Daolin Tang
Impact in
- Cancer Research top 0.01%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Pulmonary and Respiratory Medicine top 0.01%
- Ferroptosis and cancer prognosis
Papers in
-
- Advanced Glycation End Products research 81
-
- Cancer, Lipids, and Metabolism 50
- Co-authors
- Rui Kang (251 shared papers)Guido Kroemer (62 shared papers)Xin Chen (38 shared papers)Michael T. Lotze (71 shared papers)Herbert J. Zeh (69 shared papers)Daniel J. Klionsky (41 shared papers)Jiao Liu (32 shared papers)Herbert J. Zeh (13 shared papers)
- Journals
- Autophagy (47 papers)Biochemical and Biophysical Research Communications (27 papers)Cell Death and Differentiation (10 papers)Frontiers in Cell and Developmental Biology (9 papers)Cell Death and Disease (9 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Daolin Tang
413 papers receiving 87.2k citations
Daolin Tang's Hit Papers
Peers
Comparison fields: 5 of 195
- Cancer Research 21.7k
- Pulmonary and Respiratory Medicine 33.7k
- Clinical Biochemistry 5.6k
- Molecular Biology 42.0k
- Immunology 11.6k
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-authors
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
Showing the 20 most-cited of 428 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ferroptosis: A Regulated Cell Death Nexus Linking Metabolism, Redox Biology, and Disease Hit paper breakdown → | 2017 | 5987 |
| 2 | Molecular mechanisms of cell death: recommendations of the Nomenclature Committee on Cell Death 2018 Hit paper breakdown → | 2018 | 5296 |
| 3 | Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) Hit paper breakdown → | 2016 | 4660 |
| 4 | Guidelines for the use and interpretation of assays for monitoring autophagy Hit paper breakdown → | 2012 | 3543 |
| 5 | Ferroptosis: molecular mechanisms and health implications Hit paper breakdown → | 2020 | 3277 |
| 6 | Ferroptosis: process and function Hit paper breakdown → | 2016 | 3125 |
| 7 | Broadening horizons: the role of ferroptosis in cancer Hit paper breakdown → | 2021 | 2306 |
| 8 | The Beclin 1 network regulates autophagy and apoptosis Hit paper breakdown → | 2011 | 2098 |
| 9 | The molecular machinery of regulated cell death Hit paper breakdown → | 2019 | 2064 |
| 10 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2038 |
| 11 | Autophagy promotes ferroptosis by degradation of ferritin Hit paper breakdown → | 2016 | 1940 |
| 12 | Activation of the p62‐Keap1‐NRF2 pathway protects against ferroptosis in hepatocellular carcinoma cells Hit paper breakdown → | 2015 | 1705 |
| 13 | Ferroptosis: machinery and regulation Hit paper breakdown → | 2020 | 1687 |
| 14 | PAMP s and DAMP s: signal 0s that spur autophagy and immunity Hit paper breakdown → | 2012 | 1000 |
| 15 | Ferroptosis is a type of autophagy-dependent cell death Hit paper breakdown → | 2019 | 916 |
| 16 | Identification of ACSL4 as a biomarker and contributor of ferroptosis Hit paper breakdown → | 2016 | 912 |
| 17 | Consensus guidelines for the definition, detection and interpretation of immunogenic cell death Hit paper breakdown → | 2020 | 897 |
| 18 | Endogenous HMGB1 regulates autophagy Hit paper breakdown → | 2010 | 834 |
| 19 | HMGB1 in health and disease Hit paper breakdown → | 2014 | 825 |
| 20 | The Tumor Suppressor p53 Limits Ferroptosis by Blocking DPP4 Activity Hit paper breakdown → | 2017 | 799 |
About Daolin Tang
Daolin Tang is a scholar working on Clinical Biochemistry, Cancer Research, Pulmonary and Respiratory Medicine, Immunology and Molecular Biology, having authored 428 papers that have together received 88.1k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (135 papers), Autophagy in Disease and Therapy (94 papers), Advanced Glycation End Products research (81 papers), RNA modifications and cancer (68 papers), Cancer, Lipids, and Metabolism (50 papers), Inflammasome and immune disorders (35 papers), Heme Oxygenase-1 and Carbon Monoxide (30 papers) and Immune cells in cancer (26 papers). The work is most often cited by research in Cancer Research (21.7k citations), Pulmonary and Respiratory Medicine (33.7k citations), Clinical Biochemistry (5.6k citations), Molecular Biology (42.0k citations) and Immunology (11.6k 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, Jiao Liu, Herbert J. Zeh, Yangchun Xie and Xiaofang Sun. Their work appears in journals such as Autophagy, Biochemical and Biophysical Research Communications, Cell Death and Differentiation, Frontiers in Cell and Developmental Biology and Cell Death and Disease.
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.