William M. Shih
- Molecular Biology top 0.2%
- Biomedical Engineering top 0.2%
- Ecology top 0.5%
- Materials Chemistry top 5%
- Electronic, Optical and Magnetic Materials top 2%
- Co-authors
- Shawn M. DouglasHendrik DietzTim LiedlPeng YinBjörn HögbergYonggang KeFranziska GrafSteven D. Perrault
- Topics
- Advanced biosensing and bioanalysis techniques (65 papers)RNA Interference and Gene Delivery (38 papers)Bacteriophages and microbial interactions (28 papers)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
William M. Shih
83 papers receiving 15.3k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 13.3k
- Biomedical Engineering 4.1k
- Ecology 2.8k
- Materials Chemistry 1.1k
- Electronic, Optical and Magnetic Materials 983
Countries citing papers authored by William M. Shih
This map shows the geographic impact of William M. 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 William M. Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William M. Shih more than expected).
Fields of papers citing papers by William M. Shih
This network shows the impact of papers produced by William M. 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 William M. Shih. The network helps show where William M. Shih may publish in the future.
Co-authorship network of co-authors of William M. Shih
This figure shows the co-authorship network connecting the top 25 collaborators of William M. Shih. A scholar is included among the top collaborators of William M. Shih based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William M. Shih. William M. Shih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 67 | |
| 7 | 30 | |
| 8 | 27 | |
| 9 | 118 | |
| 10 | 29 | |
| 11 | 11 | |
| 12 | 240 | |
| 13 | 136 | |
| 14 | Three-Dimensional Structures Self-Assembled from DNA Bricksbreakdown → | 978 |
| 15 | 1 | |
| 16 | 2 | |
| 17 | Folding DNA into Twisted and Curved Nanoscale Shapesbreakdown → | 1065 |
| 18 | Rapid prototyping of 3D DNA-origami shapes with caDNAnobreakdown → | 955 |
| 19 | Self-assembly of DNA into nanoscale three-dimensional shapesbreakdown → | 2054 |
| 20 | 370 |
About William M. Shih
William M. Shih is a scholar working on Structural Biology, Ecology and Molecular Biology, having authored 83 papers that have together received 15.5k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (65 papers), RNA Interference and Gene Delivery (38 papers) and Bacteriophages and microbial interactions (28 papers). The work is most often cited by research in Structural Biology (326 citations), Molecular Biology (13.3k citations) and Biophysics (678 citations). William M. Shih has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Shawn M. Douglas, Hendrik Dietz, Tim Liedl, Peng Yin, Björn Högberg, Yonggang Ke, Franziska Graf, Steven D. Perrault, Hao Yan and Luvena L. Ong. Their work appears in journals such as Nature, Science and Cell.
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.