Chi-De Chen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Ubiquitin and proteasome pathways 2
- Metabolomics and Mass Spectrometry Studies 2
-
- Medical Imaging and Pathology Studies 2
- Ferroptosis and cancer prognosis 1
- Co-authors
- Jau‐Song Yu (8 shared papers)Chih‐Ching Wu (8 shared papers)Yu‐Sun Chang (7 shared papers)Chia‐Wei Hsu (4 shared papers)Chia‐Jung Yu (5 shared papers)Yi‐Ting Chen (3 shared papers)Ting Chung (2 shared papers)Hsiao‐Wei Chen (2 shared papers)
- Journals
- Journal of Proteome Research (5 papers)Molecular & Cellular Proteomics (2 papers)Endocrinology (2 papers)Analytical Biochemistry (1 paper)Scientific Reports (1 paper)
- Partner nations
- TaiwanUnited StatesRussia
In The Last Decade
Chi-De Chen
13 papers receiving 882 citations
Peers
Comparison fields: 5 of 92
- Cancer Research 177
- Spectroscopy 196
- Molecular Biology 447
- Endocrinology, Diabetes and Metabolism 88
- Oncology 115
Countries citing papers authored by Chi-De Chen
This map shows the geographic impact of Chi-De Chen'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 Chi-De Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi-De Chen more than expected).
Fields of papers citing papers by Chi-De Chen
This network shows the impact of papers produced by Chi-De Chen. 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 Chi-De Chen. The network helps show where Chi-De Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi-De Chen, 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 | 2012 | 184 | |
| 2 | 2010 | 181 | |
| 3 | 2010 | 131 | |
| 4 | 2004 | 95 | |
| 5 | 2011 | 72 | |
| 6 | 2009 | 59 | |
| 7 | 2011 | 49 | |
| 8 | 2015 | 32 | |
| 9 | 2014 | 31 | |
| 10 | 2007 | 21 | |
| 11 | 2022 | 18 | |
| 12 | 2017 | 12 | |
| 13 | 2015 | 9 |
About Chi-De Chen
Chi-De Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Spectroscopy and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 894 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Peptidase Inhibition and Analysis (3 papers), Glycosylation and Glycoproteins Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Thyroid Disorders and Treatments (2 papers), Medical Imaging and Pathology Studies (2 papers) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cancer Research (177 citations), Spectroscopy (196 citations), Molecular Biology (447 citations), Endocrinology, Diabetes and Metabolism (88 citations) and Oncology (115 citations). Chi-De Chen has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Jau‐Song Yu, Chih‐Ching Wu, Yu‐Sun Chang, Chia‐Wei Hsu, Chia‐Jung Yu, Yi‐Ting Chen, Ting Chung, Hsiao‐Wei Chen, Chien‐Lun Chen and Phei‐Lang Chang. Their work appears in journals such as Journal of Proteome Research, Molecular & Cellular Proteomics, Endocrinology, Analytical Biochemistry and Scientific Reports.
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.