John Shih
Impact in
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Zebrafish Biomedical Research Applications
- Hippo pathway signaling and YAP/TAZ
- Developmental Neuroscience top 5%
Papers in
-
- Developmental Biology and Gene Regulation 11
- Congenital heart defects research 7
- Pluripotent Stem Cells Research 1
-
- Zebrafish Biomedical Research Applications 5
- Cellular Mechanics and Interactions 2
- Co-authors
- Ray Keller (9 shared papers)Scott E. Fraser (5 shared papers)Amy K. Sater (2 shared papers)Jan L. Christian (1 shared paper)L. Lynn McGrew (1 shared paper)Robert L. Gimlich (1 shared paper)Robert M. Campbell (1 shared paper)Randall T. Moon (1 shared paper)
- Journals
- Development (9 papers)Developmental Dynamics (2 papers)Bioconjugate Chemistry (1 paper)Current Opinion in Genetics & Development (1 paper)Proceedings annual meeting Electron Microscopy Society of America (1 paper)
- Partner nations
- United States
In The Last Decade
John Shih
15 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 78
- Cell Biology 765
- Developmental Neuroscience 138
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 314
- Aging 26
Countries citing papers authored by John Shih
This map shows the geographic impact of John 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 John Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Shih more than expected).
Fields of papers citing papers by John Shih
This network shows the impact of papers produced by John 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 John Shih. The network helps show where John Shih may publish in the future.
Co-authors
The 16 scholars most cited alongside John 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 | 1993 | 281 | |
| 2 | 1992 | 281 | |
| 3 | 1992 | 194 | |
| 4 | 1985 | 189 | |
| 5 | 1996 | 189 | |
| 6 | 1992 | 173 | |
| 7 | 1998 | 158 | |
| 8 | 1993 | 112 | |
| 9 | 1995 | 102 | |
| 10 | 1992 | 101 | |
| 11 | 1992 | 85 | |
| 12 | 1992 | 78 | |
| 13 | 1995 | 51 | |
| 14 | 1994 | 18 | |
| 15 | 1989 | 5 |
About John Shih
John Shih is a scholar working on Molecular Biology, Cell Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience and Cancer Research, having authored 15 papers that have together received 2.0k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (11 papers), Congenital heart defects research (7 papers), Zebrafish Biomedical Research Applications (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), MicroRNA in disease regulation (2 papers), Cellular Mechanics and Interactions (2 papers), Silk-based biomaterials and applications (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Cell Biology (765 citations), Developmental Neuroscience (138 citations), Molecular Biology (1.6k citations), Cellular and Molecular Neuroscience (314 citations) and Aging (26 citations). John Shih has collaborated with scholars based in United States. Frequent co-authors include Ray Keller, Scott E. Fraser, Amy K. Sater, Jan L. Christian, L. Lynn McGrew, Robert L. Gimlich, Robert M. Campbell, Randall T. Moon, Michael V. Danilchik and Carmen R. Domingo. Their work appears in journals such as Development, Developmental Dynamics, Bioconjugate Chemistry, Current Opinion in Genetics & Development and Proceedings annual meeting Electron Microscopy Society of America.
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.