Deng Chen
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
-
- Macrophage Migration Inhibitory Factor
Papers in
-
- Ubiquitin and proteasome pathways 8
- Histone Deacetylase Inhibitors Research 6
- Protein Degradation and Inhibitors 5
- CRISPR and Genetic Engineering 4
- Immunology 15
- Macrophage Migration Inhibitory Factor 10
- Co-authors
- Frank J. Dekker (20 shared papers)Bin Liu (7 shared papers)Hidde J. Haisma (7 shared papers)Siwei Chen (5 shared papers)Fangyuan Cao (3 shared papers)Martijn R. H. Zwinderman (3 shared papers)Dominik Kiemel (1 shared paper)Wim J. Quax (10 shared papers)
- Journals
- Journal of Medicinal Chemistry (3 papers)Angewandte Chemie International Edition (3 papers)Cancers (3 papers)European Journal of Medicinal Chemistry (2 papers)Biochemical Pharmacology (2 papers)
- Partner nations
- ChinaNetherlandsUnited Kingdom
In The Last Decade
Deng Chen
61 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 119
- Molecular Medicine 75
- Immunology 166
- Molecular Biology 548
- Oncology 176
- Endocrinology 30
Countries citing papers authored by Deng Chen
This map shows the geographic impact of Deng 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 Deng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deng Chen more than expected).
Fields of papers citing papers by Deng Chen
This network shows the impact of papers produced by Deng 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 Deng Chen. The network helps show where Deng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Deng 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 294 | |
| 2 | 2020 | 65 | |
| 3 | 2013 | 45 | |
| 4 | 2021 | 44 | |
| 5 | 2019 | 43 | |
| 6 | 2021 | 39 | |
| 7 | 2019 | 37 | |
| 8 | 2009 | 34 | |
| 9 | 2021 | 33 | |
| 10 | 2020 | 28 | |
| 11 | 2020 | 25 | |
| 12 | 2021 | 24 | |
| 13 | 2023 | 24 | |
| 14 | 2022 | 24 | |
| 15 | 2023 | 23 | |
| 16 | 2017 | 22 | |
| 17 | 2020 | 21 | |
| 18 | 2023 | 21 | |
| 19 | 2023 | 19 | |
| 20 | 2020 | 18 |
About Deng Chen
Deng Chen is a scholar working on Molecular Biology, Immunology, Oncology, Cellular and Molecular Neuroscience and Epidemiology, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (10 papers), Ubiquitin and proteasome pathways (8 papers), Nuclear Receptors and Signaling (6 papers), Histone Deacetylase Inhibitors Research (6 papers), Peptidase Inhibition and Analysis (5 papers), Protein Degradation and Inhibitors (5 papers), CRISPR and Genetic Engineering (4 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Molecular Medicine (75 citations), Immunology (166 citations), Molecular Biology (548 citations), Oncology (176 citations) and Endocrinology (30 citations). Deng Chen has collaborated with scholars based in China, Netherlands and United Kingdom. Frequent co-authors include Frank J. Dekker, Bin Liu, Hidde J. Haisma, Siwei Chen, Fangyuan Cao, Martijn R. H. Zwinderman, Dominik Kiemel, Wim J. Quax, Petra E. van der Wouden and Zhangping Xiao. Their work appears in journals such as Journal of Medicinal Chemistry, Angewandte Chemie International Edition, Cancers, European Journal of Medicinal Chemistry and Biochemical Pharmacology.
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.