Ruilong Lan

717 total citations
31 papers, 512 citations indexed

About

Ruilong Lan is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Ruilong Lan has authored 31 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Oncology and 10 papers in Immunology. Recurrent topics in Ruilong Lan's work include Cancer Cells and Metastasis (5 papers), Immunotherapy and Immune Responses (4 papers) and Immune Cell Function and Interaction (4 papers). Ruilong Lan is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Immunotherapy and Immune Responses (4 papers) and Immune Cell Function and Interaction (4 papers). Ruilong Lan collaborates with scholars based in China, United States and Hong Kong. Ruilong Lan's co-authors include Fei Huang, Kunmei Lai, Yanfang Xu, Lurong Zhang, Junying Chen, Jianhua Lin, Jinsheng Hong, Ruiqing Chen, Zhimin Chen and Zhenhuan Zou and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Cell Death and Differentiation and Frontiers in Immunology.

In The Last Decade

Ruilong Lan

30 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruilong Lan China 13 251 98 78 74 68 31 512
Haibing Wang China 11 294 1.2× 85 0.9× 59 0.8× 44 0.6× 50 0.7× 25 433
Yongjun Zhu China 17 317 1.3× 109 1.1× 93 1.2× 80 1.1× 31 0.5× 43 619
Xiaomei Li China 16 182 0.7× 40 0.4× 53 0.7× 78 1.1× 51 0.8× 61 691
Qi Gao China 18 511 2.0× 70 0.7× 101 1.3× 232 3.1× 42 0.6× 30 806
Zhi Zuo China 14 181 0.7× 47 0.5× 34 0.4× 77 1.0× 29 0.4× 43 501
Yue Qiu China 16 404 1.6× 55 0.6× 78 1.0× 215 2.9× 26 0.4× 57 690
Kaiqi Zhang China 11 228 0.9× 33 0.3× 25 0.3× 60 0.8× 32 0.5× 28 440
Suzhen Wu China 11 285 1.1× 46 0.5× 87 1.1× 25 0.3× 48 0.7× 27 466
Inho Kim South Korea 14 489 1.9× 42 0.4× 82 1.1× 37 0.5× 93 1.4× 53 773

Countries citing papers authored by Ruilong Lan

Since Specialization
Citations

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

Fields of papers citing papers by Ruilong Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruilong Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Ruilong Lan. A scholar is included among the top collaborators of Ruilong Lan 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 Ruilong Lan. Ruilong Lan 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.
Ye, Keng, Ruilong Lan, Kunmei Lai, et al.. (2025). Roles of ACSL4/GPX4 and FSP1 in oxalate-induced acute kidney injury. Cell Death Discovery. 11(1). 279–279. 1 indexed citations
2.
Chen, Junying, Ruilong Lan, Zeng Wang, et al.. (2025). A CCR5 antagonist enhances the radiosensitivity of hepatocarcinoma in a mouse model. Journal of Radiation Research. 66(4). 396–407.
3.
Zhang, Na, Ruilong Lan, Yingyu Chen, & Jianda Hu. (2024). Identification of KDM4C as a gene conferring drug resistance in multiple myeloma. Open Life Sciences. 19(1). 20220848–20220848. 2 indexed citations
4.
Wang, Caihong, Chun Chen, Mingwei Zhang, et al.. (2023). Glycyrrhetinic Acid Mitigates Radiation-Induced Pulmonary Fibrosis via Inhibiting the Secretion of TGF-β1 by Treg Cells. International Journal of Radiation Oncology*Biology*Physics. 118(1). 218–230. 8 indexed citations
5.
Wang, Caihong, Zeng Wang, Ruilong Lan, et al.. (2023). A Subset of Breg Cells, B10, Contributes to the Development of Radiation-Induced Pulmonary Fibrosis. International Journal of Radiation Oncology*Biology*Physics. 117(1). 237–251. 1 indexed citations
6.
Yuan, Ying, et al.. (2023). Single-cell sequencing reveals homogeneity and heterogeneity of the cytopathological mechanisms in different etiology-induced AKI. Cell Death and Disease. 14(5). 318–318. 30 indexed citations
7.
Chen, Zhimin, et al.. (2022). Bioinformatics analysis of potential pathogenesis and risk genes of immunoinflammation-promoted renal injury in severe COVID-19. Frontiers in Immunology. 13. 950076–950076. 8 indexed citations
8.
Huang, Rui, Yuliang Cao, Shan Qin, et al.. (2022). Ultra-high N-doped open hollow carbon nano-cage with excellent Na+ and K+ storage performances. Materials Today Nano. 18. 100217–100217. 25 indexed citations
9.
Chen, Zhimin, et al.. (2021). Prioritization of Diagnostic and Prognostic Biomarkers for Lupus Nephritis Based on Integrated Bioinformatics Analyses. Frontiers in Bioengineering and Biotechnology. 9. 717234–717234. 14 indexed citations
10.
Huang, Fei, Yaqiang Cao, Caihong Wang, et al.. (2021). PNMA5 Promotes Bone Metastasis of Non-small-Cell Lung Cancer as a Target of BMP2 Signaling. Frontiers in Cell and Developmental Biology. 9. 678931–678931. 12 indexed citations
11.
Wang, Zeng, et al.. (2019). MiR-223 protects mice from acute radiation-induced lung injury by inhibiting NLRP3. Zhonghua fangshe yixue yu fanghu zazhi. 39(3). 166–171. 2 indexed citations
13.
Chen, Ruiqing, Zeng Wang, Ruilong Lan, et al.. (2018). Influence of POLG on Radiosensitivity of Nasopharyngeal Carcinoma Cells. Cancer Biotherapy and Radiopharmaceuticals. 33(4). 146–154. 1 indexed citations
14.
Huang, Fei, et al.. (2018). Hypoxia induced δ-Catenin to enhance mice hepatocellular carcinoma progression via Wnt signaling. Experimental Cell Research. 374(1). 94–103. 13 indexed citations
15.
Su, Li, Zeng Wang, Fei Huang, et al.. (2018). 18β-Glycyrrhetinic acid mitigates radiation-induced skin damage via NADPH oxidase/ROS/p38MAPK and NF-κB pathways. Environmental Toxicology and Pharmacology. 60. 82–90. 38 indexed citations
16.
Xu, Weifeng, Bing Wu, Junying Chen, et al.. (2017). Comparison of three different methods for the detection of circulating tumor cells in mice with lung metastasis. Oncology Reports. 37(6). 3219–3226. 13 indexed citations
17.
Hong, Jinsheng, Ruilong Lan, Qi Tan, et al.. (2017). TLR9 mediated regulatory B10 cell amplification following sub-total body irradiation: Implications in attenuating EAE. Molecular Immunology. 83. 52–61. 11 indexed citations
18.
Huang, Fei, et al.. (2017). δ-Catenin promotes tumorigenesis and metastasis of lung adenocarcinoma. Oncology Reports. 39(2). 809–817. 23 indexed citations
19.
Lan, Ruilong, et al.. (2016). Verification of TREX1 as a promising indicator of judging the prognosis of osteosarcoma. Journal of Orthopaedic Surgery and Research. 11(1). 150–150. 7 indexed citations
20.
Chen, Ruiqing, Ruilong Lan, Zhaoyang Wu, et al.. (2014). Potential toxicity of quercetin: The repression of mitochondrial copy number via decreased POLG expression and excessive TFAM expression in irradiated murine bone marrow. Toxicology Reports. 1. 450–458. 55 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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