Longfei Dai

1.1k total citations · 1 hit paper
28 papers, 748 citations indexed

About

Longfei Dai is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Longfei Dai has authored 28 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Longfei Dai's work include Ferroptosis and cancer prognosis (7 papers), Cancer-related molecular mechanisms research (6 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Longfei Dai is often cited by papers focused on Ferroptosis and cancer prognosis (7 papers), Cancer-related molecular mechanisms research (6 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Longfei Dai collaborates with scholars based in China and France. Longfei Dai's co-authors include Haiyang Xie, Shusen Zheng, Jian Wu, Diyu Chen, Lin Zhou, Yanpeng Zhang, Wendi Hu, Yunhao Chen, Bin He and Chuanhui Peng and has published in prestigious journals such as Chemical Engineering Journal, Frontiers in Immunology and Molecular Cancer.

In The Last Decade

Longfei Dai

24 papers receiving 742 citations

Hit Papers

WTAP facilitates progression of hepatocellular carcinoma ... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Longfei Dai China 10 611 349 109 95 90 28 748
Haiyun Xie China 20 953 1.6× 575 1.6× 97 0.9× 101 1.1× 96 1.1× 31 1.1k
Jinfeng Ning China 13 559 0.9× 313 0.9× 121 1.1× 135 1.4× 34 0.4× 22 724
Kaifang Ma China 11 432 0.7× 323 0.9× 87 0.8× 150 1.6× 36 0.4× 28 614
Haibiao Xie China 15 723 1.2× 504 1.4× 110 1.0× 148 1.6× 36 0.4× 30 904
Juhong Wang China 12 419 0.7× 280 0.8× 83 0.8× 50 0.5× 38 0.4× 17 507
Lina Romero United States 11 327 0.5× 261 0.7× 93 0.9× 148 1.6× 45 0.5× 13 606
Yuejie Lu China 9 545 0.9× 428 1.2× 71 0.7× 104 1.1× 26 0.3× 15 678
Arabella Wan China 10 1.1k 1.7× 632 1.8× 133 1.2× 84 0.9× 126 1.4× 18 1.2k
Chengshan Xu China 13 412 0.7× 206 0.6× 84 0.8× 57 0.6× 40 0.4× 26 586

Countries citing papers authored by Longfei Dai

Since Specialization
Citations

This map shows the geographic impact of Longfei Dai'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 Longfei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longfei Dai more than expected).

Fields of papers citing papers by Longfei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Longfei Dai. 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 Longfei Dai. The network helps show where Longfei Dai may publish in the future.

Co-authorship network of co-authors of Longfei Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Longfei Dai. A scholar is included among the top collaborators of Longfei Dai 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 Longfei Dai. Longfei Dai 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.
Dai, Longfei, et al.. (2025). Design of Crₙ Cluster-doped MoTe₂ monolayers for efficient adsorption and sensing of SF₆ decomposition gases. Surfaces and Interfaces. 72. 107465–107465. 1 indexed citations
2.
Lu, Zheng, Longfei Dai, Chen‐Wei Peng, et al.. (2025). Solution-based Co-deposited Ni seed grids enabling simplified copper electroplating for silicon heterojunction solar cells. Solar Energy Materials and Solar Cells. 292. 113828–113828.
3.
Dai, Longfei, et al.. (2024). Machine learning-based integration identifies the ferroptosis hub genes in nonalcoholic steatohepatitis. Lipids in Health and Disease. 23(1). 23–23. 7 indexed citations
5.
Wang, Xu, Jiajie Chen, Longfei Dai, et al.. (2024). Robust machine−learning based prognostic index using cytotoxic T lymphocyte evasion genes highlights potential therapeutic targets in colorectal cancer. Cancer Cell International. 24(1). 52–52. 6 indexed citations
6.
Zhang, Peng, et al.. (2024). Regulation of Inflammation, Lipid Metabolism, and Liver Fibrosis by Core Genes of M1 Macrophages in NASH. Journal of Inflammation Research. Volume 17. 9975–9986. 3 indexed citations
7.
Li, Anxin, Shuai Zou, Chen‐Wei Peng, et al.. (2024). Improving the light trapping ability and flexural strength of ultrathin monocrystalline silicon wafers with submicron pyramid textures. Solar Energy Materials and Solar Cells. 271. 112847–112847. 2 indexed citations
8.
Dai, Longfei, et al.. (2024). Machine learning-based algorithm identifies key mitochondria-related genes in non-alcoholic steatohepatitis. Lipids in Health and Disease. 23(1). 137–137. 3 indexed citations
9.
Pei, Bei, Longfei Dai, Peng Lü, et al.. (2023). Risk factors analysis and survival prediction model establishment of patients with lung adenocarcinoma based on different pyroptosis-related gene subtypes. European journal of medical research. 28(1). 601–601. 1 indexed citations
10.
Jiang, Chenyu, Wei Cheng, Kai Yang, et al.. (2023). A solid strategy to realize efficient antibacterial activity on the shade surface of bulk silicon under natural or indoor lighting. Chemical Engineering Journal. 479. 147734–147734. 3 indexed citations
12.
Cheng, Wei, Xue Wang, Shuai Zou, et al.. (2023). Fabrication of Black Silicon Microneedle Arrays for High Drug Loading. Journal of Functional Biomaterials. 14(5). 245–245. 12 indexed citations
13.
Dai, Longfei, et al.. (2022). Identification of a novel cellular senescence-related signature for the prediction of prognosis and immunotherapy response in colon cancer. Frontiers in Genetics. 13. 961554–961554. 6 indexed citations
14.
Wang, Zhiyi, et al.. (2022). LncRNA LINC01134 Contributes to Radioresistance in Hepatocellular Carcinoma by Regulating DNA Damage Response via MAPK Signaling Pathway. Frontiers in Pharmacology. 12. 791889–791889. 19 indexed citations
16.
Wang, Xu, Longfei Dai, Zhen Yu, et al.. (2022). A novel oxidative stress- and ferroptosis-related gene prognostic signature for distinguishing cold and hot tumors in colorectal cancer. Frontiers in Immunology. 13. 1043738–1043738. 26 indexed citations
17.
Dai, Longfei, et al.. (2022). Cellular Senescence-Related Genes: Predicting Prognosis in Gastric Cancer. Frontiers in Genetics. 13. 909546–909546. 14 indexed citations
18.
Wang, Xu, Zhenglin Wang, Longfei Dai, et al.. (2021). Using Immune-Related Long Non-coding Ribonucleic Acids to Develop a Novel Prognosis Signature and Predict the Immune Landscape of Colon Cancer. Frontiers in Cell and Developmental Biology. 9. 750709–750709. 2 indexed citations
19.
Chen, Yunhao, Chuanhui Peng, Junru Chen, et al.. (2019). WTAP facilitates progression of hepatocellular carcinoma via m6A-HuR-dependent epigenetic silencing of ETS1. Molecular Cancer. 18(1). 127–127. 479 indexed citations breakdown →
20.
He, Bin, Longfei Dai, Xiaoqian Zhang, et al.. (2018). The HDAC Inhibitor Quisinostat (JNJ-26481585) Supresses Hepatocellular Carcinoma alone and Synergistically in Combination with Sorafenib by G0/G1 phase arrest and Apoptosis induction. International Journal of Biological Sciences. 14(13). 1845–1858. 38 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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