bruce M. Spiegelman, Megan E. Laurance, Laurie M. Connor, Richard H. Goodman and James R. Lundblad. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.