Dan Chen
Impact in
- Molecular Biology top 5%
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Cancer Research top 10%
Papers in
-
- Mitochondrial Function and Pathology 6
- Retinal Development and Disorders 4
- Co-authors
- P. Nordlund (8 shared papers)Andreas Larsson (6 shared papers)Daniel Martinez Molina (2 shared papers)Rozbeh Jafari (2 shared papers)Yihai Cao (1 shared paper)Takahiro Seki (1 shared paper)Marina Ignatushchenko (1 shared paper)Zhiqin Xi (7 shared papers)
- Journals
- OncoTargets and Therapy (3 papers)PLoS ONE (2 papers)Chemosphere (2 papers)Seizure (2 papers)Drug Design Development and Therapy (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Dan Chen
107 papers receiving 3.7k citations
Dan Chen's Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 2.0k
- Cancer Research 258
- Oncology 463
- Computational Theory and Mathematics 316
- Geriatrics and Gerontology 52
Countries citing papers authored by Dan Chen
This map shows the geographic impact of Dan 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 Dan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Chen more than expected).
Fields of papers citing papers by Dan Chen
This network shows the impact of papers produced by Dan 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 Dan Chen. The network helps show where Dan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Monitoring Drug Target Engagement in Cells and Tissues Using the Cellular Thermal Shift Assay Hit paper breakdown → | 2013 | 1616 |
| 2 | 2019 | 144 | |
| 3 | 2016 | 128 | |
| 4 | 2017 | 99 | |
| 5 | 2016 | 74 | |
| 6 | 2005 | 69 | |
| 7 | 2012 | 66 | |
| 8 | 2008 | 62 | |
| 9 | 2016 | 61 | |
| 10 | 2013 | 58 | |
| 11 | 2020 | 57 | |
| 12 | 2011 | 57 | |
| 13 | 2018 | 56 | |
| 14 | 2017 | 54 | |
| 15 | 2013 | 53 | |
| 16 | 2021 | 44 | |
| 17 | 2018 | 41 | |
| 18 | 2020 | 40 | |
| 19 | 2014 | 39 | |
| 20 | 2015 | 37 |
About Dan Chen
Dan Chen is a scholar working on Molecular Biology, Plant Science, Oncology, Cellular and Molecular Neuroscience and Cancer Research, having authored 113 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Pregnancy and preeclampsia studies (6 papers), Mitochondrial Function and Pathology (6 papers), Computational Drug Discovery Methods (4 papers), Retinal Development and Disorders (4 papers), CAR-T cell therapy research (4 papers), Traditional Chinese Medicine Analysis (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Cancer Research (258 citations), Oncology (463 citations), Computational Theory and Mathematics (316 citations) and Geriatrics and Gerontology (52 citations). Dan Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include P. Nordlund, Andreas Larsson, Daniel Martinez Molina, Rozbeh Jafari, Yihai Cao, Takahiro Seki, Marina Ignatushchenko, Zhiqin Xi, Lingyun Dai and Zhengbo Song. Their work appears in journals such as OncoTargets and Therapy, PLoS ONE, Chemosphere, Seizure and Drug Design Development and Therapy.
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.