Daolin Tang

103.8k total citations · 62 hit papers
377 papers, 56.5k citations indexed

About

Daolin Tang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Daolin Tang has authored 377 papers receiving a total of 56.5k indexed citations (citations by other indexed papers that have themselves been cited), including 240 papers in Molecular Biology, 135 papers in Pulmonary and Respiratory Medicine and 98 papers in Cancer Research. Recurrent topics in Daolin Tang's work include Ferroptosis and cancer prognosis (125 papers), Autophagy in Disease and Therapy (81 papers) and Advanced Glycation End Products research (78 papers). Daolin Tang is often cited by papers focused on Ferroptosis and cancer prognosis (125 papers), Autophagy in Disease and Therapy (81 papers) and Advanced Glycation End Products research (78 papers). Daolin Tang collaborates with scholars based in United States, China and France. Daolin Tang's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Daolin Tang

366 papers receiving 56.1k citations

Hit Papers

Ferroptosis: process and function 2009 2026 2014 2020 2016 2020 2021 2011 2019 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daolin Tang United States 111 32.9k 25.5k 20.0k 9.0k 9.0k 377 56.5k
Rui Kang United States 100 27.6k 0.8× 23.4k 0.9× 17.5k 0.9× 5.6k 0.6× 7.2k 0.8× 280 46.5k
Clary B. Clish United States 91 23.3k 0.7× 6.3k 0.2× 8.7k 0.4× 4.5k 0.5× 4.0k 0.4× 384 40.1k
Michael T. Lotze United States 116 20.4k 0.6× 7.7k 0.3× 6.6k 0.3× 8.4k 0.9× 26.0k 2.9× 504 57.5k
Lorenzo Galluzzi France 123 31.6k 1.0× 5.8k 0.2× 8.2k 0.4× 11.7k 1.3× 21.1k 2.3× 444 67.3k
Stefanie Dimmeler Germany 143 42.9k 1.3× 4.7k 0.2× 17.0k 0.9× 3.8k 0.4× 9.3k 1.0× 518 73.2k
Jian Zhang China 79 15.5k 0.5× 4.4k 0.2× 7.5k 0.4× 3.1k 0.3× 5.0k 0.6× 1.3k 32.7k
Andreas M. Zeiher Germany 139 32.0k 1.0× 5.2k 0.2× 11.4k 0.6× 4.1k 0.5× 8.2k 0.9× 564 69.3k
Gregory J. Gores United States 142 19.3k 0.6× 11.3k 0.4× 9.1k 0.5× 20.1k 2.2× 4.2k 0.5× 591 63.2k
Joseph V. Bonventre United States 120 21.0k 0.6× 6.0k 0.2× 2.4k 0.1× 3.8k 0.4× 5.5k 0.6× 516 55.9k
Augustine M.K. Choi United States 105 28.9k 0.9× 6.9k 0.3× 2.7k 0.1× 8.8k 1.0× 4.9k 0.5× 368 45.1k

