Yu‐Ling Shih
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Genetics top 2%
- Bacterial Genetics and Biotechnology
Papers in
- Genetics 21
- Bacterial Genetics and Biotechnology 20
-
- RNA and protein synthesis mechanisms 7
- Protein Structure and Dynamics 6
- Co-authors
- Lawrence Rothfield (10 shared papers)Aziz Taghbalout (1 shared paper)Yan Zhang (1 shared paper)Xiaoli Fu (1 shared paper)George P. C. Salmond (3 shared papers)Stephen D. Bentley (2 shared papers)Ikuro Kawagishi (1 shared paper)Stephen Harris (1 shared paper)
- Journals
- Molecular Microbiology (4 papers)Environmental Microbiology (2 papers)Frontiers in Microbiology (2 papers)Biophysical Journal (2 papers)PLoS ONE (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Yu‐Ling Shih
39 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 113
- Endocrinology 259
- Genetics 1.1k
- Molecular Biology 1.4k
- Molecular Medicine 95
- Ecology 475
Countries citing papers authored by Yu‐Ling Shih
This map shows the geographic impact of Yu‐Ling 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 Yu‐Ling Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Ling Shih more than expected).
Fields of papers citing papers by Yu‐Ling Shih
This network shows the impact of papers produced by Yu‐Ling 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 Yu‐Ling Shih. The network helps show where Yu‐Ling Shih may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Ling 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 301 | |
| 2 | 2005 | 233 | |
| 3 | 2006 | 196 | |
| 4 | 2001 | 177 | |
| 5 | 1998 | 105 | |
| 6 | 2002 | 98 | |
| 7 | 2005 | 88 | |
| 8 | 2009 | 76 | |
| 9 | 2009 | 75 | |
| 10 | 2016 | 67 | |
| 11 | 2000 | 64 | |
| 12 | 2016 | 51 | |
| 13 | 2001 | 50 | |
| 14 | 2011 | 37 | |
| 15 | 2019 | 37 | |
| 16 | 1997 | 33 | |
| 17 | 2013 | 30 | |
| 18 | 1999 | 28 | |
| 19 | 2015 | 26 | |
| 20 | 2016 | 18 |
About Yu‐Ling Shih
Yu‐Ling Shih is a scholar working on Genetics, Molecular Biology, Ecology, Endocrinology and Plant Science, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (20 papers), Bacteriophages and microbial interactions (11 papers), RNA and protein synthesis mechanisms (7 papers), Escherichia coli research studies (7 papers), Protein Structure and Dynamics (6 papers), Plant Pathogenic Bacteria Studies (5 papers), Legume Nitrogen Fixing Symbiosis (4 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Endocrinology (259 citations), Genetics (1.1k citations), Molecular Biology (1.4k citations), Molecular Medicine (95 citations) and Ecology (475 citations). Yu‐Ling Shih has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Lawrence Rothfield, Aziz Taghbalout, Yan Zhang, Xiaoli Fu, George P. C. Salmond, Stephen D. Bentley, Ikuro Kawagishi, Stephen Harris, Purva Vats and Glenn F. King. Their work appears in journals such as Molecular Microbiology, Environmental Microbiology, Frontiers in Microbiology, Biophysical Journal and PLoS ONE.
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.