Daniel Shih
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Hemoglobinopathies and Related Disorders
- Cell Biology top 1%
- Hemoglobin structure and function
Papers in
- Cell Biology 27
- Hemoglobin structure and function 27
- Genetics 12
- Hemoglobinopathies and Related Disorders 6
- Mesenchymal stem cell research 6
- Co-authors
- Max Ferdinand Perutz (8 shared papers)Thierry Pierre Robert Burnouf (2 shared papers)Kiyoshi Nagai (7 shared papers)Gentaro Miyazaki (5 shared papers)Jeremy R. H. Tame (7 shared papers)Charlotte Head (8 shared papers)Ein‐Yiao Shen (1 shared paper)Ren‐Yeu Tsai (1 shared paper)
- Journals
- Journal of Molecular Biology (9 papers)Journal of Biological Chemistry (7 papers)Biochemistry (5 papers)Mayo Clinic Proceedings (2 papers)Nature (2 papers)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Daniel Shih
41 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 83
- Genetics 436
- Cell Biology 681
- Urology 102
- Molecular Biology 239
- Rehabilitation 20
Countries citing papers authored by Daniel Shih
This map shows the geographic impact of Daniel 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 Daniel Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Shih more than expected).
Fields of papers citing papers by Daniel Shih
This network shows the impact of papers produced by Daniel 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 Daniel Shih. The network helps show where Daniel Shih may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 200 | |
| 2 | 1987 | 145 | |
| 3 | 2014 | 143 | |
| 4 | 1994 | 116 | |
| 5 | 1985 | 96 | |
| 6 | 2010 | 75 | |
| 7 | 2004 | 59 | |
| 8 | 2005 | 52 | |
| 9 | 2012 | 50 | |
| 10 | 1993 | 44 | |
| 11 | 1991 | 42 | |
| 12 | 1991 | 41 | |
| 13 | 1992 | 40 | |
| 14 | 1985 | 39 | |
| 15 | 2016 | 33 | |
| 16 | 1987 | 28 | |
| 17 | 1988 | 28 | |
| 18 | 1993 | 28 | |
| 19 | 1991 | 27 | |
| 20 | 1985 | 25 |
About Daniel Shih
Daniel Shih is a scholar working on Cell Biology, Genetics, Oncology, Urology and Hepatology, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hemoglobin structure and function (27 papers), Hemoglobinopathies and Related Disorders (6 papers), Mesenchymal stem cell research (6 papers), Cancer Cells and Metastasis (2 papers), Protein purification and stability (1 paper), Fungal Biology and Applications (1 paper), Epigenetics and DNA Methylation (1 paper) and Periodontal Regeneration and Treatments (1 paper). The work is most often cited by research in Genetics (436 citations), Cell Biology (681 citations), Urology (102 citations), Molecular Biology (239 citations) and Rehabilitation (20 citations). Daniel Shih has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Max Ferdinand Perutz, Thierry Pierre Robert Burnouf, Kiyoshi Nagai, Gentaro Miyazaki, Jeremy R. H. Tame, Charlotte Head, Ein‐Yiao Shen, Ren‐Yeu Tsai, Ben F. Luisi and Wen‐Ta Chiu. Their work appears in journals such as Journal of Molecular Biology, Journal of Biological Chemistry, Biochemistry, Mayo Clinic Proceedings and Nature.
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.