Yingji Chen
Impact in
-
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
-
- Ferroptosis and cancer prognosis
Papers in
-
- Ubiquitin and proteasome pathways 6
- Mitochondrial Function and Pathology 4
- RNA modifications and cancer 4
- PI3K/AKT/mTOR signaling in cancer 3
- Cell death mechanisms and regulation 2
-
- Ferroptosis and cancer prognosis 3
- Co-authors
- Xing Chen (1 shared paper)Chenji Wang (13 shared papers)Xuliang Chen (1 shared paper)Lingjin Huang (1 shared paper)Qinghua Hu (1 shared paper)Longyu Jin (6 shared papers)Daixing Hu (3 shared papers)Wei Feng (4 shared papers)
- Journals
- eLife (3 papers)Cell Death and Differentiation (3 papers)Cell Death and Disease (2 papers)Frontiers in Oncology (2 papers)Cancer Cell International (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yingji Chen
26 papers receiving 376 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 108
- Pulmonary and Respiratory Medicine 83
- Molecular Biology 191
- Immunology 53
- Endocrinology, Diabetes and Metabolism 35
Countries citing papers authored by Yingji Chen
This map shows the geographic impact of Yingji 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 Yingji Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingji Chen more than expected).
Fields of papers citing papers by Yingji Chen
This network shows the impact of papers produced by Yingji 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 Yingji Chen. The network helps show where Yingji Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingji 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 88 | |
| 2 | 2023 | 75 | |
| 3 | 2021 | 32 | |
| 4 | 2023 | 29 | |
| 5 | 2021 | 25 | |
| 6 | 2020 | 19 | |
| 7 | 2021 | 17 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2023 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2025 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2024 | 3 |
About Yingji Chen
Yingji Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Immunology and Cancer Research, having authored 27 papers that have together received 378 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Mitochondrial Function and Pathology (4 papers), Autophagy in Disease and Therapy (4 papers), RNA modifications and cancer (4 papers), Ferroptosis and cancer prognosis (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cancer Research (108 citations), Pulmonary and Respiratory Medicine (83 citations), Molecular Biology (191 citations), Immunology (53 citations) and Endocrinology, Diabetes and Metabolism (35 citations). Yingji Chen has collaborated with scholars based in China and United States. Frequent co-authors include Xing Chen, Chenji Wang, Xuliang Chen, Lingjin Huang, Qinghua Hu, Longyu Jin, Daixing Hu, Wei Feng, Xinliang Su and Kun Gao. Their work appears in journals such as eLife, Cell Death and Differentiation, Cell Death and Disease, Frontiers in Oncology and Cancer Cell International.
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.