Peng Luo

11.2k total citations · 10 hit papers
389 papers, 6.1k citations indexed

About

Peng Luo is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Peng Luo has authored 389 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Molecular Biology, 127 papers in Oncology and 108 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Peng Luo's work include Cancer Immunotherapy and Biomarkers (69 papers), Ferroptosis and cancer prognosis (63 papers) and Lung Cancer Treatments and Mutations (26 papers). Peng Luo is often cited by papers focused on Cancer Immunotherapy and Biomarkers (69 papers), Ferroptosis and cancer prognosis (63 papers) and Lung Cancer Treatments and Mutations (26 papers). Peng Luo collaborates with scholars based in China, United States and Hong Kong. Peng Luo's co-authors include Jian Zhang, Anqi Lin, Quan Cheng, Zaoqu Liu, Hao Zhang, Ting Wei, Zaoqu Liu, Nan Zhang, Xinwei Han and Yuqing Ren and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Peng Luo

347 papers receiving 6.0k citations

Hit Papers

Immunosenescence: molecular mechanisms and ... 2020 2026 2022 2024 2023 2020 2023 2022 2023 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
Peng Luo China 39 2.3k 2.0k 1.4k 1.3k 1.2k 389 6.1k
Jiuwei Cui China 44 3.1k 1.4× 2.6k 1.3× 1.4k 1.0× 1.6k 1.2× 1.8k 1.5× 361 7.4k
Xiaoling Li China 45 3.6k 1.6× 1.4k 0.7× 1.1k 0.8× 1.3k 1.0× 1.8k 1.5× 224 6.9k
Ding Ma China 37 2.8k 1.2× 1.7k 0.8× 1.0k 0.7× 771 0.6× 1.9k 1.6× 202 5.7k
Junjie Wang China 35 1.7k 0.7× 1.4k 0.7× 1.2k 0.8× 965 0.7× 1.1k 0.9× 296 5.3k
Jun Zhang China 51 3.7k 1.6× 2.5k 1.2× 1.9k 1.3× 967 0.7× 1.8k 1.5× 419 8.9k
Liping Wang China 36 1.6k 0.7× 2.1k 1.0× 835 0.6× 1.7k 1.3× 633 0.5× 233 5.4k
Yifan Wang China 37 3.0k 1.3× 2.4k 1.2× 870 0.6× 1.1k 0.9× 1.1k 0.9× 194 7.1k
Xiaochen Wang China 37 2.6k 1.1× 1.1k 0.5× 707 0.5× 803 0.6× 1.6k 1.4× 204 5.3k
Haiyan Li China 40 2.7k 1.2× 1.2k 0.6× 715 0.5× 948 0.7× 1.3k 1.0× 270 5.8k
Qingyu Wu China 51 2.3k 1.0× 1.0k 0.5× 844 0.6× 1.0k 0.8× 1.1k 0.9× 233 7.7k

