Ada Chen
Impact in
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- Technology Adoption and User Behaviour
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- Genetic factors in colorectal cancer
Papers in ⓘ
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- Adenosine and Purinergic Signaling 6
- Oncology 7
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Young S. Kim (2 shared papers)Guoren Deng (2 shared papers)Huaiqing Wang (1 shared paper)Stephen Shaoyi Liao (1 shared paper)Yuan Shao (1 shared paper)Joe C. Hong (1 shared paper)Hiun Suk Chae (1 shared paper)Erik Pong (1 shared paper)
- Journals
- Cancer Immunology Research (3 papers)Cancer Research (3 papers)Molecular Cancer Therapeutics (1 paper)International Journal of Information Management (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
Ada Chen
18 papers receiving 854 citations
Peers
Comparison fields: 5 of 109
- Information Systems and Management 259
- Pathology and Forensic Medicine 259
- Cancer Research 170
- Organizational Behavior and Human Resource Management 96
- Oncology 252
Countries citing papers authored by Ada Chen
This map shows the geographic impact of Ada 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 Ada Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ada Chen more than expected).
Fields of papers citing papers by Ada Chen
This network shows the impact of papers produced by Ada 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 Ada Chen. The network helps show where Ada Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ada 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 | Methylation of CpG in a small region of the hMLH1 promoter invariably correlates with the absence of gene expression. | 1999 | 323 |
| 2 | 1999 | 317 | |
| 3 | 2015 | 116 | |
| 4 | 2001 | 71 | |
| 5 | 2021 | 26 | |
| 6 | 2018 | 21 | |
| 7 | 2014 | 13 | |
| 8 | 2007 | 7 | |
| 9 | 2018 | 5 | |
| 10 | 2008 | 3 | |
| 11 | 2016 | 2 | |
| 12 | 2013 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2017 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2025 | 0 |
About Ada Chen
Ada Chen is a scholar working on Physiology, Oncology, Pathology and Forensic Medicine, Applied Psychology and Information Systems and Management, having authored 20 papers that have together received 914 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (6 papers), Nanoplatforms for cancer theranostics (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Click Chemistry and Applications (3 papers), Genetic factors in colorectal cancer (2 papers), Synthesis and Biological Evaluation (2 papers), Epigenetics and DNA Methylation (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Information Systems and Management (259 citations), Pathology and Forensic Medicine (259 citations), Cancer Research (170 citations), Organizational Behavior and Human Resource Management (96 citations) and Oncology (252 citations). Ada Chen has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Young S. Kim, Guoren Deng, Huaiqing Wang, Stephen Shaoyi Liao, Yuan Shao, Joe C. Hong, Hiun Suk Chae, Erik Pong, Lixia Jin and Anne Y. Saiki. Their work appears in journals such as Cancer Immunology Research, Cancer Research, Molecular Cancer Therapeutics, International Journal of Information Management and Bioorganic & Medicinal Chemistry Letters.
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.