Yu‐Ling Shih

2.4k total citations
39 papers, 1.9k citations indexed

About

Yu‐Ling Shih is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Yu‐Ling Shih has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 18 papers in Molecular Biology and 11 papers in Ecology. Recurrent topics in Yu‐Ling Shih's work include Bacterial Genetics and Biotechnology (20 papers), Bacteriophages and microbial interactions (11 papers) and Escherichia coli research studies (7 papers). Yu‐Ling Shih is often cited by papers focused on Bacterial Genetics and Biotechnology (20 papers), Bacteriophages and microbial interactions (11 papers) and Escherichia coli research studies (7 papers). Yu‐Ling Shih collaborates with scholars based in Taiwan, United States and United Kingdom. Yu‐Ling Shih's 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 and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Yu‐Ling Shih

39 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yu‐Ling Shih Taiwan 19 1.4k 1.0k 478 260 258 39 1.9k
David M. Raskin United States 9 1.2k 0.9× 985 0.9× 423 0.9× 227 0.9× 121 0.5× 20 1.6k
Kumaran S. Ramamurthi United States 27 1.5k 1.1× 1.2k 1.2× 685 1.4× 266 1.0× 196 0.8× 51 2.3k
Zonglin Hu United States 13 1.5k 1.1× 1.1k 1.1× 461 1.0× 207 0.8× 132 0.5× 17 1.9k
R.E. Crossley United States 15 1.4k 1.0× 1.3k 1.2× 612 1.3× 163 0.6× 219 0.8× 20 2.0k
Tâm Mignot France 33 2.1k 1.5× 1.4k 1.4× 810 1.7× 455 1.8× 168 0.7× 79 2.9k
Norbert O. E. Vischer Netherlands 21 1.2k 0.9× 728 0.7× 431 0.9× 124 0.5× 233 0.9× 43 1.6k
Barrett S. Perchuk United States 17 1.5k 1.1× 1.1k 1.1× 448 0.9× 210 0.8× 175 0.7× 18 1.8k
Szabolcs Semsey Denmark 27 1.3k 1.0× 848 0.8× 444 0.9× 136 0.5× 117 0.5× 65 1.8k
Cynthia A. Hale United States 14 1.4k 1.0× 1.4k 1.3× 662 1.4× 222 0.9× 166 0.6× 16 1.9k
Daniela Fischer Germany 25 1.5k 1.1× 1.1k 1.1× 377 0.8× 346 1.3× 149 0.6× 43 2.5k

Countries citing papers authored by Yu‐Ling Shih

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Yu‐Ling Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Ling Shih. A scholar is included among the top collaborators of Yu‐Ling 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 Yu‐Ling Shih. Yu‐Ling Shih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tu, I‐Ping, et al.. (2024). Growth-dependent concentration gradient of the oscillating Min system in Escherichia coli. The Journal of Cell Biology. 224(2). 1 indexed citations
2.
Chen, Xiaorui, Orion Shih, U‐Ser Jeng, et al.. (2023). Structure of the heterotrimeric membrane protein complex FtsB-FtsL-FtsQ of the bacterial divisome. Nature Communications. 14(1). 1903–1903. 12 indexed citations
3.
Bai, Fan, et al.. (2021). Probing bacterial cell wall growth by tracing wall-anchored protein complexes. Nature Communications. 12(1). 2160–2160. 7 indexed citations
4.
Shih, Yu‐Ling, et al.. (2019). Active Transport of Membrane Components by Dynamic Min Protein Waves. Biophysical Journal. 116(3). 215a–215a. 2 indexed citations
5.
Wu, Chih‐Feng, et al.. (2019). Effector loading onto the VgrG carrier activates type VI secretion system assembly. EMBO Reports. 21(1). e47961–e47961. 35 indexed citations
6.
Shih, Yu‐Ling, et al.. (2019). Active Transport of Membrane Components by Self-Organization of the Min Proteins. Biophysical Journal. 116(8). 1469–1482. 11 indexed citations
7.
Chen, Chun‐Ming, et al.. (2018). Cerebellar contributions to tactile perception in people with varying sensorimotor experiences: Examining the sensory acquisition hypothesis. Human Movement Science. 63. 45–52. 4 indexed citations
8.
Liang, Suh‐Yuen, et al.. (2016). Quantitative inner membrane proteome datasets of the wild-type and the Δmin mutant of Escherichia coli. Data in Brief. 8. 304–307. 1 indexed citations
9.
Liang, Suh‐Yuen, et al.. (2016). Quantitative Proteomics Analysis Reveals the Min System of Escherichia coli Modulates Reversible Protein Association with the Inner Membrane. Molecular & Cellular Proteomics. 15(5). 1572–1583. 17 indexed citations
10.
Chen, Yu‐Chun, et al.. (2015). Effects of Volleyball Training on Visual Time Perception. 48(1). 105–115. 1 indexed citations
11.
Wong, Michael K. Y., et al.. (2015). Mitochondrial Genome Maintenance 1 (Mgm1) Protein Alters Membrane Topology and Promotes Local Membrane Bending. Journal of Molecular Biology. 427(16). 2599–2609. 25 indexed citations
12.
Zheng, Min, et al.. (2014). Self-Assembly of MinE on the Membrane Underlies Formation of the MinE Ring to Sustain Function of the Escherichia coli Min System. Journal of Biological Chemistry. 289(31). 21252–21266. 16 indexed citations
13.
Shih, Yu‐Ling, et al.. (2012). Low-Intensity Task-Oriented Exercise for Ambulation-Challenged Residents in Long-Term Care Facilities. American Journal of Physical Medicine & Rehabilitation. 91(7). 616–624. 13 indexed citations
14.
Hsieh, Cheng‐Wei, et al.. (2009). Direct MinE–membrane interaction contributes to the proper localization of MinDE in E. coli. Molecular Microbiology. 75(2). 499–512. 75 indexed citations
15.
Pradel, Nathalie, Claire‐Lise Santini, Alain Bernadac, et al.. (2006). Polar positional information in Escherichia coli spherical cells. Biochemical and Biophysical Research Communications. 353(2). 493–500. 11 indexed citations
16.
Shih, Yu‐Ling, Ikuro Kawagishi, & Lawrence Rothfield. (2005). The MreB and Min cytoskeletal‐like systems play independent roles in prokaryotic polar differentiation. Molecular Microbiology. 58(4). 917–928. 83 indexed citations
17.
Rothfield, Lawrence, Aziz Taghbalout, & Yu‐Ling Shih. (2005). Spatial control of bacterial division-site placement. Nature Reviews Microbiology. 3(12). 959–968. 229 indexed citations
18.
Shih, Yu‐Ling, et al.. (2003). Division site selection in Escherichia coli involves dynamic redistribution of Min proteins within coiled structures that extend between the two cell poles. Proceedings of the National Academy of Sciences. 100(13). 7865–7870. 293 indexed citations
19.
20.
Rothfield, Lawrence, Yu‐Ling Shih, & Glenn F. King. (2001). Polar Explorers. Cell. 106(1). 13–16. 49 indexed citations

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.

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