Daolin Tang
- Cancer Research top 0.01%
- Cancer, Lipids, and Metabolism 48
- Pulmonary and Respiratory Medicine top 0.01%
- Ferroptosis and cancer prognosis 125
- Clinical Biochemistry top 0.01%
- Advanced Glycation End Products research 78
- Molecular Biology top 0.02%
- RNA modifications and cancer 71
- Inflammasome and immune disorders 30
- Immunology top 0.1%
- Immune Response and Inflammation 28
- Immune cells in cancer 28
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- Autophagy in Disease and Therapy 81
Daolin Tang
366 papers receiving 56.1k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Cancer Research 20.0k
- Pulmonary and Respiratory Medicine 25.5k
- Clinical Biochemistry 5.2k
- Molecular Biology 32.9k
- Immunology 9.0k
Countries citing papers authored by Daolin Tang
This map shows the geographic impact of Daolin Tang'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 Daolin Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daolin Tang more than expected).
Fields of papers citing papers by Daolin Tang
This network shows the impact of papers produced by Daolin Tang. 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 Daolin Tang. The network helps show where Daolin Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daolin Tang, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 24 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 36 | |
| 8 | Tumor-specific GPX4 degradation enhances ferroptosis-initiated antitumor immune response in mouse models of pancreatic cancerbreakdown → | 2023 | 171 |
| 9 | 2023 | 8 | |
| 10 | 2022 | 26 | |
| 11 | 2022 | 47 | |
| 12 | 2021 | 84 | |
| 13 | 2020 | 170 | |
| 14 | 2020 | 35 | |
| 15 | 2019 | 116 | |
| 16 | HSPA5 Regulates Ferroptotic Cell Death in Cancer Cellsbreakdown → | 2017 | 447 |
| 17 | 2016 | 40 | |
| 18 | Activation of the p62‐Keap1‐NRF2 pathway protects against ferroptosis in hepatocellular carcinoma cellsbreakdown → | 2015 | 1566 |
| 19 | 2015 | 78 | |
| 20 | 2012 | 220 |
About Daolin Tang
Daolin Tang is a scholar working on Clinical Biochemistry, Cancer Research and Immunology, having authored 377 papers that have together received 56.5k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (125 papers), Autophagy in Disease and Therapy (81 papers), Advanced Glycation End Products research (78 papers), RNA modifications and cancer (71 papers), Cancer, Lipids, and Metabolism (48 papers), Inflammasome and immune disorders (30 papers), Immune Response and Inflammation (28 papers) and Immune cells in cancer (28 papers). The work is most often cited by research in Cancer Research (20.0k citations), Pulmonary and Respiratory Medicine (25.5k citations) and Clinical Biochemistry (5.2k citations). Daolin Tang has collaborated with scholars based in United States, China and France. Frequent co-authors include Rui Kang, Guido Kroemer, Xin Chen, Michael T. Lotze, Herbert J. Zeh, Daniel J. Klionsky, Herbert J. Zeh, Jiao Liu, Yangchun Xie and Xiaofang Sun. Their work appears in journals such as Autophagy, Biochemical and Biophysical Research Communications, Cell Death and Disease, Frontiers in Cell and Developmental Biology and Nature Communications.
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.