Wan-Chih Su
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
-
- Glycosylation and Glycoproteins Research
- Lipid Membrane Structure and Behavior
- RNA Interference and Gene Delivery
- Genomics and Phylogenetic Studies
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Lipid Membrane Structure and Behavior 8
- Advanced biosensing and bioanalysis techniques 2
- RNA Interference and Gene Delivery 2
- RNA Research and Splicing 2
- Glycosylation and Glycoproteins Research 2
-
- Nanopore and Nanochannel Transport Studies 3
- Co-authors
- Yu‐Ju Chen (2 shared papers)Atul N. Parikh (8 shared papers)Baoyu Huang (1 shared paper)Hwan‐Ching Tai (1 shared paper)James C. S. Ho (2 shared papers)Padmini Rangamani (1 shared paper)Morgan Chabanon (1 shared paper)Christine D. Keating (1 shared paper)
- Journals
- Biophysical Journal (2 papers)Journal of Chromatography A (2 papers)Langmuir (2 papers)Analytical and Bioanalytical Chemistry (1 paper)Nature Chemistry (1 paper)
- Partner nations
- United StatesTaiwanSingapore
In The Last Decade
Wan-Chih Su
13 papers receiving 313 citations
Peers
Comparison fields: 5 of 54
- Spectroscopy 83
- Molecular Biology 269
- Organic Chemistry 61
- Microbiology 13
- Biomaterials 27
Countries citing papers authored by Wan-Chih Su
This map shows the geographic impact of Wan-Chih Su'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 Wan-Chih Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan-Chih Su more than expected).
Fields of papers citing papers by Wan-Chih Su
This network shows the impact of papers produced by Wan-Chih Su. 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 Wan-Chih Su. The network helps show where Wan-Chih Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Wan-Chih Su, 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 | 2013 | 108 | |
| 2 | 2015 | 61 | |
| 3 | 2023 | 36 | |
| 4 | 2018 | 34 | |
| 5 | 2024 | 25 | |
| 6 | 2018 | 14 | |
| 7 | 2021 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2024 | 7 | |
| 11 | 2023 | 3 | |
| 12 | 2025 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2025 | 0 |
About Wan-Chih Su
Wan-Chih Su is a scholar working on Molecular Biology, Biomedical Engineering, Biomaterials, Electrical and Electronic Engineering and Infectious Diseases, having authored 14 papers that have together received 317 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (8 papers), Nanopore and Nanochannel Transport Studies (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA Interference and Gene Delivery (2 papers), Supramolecular Self-Assembly in Materials (2 papers), RNA Research and Splicing (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Field-Flow Fractionation Techniques (1 paper). The work is most often cited by research in Spectroscopy (83 citations), Molecular Biology (269 citations), Organic Chemistry (61 citations), Microbiology (13 citations) and Biomaterials (27 citations). Wan-Chih Su has collaborated with scholars based in United States, Taiwan and Singapore. Frequent co-authors include Yu‐Ju Chen, Atul N. Parikh, Baoyu Huang, Hwan‐Ching Tai, James C. S. Ho, Padmini Rangamani, Morgan Chabanon, Christine D. Keating, Ting‐Yi Sung and Cheng‐Wei Cheng. Their work appears in journals such as Biophysical Journal, Journal of Chromatography A, Langmuir, Analytical and Bioanalytical Chemistry and Nature Chemistry.
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.