Daici Chen
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Fungal and yeast genetics research
- Gene expression and cancer classification
Papers in
-
- Fungal and yeast genetics research 3
- Ubiquitin and proteasome pathways 2
- Oncology 9
- Colorectal Cancer Treatments and Studies 3
- Cancer Cells and Metastasis 2
- Co-authors
- Teresa Reguly (1 shared paper)Michael Livstone (1 shared paper)Bobby‐Joe Breitkreutz (1 shared paper)Julie Nixon (1 shared paper)Lorrie Boucher (1 shared paper)Nadine K. Kolas (1 shared paper)Kara Dolinski (1 shared paper)Christie Chang (1 shared paper)
- Journals
- Translational Oncology (2 papers)International Journal of Biological Sciences (2 papers)Cell Death and Disease (2 papers)Oncology Reports (1 paper)npj Precision Oncology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Daici Chen
29 papers receiving 1.5k citations
Daici Chen's Hit Papers
Peers
Comparison fields: 5 of 100
- Cancer Research 244
- Molecular Biology 1.1k
- Cell Biology 158
- Aging 14
- Computational Theory and Mathematics 113
Countries citing papers authored by Daici Chen
This map shows the geographic impact of Daici 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 Daici Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daici Chen more than expected).
Fields of papers citing papers by Daici Chen
This network shows the impact of papers produced by Daici 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 Daici Chen. The network helps show where Daici Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Daici 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
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The BioGRID interaction database: 2013 update Hit paper breakdown → | 2012 | 771 |
| 2 | 2021 | 85 | |
| 3 | 2011 | 84 | |
| 4 | 2016 | 62 | |
| 5 | 2019 | 55 | |
| 6 | 2022 | 54 | |
| 7 | 2012 | 53 | |
| 8 | 2018 | 37 | |
| 9 | 2017 | 36 | |
| 10 | 2016 | 33 | |
| 11 | 2020 | 31 | |
| 12 | 2018 | 27 | |
| 13 | 2020 | 27 | |
| 14 | 2022 | 25 | |
| 15 | 2013 | 16 | |
| 16 | 2016 | 16 | |
| 17 | 2019 | 16 | |
| 18 | 2023 | 13 | |
| 19 | 2022 | 12 | |
| 20 | 2017 | 10 |
About Daici Chen
Daici Chen is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Fungal and yeast genetics research (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Effects of Radiation Exposure (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer, Lipids, and Metabolism (2 papers), Cancer Cells and Metastasis (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cancer Research (244 citations), Molecular Biology (1.1k citations), Cell Biology (158 citations), Aging (14 citations) and Computational Theory and Mathematics (113 citations). Daici Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Teresa Reguly, Michael Livstone, Bobby‐Joe Breitkreutz, Julie Nixon, Lorrie Boucher, Nadine K. Kolas, Kara Dolinski, Christie Chang, Jennifer Rust and Sven Heinicke. Their work appears in journals such as Translational Oncology, International Journal of Biological Sciences, Cell Death and Disease, Oncology Reports and npj Precision Oncology.
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.