Daniel Shih
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Hemoglobinopathies and Related Disorders
- Cell Biology top 2%
- Hemoglobin structure and function
Papers in
- Cell Biology 32
- Hemoglobin structure and function 32
- Genetics 24
- Hemoglobinopathies and Related Disorders 17
- Mesenchymal stem cell research 7
- Co-authors
- M. F. Perutz (8 shared papers)Thierry Burnouf (2 shared papers)D. Williamson (2 shared papers)Kiyoshi Nagai (7 shared papers)Gentaro Miyazaki (5 shared papers)Jeremy R. H. Tame (7 shared papers)Ben F. Luisi (4 shared papers)Angela M. Gronenborn (3 shared papers)
- Journals
- Journal of Molecular Biology (9 papers)Journal of Biological Chemistry (7 papers)Biochemistry (5 papers)Nature (2 papers)Mayo Clinic Proceedings (2 papers)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Daniel Shih
42 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Genetics 598
- Cell Biology 728
- Urology 128
- Pediatrics, Perinatology and Child Health 289
- Physiology 269
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 | 186 | |
| 2 | 2014 | 140 | |
| 3 | 1987 | 140 | |
| 4 | 1994 | 111 | |
| 5 | 1985 | 95 | |
| 6 | 2010 | 69 | |
| 7 | 2004 | 52 | |
| 8 | 2005 | 49 | |
| 9 | 2012 | 47 | |
| 10 | 1991 | 42 | |
| 11 | 1993 | 40 | |
| 12 | 1991 | 39 | |
| 13 | 1985 | 37 | |
| 14 | 1992 | 36 | |
| 15 | 2016 | 31 | |
| 16 | 1987 | 29 | |
| 17 | 1988 | 29 | |
| 18 | 2011 | 25 | |
| 19 | 1985 | 25 | |
| 20 | 1993 | 24 |
About Daniel Shih
Daniel Shih is a scholar working on Cell Biology, Genetics, Pediatrics, Perinatology and Child Health, Molecular Biology and Physiology, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hemoglobin structure and function (32 papers), Hemoglobinopathies and Related Disorders (17 papers), Neonatal Health and Biochemistry (17 papers), Erythrocyte Function and Pathophysiology (10 papers), Mesenchymal stem cell research (7 papers), Protein Structure and Dynamics (5 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (4 papers). The work is most often cited by research in Genetics (598 citations), Cell Biology (728 citations), Urology (128 citations), Pediatrics, Perinatology and Child Health (289 citations) and Physiology (269 citations). Daniel Shih has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include M. F. Perutz, Thierry Burnouf, D. Williamson, Kiyoshi Nagai, Gentaro Miyazaki, Jeremy R. H. Tame, Ben F. Luisi, Angela M. Gronenborn, Richard T. Jones and G. Marius Clore. Their work appears in journals such as Journal of Molecular Biology, Journal of Biological Chemistry, Biochemistry, Nature and Mayo Clinic Proceedings.
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.