Chi-De Chen

1.0k citations
13 papers · 857 indexed · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications

Papers in

Chi-De Chen

13 papers receiving 845 citations

Peers

Chi-De Chen
Comparison fields: 5 of 97
  • Cancer Research 188
  • Spectroscopy 199
  • Molecular Biology 470
  • Endocrinology, Diabetes and Metabolism 93
  • Oncology 129
Replace M. Amneus with:
M. Amneus United States
Chiao‐Yun Lin Taiwan
Mario W. Kramer Germany
Ulrika Segersten Sweden
Pamela Della Mina Italy
John Corr Ireland
Tatsuo Nakagawa Japan
Ting Chung Taiwan
Antony C. P. Riddick United Kingdom
Bernd Muehlenweg Germany
Chi-De Chen relative to M. Amneus United States M. Amneus's profile →
Citations per field
00.5×2.7×
M. Amneus · 1×
Citations per year

Countries citing papers authored by Chi-De Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chi-De Chen Line = papers co-authored together Chi-De Chen links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2010179
2 2012171
3 2010120
4 200491
5 201170
6 200957
7 201149
8 201532
9 201430
10 200721
11 202217
12 201711
13 20159

About Chi-De Chen

Chi-De Chen is a scholar working on Spectroscopy, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Oncology and Molecular Biology, having authored 13 papers that have together received 857 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Peptidase Inhibition and Analysis (3 papers), Thyroid Disorders and Treatments (2 papers), Medical Imaging and Pathology Studies (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Glycosylation and Glycoproteins Research (2 papers), Ubiquitin and proteasome pathways (2 papers) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Cancer Research (188 citations), Spectroscopy (199 citations), Molecular Biology (470 citations), Endocrinology, Diabetes and Metabolism (93 citations) and Oncology (129 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, Chien‐Lun Chen, Hsiao‐Wei Chen and Phei‐Lang Chang. Their work appears in journals such as Journal of Proteome Research, Endocrinology, Molecular & Cellular Proteomics, Oncotarget 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.

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