Countries citing papers authored by Peng Luo

Since Specialization
Citations

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

Fields of papers citing papers by Peng Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Luo. A scholar is included among the top collaborators of Peng Luo 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 Peng Luo. Peng Luo 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
2.
Liu, Zaoqu, Yuhao Ba, Dan Shan, et al.. (2025). THBS2-producing matrix CAFs promote colorectal cancer progression and link to poor prognosis via the CD47-MAPK axis. Cell Reports. 44(4). 115555–115555. 4 indexed citations
3.
Lin, Anqi, Aimin Jiang, Li Chen, et al.. (2025). Large language models in clinical trials: applications, technical advances, and future directions. BMC Medicine. 23(1). 563–563. 1 indexed citations
4.
Jiang, Aimin, Weiming Mou, Dongqiang Zeng, et al.. (2025). Temporal evolution of large language models (LLMs) in oncology. Journal of Translational Medicine. 23(1). 1219–1219.
5.
Ren, Yuqing, Yi Yue, Xinyang Li, et al.. (2024). Proteogenomics offers a novel avenue in neoantigen identification for cancer immunotherapy. International Immunopharmacology. 142(Pt A). 113147–113147. 7 indexed citations
7.
Jiang, Aimin, Wenqiang Liu, Qiwei Yang, et al.. (2024). TDERS, an exosome RNA-derived signature predicts prognosis and immunotherapeutic response in clear cell renal cell cancer: a multicohort study. SHILAP Revista de lepidopterología. 4(4). 382–394. 3 indexed citations
8.
Lin, Weiyin, Hong Yang, Xia Yang, et al.. (2024). OralExplorer: a web server for exploring the mechanisms of oral inflammatory diseases. Journal of Translational Medicine. 22(1). 1 indexed citations
9.
Zhang, Zhuoyuan, et al.. (2024). FBL Promotes LPS-Induced Neuroinflammation by Activating the NF-κB Signaling Pathway. Journal of Inflammation Research. Volume 17. 2217–2231. 4 indexed citations
10.
Dang, Qin, Zhaokai Zhou, Shuang Chen, et al.. (2024). Molecular subtypes of colorectal cancer in the era of precision oncotherapy: Current inspirations and future challenges. Cancer Medicine. 13(14). e70041–e70041. 5 indexed citations
11.
Jiang, Aimin, Jinxin Li, Ying Liu, et al.. (2024). Renal cancer: signaling pathways and advances in targeted therapies. SHILAP Revista de lepidopterología. 5(8). e676–e676. 9 indexed citations
12.
Wen, Jie, Hao Zhang, Nan Zhang, et al.. (2024). Large-scale genome-wide association studies reveal the genetic causal etiology between air pollutants and autoimmune diseases. Journal of Translational Medicine. 22(1). 392–392. 41 indexed citations
13.
Jiang, Aimin, Zi‐jun Xu, Xiao Fang, et al.. (2023). RNA modification pattern‐based subtypes reveal heterogenous clinical outcomes and tumor immunity of clear cell renal cell carcinoma. SHILAP Revista de lepidopterología. 2(1). 7 indexed citations
14.
Luo, Peng, Guojun Chen, Jin Yang, et al.. (2023). Comprehensive multi-omics analysis of tryptophan metabolism-related gene expression signature to predict prognosis in gastric cancer. Frontiers in Pharmacology. 14. 1267186–1267186. 4 indexed citations
15.
Qu, Chunfeng, Rongxin He, Wanyin Hou, et al.. (2023). Global burden of neoplasms attributable to specific occupational carcinogens over 30 years: a population-based study. Public Health. 223. 145–155. 1 indexed citations
16.
Xia, Kai, Fulin Wang, Suyuan Zhang, et al.. (2023). Precise Correction of Lhcgr Mutation in Stem Leydig Cells by Prime Editing Rescues Hereditary Primary Hypogonadism in Mice. Advanced Science. 10(29). e2300993–e2300993. 12 indexed citations
17.
Xiang, Guangheng, et al.. (2023). A nomogram for prediction of deep venous thrombosis risk in elderly femoral intertrochanteric fracture patients: A dual-center retrospective study. Frontiers in Surgery. 9. 1028859–1028859. 2 indexed citations
18.
Zhang, Nan, Hao Zhang, Zaoqu Liu, et al.. (2023). An artificial intelligence network‐guided signature for predicting outcome and immunotherapy response in lung adenocarcinoma patients based on 26 machine learning algorithms. Cell Proliferation. 56(4). e13409–e13409. 46 indexed citations
19.
Zhou, Chaozheng, et al.. (2023). Profiles of immune infiltration in seasonal allergic rhinitis and related genes and pathways. International Immunopharmacology. 120. 110174–110174. 2 indexed citations
20.
Lin, Anqi, Ting Wei, Mengyao Li, et al.. (2022). CAMOIP: a web server for comprehensive analysis on multi-omics of immunotherapy in pan-cancer. Briefings in Bioinformatics. 23(3). 88 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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