Lang‐Ming Chi
Impact in
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
-
- Lipid Membrane Structure and Behavior 5
- Sphingolipid Metabolism and Signaling 2
- Machine Learning in Bioinformatics 2
- Oncology 9
- Peptidase Inhibition and Analysis 4
- Co-authors
- Jau‐Song Yu (16 shared papers)Kun‐Yi Chien (12 shared papers)Yu‐Sun Chang (13 shared papers)Kai‐Ping Chang (11 shared papers)Ying Liang (8 shared papers)Wen‐guey Wu (4 shared papers)Shiau-Chin Liu (4 shared papers)Chih‐Ching Wu (2 shared papers)
- Journals
- Molecular & Cellular Proteomics (4 papers)Journal of Proteome Research (3 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (3 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Proteomics (2 papers)
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Lang‐Ming Chi
32 papers receiving 899 citations
Peers
Comparison fields: 5 of 90
- Otorhinolaryngology 45
- Cancer Research 146
- Periodontics 40
- Spectroscopy 147
- Molecular Biology 466
Countries citing papers authored by Lang‐Ming Chi
This map shows the geographic impact of Lang‐Ming Chi'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 Lang‐Ming Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lang‐Ming Chi more than expected).
Fields of papers citing papers by Lang‐Ming Chi
This network shows the impact of papers produced by Lang‐Ming Chi. 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 Lang‐Ming Chi. The network helps show where Lang‐Ming Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lang‐Ming Chi, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 89 | |
| 2 | 2011 | 79 | |
| 3 | 2011 | 64 | |
| 4 | 2008 | 53 | |
| 5 | 2018 | 47 | |
| 6 | 1991 | 47 | |
| 7 | 2019 | 41 | |
| 8 | 2014 | 41 | |
| 9 | 2015 | 39 | |
| 10 | 2011 | 37 | |
| 11 | 2019 | 31 | |
| 12 | 2013 | 31 | |
| 13 | 1998 | 31 | |
| 14 | 2013 | 30 | |
| 15 | 2018 | 29 | |
| 16 | 1990 | 29 | |
| 17 | 2006 | 24 | |
| 18 | 1990 | 23 | |
| 19 | 2018 | 22 | |
| 20 | 2017 | 22 |
About Lang‐Ming Chi
Lang‐Ming Chi is a scholar working on Molecular Biology, Oncology, Spectroscopy, Physiology and Immunology, having authored 33 papers that have together received 909 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Lipid Membrane Structure and Behavior (5 papers), Peptidase Inhibition and Analysis (4 papers), Advanced NMR Techniques and Applications (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Salivary Gland Disorders and Functions (2 papers), Machine Learning in Bioinformatics (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Otorhinolaryngology (45 citations), Cancer Research (146 citations), Periodontics (40 citations), Spectroscopy (147 citations) and Molecular Biology (466 citations). Lang‐Ming Chi has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Jau‐Song Yu, Kun‐Yi Chien, Yu‐Sun Chang, Kai‐Ping Chang, Ying Liang, Wen‐guey Wu, Shiau-Chin Liu, Chih‐Ching Wu, Chien‐Wei Lee and Chia‐Jung Yu. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, Biochimica et Biophysica Acta (BBA) - Biomembranes, Biochemical and Biophysical Research Communications and Journal of Proteomics.
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.