Longke Ran

599 total citations
23 papers, 427 citations indexed

About

Longke Ran is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Longke Ran has authored 23 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Cancer Research and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Longke Ran's work include Cancer-related molecular mechanisms research (11 papers), Ferroptosis and cancer prognosis (9 papers) and RNA modifications and cancer (9 papers). Longke Ran is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), Ferroptosis and cancer prognosis (9 papers) and RNA modifications and cancer (9 papers). Longke Ran collaborates with scholars based in China and United States. Longke Ran's co-authors include Wanfeng Zhang, Jing Song, Fangzhou Song, Kun Liu, Xianqin Zhang, Sen Wang, Shixiong Deng, Guang Li, Xian Li and Wei Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Longke Ran

23 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Longke Ran China	13	277	231	121	49	49	23	427
Hiroko Deguchi Miyamoto Japan	7	216 0.8×	112 0.5×	138 1.1×	41 0.8×	24 0.5×	10	351
Yong Xie China	12	232 0.8×	192 0.8×	57 0.5×	43 0.9×	43 0.9×	14	366
James Iremonger United Kingdom	8	256 0.9×	137 0.6×	229 1.9×	20 0.4×	27 0.6×	12	443
Xijuan Zhao China	14	383 1.4×	216 0.9×	216 1.8×	23 0.5×	29 0.6×	22	497
Zsuzsanna Mihály Hungary	8	194 0.7×	98 0.4×	107 0.9×	84 1.7×	26 0.5×	28	358
Bilge Aktaş Türkiye	9	268 1.0×	186 0.8×	72 0.6×	155 3.2×	75 1.5×	20	505
Yann Christinat Switzerland	10	227 0.8×	129 0.6×	87 0.7×	84 1.7×	34 0.7×	21	376
Anna Szałkowska Poland	8	199 0.7×	144 0.6×	90 0.7×	28 0.6×	25 0.5×	10	334
Ming Cui China	11	196 0.7×	178 0.8×	70 0.6×	37 0.8×	16 0.3×	19	319

Countries citing papers authored by Longke Ran

Since Specialization

Citations

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

Fields of papers citing papers by Longke Ran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longke Ran

This figure shows the co-authorship network connecting the top 25 collaborators of Longke Ran. A scholar is included among the top collaborators of Longke Ran 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 Longke Ran. Longke Ran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lan, Jie, Jing Huang, Weiyi Li, et al.. (2025). MoLPre: A Machine Learning Model to Predict Metastasis of cT1 Solid Lung Cancer. Clinical and Translational Science. 18(4). e70186–e70186. 1 indexed citations

Zhang, Wentao, et al.. (2023). Magnetic resonance imaging and deoxyribonucleic acid methylation–based radiogenomic models for survival risk stratification of glioblastoma. Medical & Biological Engineering & Computing. 62(3). 853–864. 3 indexed citations

Ran, Longke, et al.. (2023). Ferroptosis-associated lncRNA prognostic signature predicts prognosis and immune response in clear cell renal cell carcinoma. Scientific Reports. 13(1). 2114–2114. 17 indexed citations

Li, Guang, et al.. (2022). Classification prediction of early pulmonary nodes based on weighted gene correlation network analysis and machine learning. Journal of Cancer Research and Clinical Oncology. 149(7). 3915–3924. 1 indexed citations

Song, Jing, et al.. (2022). Integrated bioinformatics analysis to identify the key gene associated with metastatic clear cell renal cell carcinoma. Medical Oncology. 39(9). 128–128. 3 indexed citations

Zhang, Wanfeng, et al.. (2022). The clonal expression genes associated with poor prognosis of liver cancer. Frontiers in Genetics. 13. 808273–808273. 2 indexed citations

Li, Guang, et al.. (2022). Expression profile of radiotherapy sensitive genes and tumor-associated immune cell infiltration and prognosis in multiple human cancers. SHILAP Revista de lepidopterología. 15(3). 5–11. 1 indexed citations

Song, Jing, et al.. (2021). Pan-Cancer Analysis Reveals the Signature of TMC Family of Genes as a Promising Biomarker for Prognosis and Immunotherapeutic Response. Frontiers in Immunology. 12. 715508–715508. 13 indexed citations

Wang, Aixiang, Longke Ran, Wanfeng Zhang, et al.. (2019). ARHGEF38 as a novel biomarker to predict aggressive prostate cancer. Genes & Diseases. 7(2). 217–224. 6 indexed citations

10.

Li, Xin, Wanfeng Zhang, Jing Song, et al.. (2019). SLCO4C1 promoter methylation is a potential biomarker for prognosis associated with biochemical recurrence-free survival after radical prostatectomy. Clinical Epigenetics. 11(1). 99–99. 9 indexed citations

11.

Zhang, Wanfeng, Sen Wang, Xianqin Zhang, et al.. (2019). Transmembrane Channel-Like 5 (TMC5) promotes prostate cancer cell proliferation through cell cycle regulation. Biochimie. 165. 115–122. 16 indexed citations

12.

Wang, Sen, Longke Ran, Wanfeng Zhang, et al.. (2019). FOXS1 is regulated by GLI1 and miR-125a-5p and promotes cell proliferation and EMT in gastric cancer. Scientific Reports. 9(1). 5281–5281. 24 indexed citations

13.

Song, Jing, et al.. (2019). A seven‐DNA methylation signature as a novel prognostic biomarker in breast cancer. Journal of Cellular Biochemistry. 121(3). 2385–2393. 20 indexed citations

14.

Song, Jing, et al.. (2019). Identification of Long Non-Coding RNA Signatures for Specific Disease-Free Prognosis in Clear Cell Renal Carcinoma. IEEE Access. 7. 99290–99298. 3 indexed citations

15.

Wang, Hao, Youde Cao, Ying Zhu, et al.. (2019). Long non‐coding RNA (lncRNA) H19 induces hepatic steatosis through activating MLXIPL and mTORC1 networks in hepatocytes. Journal of Cellular and Molecular Medicine. 24(2). 1399–1412. 69 indexed citations

16.

Zhang, Wanfeng, Peng Shu, Sen Wang, et al.. (2018). ZNF154 is a promising diagnosis biomarker and predicts biochemical recurrence in prostate cancer. Gene. 675. 136–143. 15 indexed citations

17.

Zhao, Jianquan, Tiewei Lv, Weian Zhao, et al.. (2018). Identification of target genes in cardiomyopathy with fibrosis and cardiac remodeling. Journal of Biomedical Science. 25(1). 63–63. 50 indexed citations

18.

Song, Jing, Wanfeng Zhang, Sen Wang, et al.. (2018). A panel of 7 prognosis-related long non-coding RNAs to improve platinum-based chemoresistance prediction in ovarian cancer. International Journal of Oncology. 53(2). 866–876. 29 indexed citations

19.

Li, Guang, et al.. (2017). Prediction of biomarkers of oral squamous cell carcinoma using microarray technology. Scientific Reports. 7(1). 42105–42105. 52 indexed citations

20.

Hu, Chengcheng, et al.. (2014). Identification of Prostate Cancer LncRNAs by RNA-Seq. Asian Pacific Journal of Cancer Prevention. 15(21). 9439–9444. 13 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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