Countries citing papers authored by Daolin Tang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Daolin Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Daolin Tang. A scholar is included among the top collaborators of Daolin Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daolin Tang. Daolin Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gong, Yuan, Wenyan Hao, Zhenzhen Dong, et al.. (2025). BCG‐Derived Outer Membrane Vesicles Induce TLR2‐Dependent Trained Immunity to Protect Against Polymicrobial Sepsis. Advanced Science. 12(37). e04101–e04101. 2 indexed citations
2.
Metur, Shree Padma, Xinxin Song, Sameer Mehta, et al.. (2025). Yeast TIA1 coordinates with Npl3 to promote ATG1 translation during starvation. Cell Reports. 44(2). 115316–115316. 1 indexed citations
3.
Chen, Fangquan, et al.. (2024). DAMPs in immunosenescence and cancer. Seminars in Cancer Biology. 106-107. 123–142. 24 indexed citations
4.
Chen, Fangquan, et al.. (2024). ITCH inhibits alkaliptosis in human pancreatic cancer cells through YAP1-dependent SLC16A1 activation. The International Journal of Biochemistry & Cell Biology. 175. 106646–106646. 1 indexed citations
5.
An, Xiaoqin, Wenfeng Yu, Jinbao Liu, et al.. (2024). Oxidative cell death in cancer: mechanisms and therapeutic opportunities. Cell Death and Disease. 15(8). 204 indexed citations breakdown →
6.
Chen, Ruochan, et al.. (2023). HMGB1 in the interplay between autophagy and apoptosis in cancer. Cancer Letters. 581. 216494–216494. 36 indexed citations
7.
Tang, Daolin, Guido Kroemer, & Rui Kang. (2023). Ferroptosis in immunostimulation and immunosuppression. Immunological Reviews. 321(1). 199–210. 68 indexed citations
8.
Xue, Qian‐Li, Yan Ding, Xi Chen, et al.. (2023). Copper-dependent autophagic degradation of GPX4 drives ferroptosis. Autophagy. 19(7). 1982–1996. 405 indexed citations breakdown →
9.
Yao, Leyi, Yan Ding, Qian‐Li Xue, et al.. (2023). Plumbagin is a novel GPX4 protein degrader that induces apoptosis in hepatocellular carcinoma cells. Free Radical Biology and Medicine. 203. 1–10. 50 indexed citations
10.
Tang, Daolin & Rui Kang. (2023). SQSTM1 is a therapeutic target for infection and sterile inflammation. Cytokine. 169. 156317–156317. 5 indexed citations
11.
Chen, Xin, Xinxin Song, Jingbo Li, et al.. (2022). Identification of HPCAL1 as a specific autophagy receptor involved in ferroptosis. Autophagy. 19(1). 54–74. 86 indexed citations
12.
Liu, Ke, Jun Huang, Jiao Liu, et al.. (2022). HSP90 Mediates IFNγ-Induced Adaptive Resistance to Anti-PD-1 Immunotherapy. Cancer Research. 82(10). 2003–2018. 26 indexed citations
13.
Chen, Xin, Jingbo Li, Rui Kang, Daniel J. Klionsky, & Daolin Tang. (2020). Ferroptosis: machinery and regulation. Autophagy. 17(9). 2054–2081. 1472 indexed citations breakdown →
14.
Liu, Jiao, Feimei Kuang, Guido Kroemer, et al.. (2020). Autophagy-Dependent Ferroptosis: Machinery and Regulation. Cell chemical biology. 27(4). 420–435. 626 indexed citations breakdown →
15.
Tang, Daolin, Xin Chen, Rui Kang, & Guido Kroemer. (2020). Ferroptosis: molecular mechanisms and health implications. Cell Research. 31(2). 107–125. 2777 indexed citations breakdown →
16.
Zeh, Herbert J., Nathan Bahary, Brian A. Boone, et al.. (2020). A Randomized Phase II Preoperative Study of Autophagy Inhibition with High-Dose Hydroxychloroquine and Gemcitabine/Nab-Paclitaxel in Pancreatic Cancer Patients. Clinical Cancer Research. 26(13). 3126–3134. 170 indexed citations
17.
Zhu, Shan, Qiuhong Zhang, Xiaofan Sun, et al.. (2017). HSPA5 Regulates Ferroptotic Cell Death in Cancer Cells. Cancer Research. 77(8). 2064–2077. 447 indexed citations breakdown →
18.
Sun, Xiaofang, Zhanhui Ou, Ruochan Chen, et al.. (2015). Activation of the p62‐Keap1‐NRF2 pathway protects against ferroptosis in hepatocellular carcinoma cells. Hepatology. 63(1). 173–184. 1566 indexed citations breakdown →
19.
Chen, Man, Yao Liu, Patrick R. Varley, et al.. (2015). High-Mobility Group Box 1 Promotes Hepatocellular Carcinoma Progression through miR-21–Mediated Matrix Metalloproteinase Activity. Cancer Research. 75(8). 1645–1656. 78 indexed citations
20.
Livesey, Kristen M., Rui Kang, Philip Vernon, et al.. (2012). p53/HMGB1 Complexes Regulate Autophagy and Apoptosis. Cancer Research. 72(8). 1996–2005. 220 indexed citations

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.

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