Lingyu Qi

667 total citations
19 papers, 415 citations indexed

About

Lingyu Qi is a scholar working on Cancer Research, Molecular Biology and Complementary and alternative medicine. According to data from OpenAlex, Lingyu Qi has authored 19 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cancer Research, 9 papers in Molecular Biology and 5 papers in Complementary and alternative medicine. Recurrent topics in Lingyu Qi's work include Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (6 papers) and MicroRNA in disease regulation (5 papers). Lingyu Qi is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (6 papers) and MicroRNA in disease regulation (5 papers). Lingyu Qi collaborates with scholars based in China and South Korea. Lingyu Qi's co-authors include Changgang Sun, Yan Yao, Tingting Zhang, Ruijuan Liu, Fubin Feng, Jing‐Wen Yang, Cun‐Zhi Liu, Xin-Tong Su, Lu‐Lu Lin and Chao Zhou and has published in prestigious journals such as Gene, Journal of Cellular Physiology and Journal of Cellular Biochemistry.

In The Last Decade

Lingyu Qi

19 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lingyu Qi China	12	219	174	104	49	46	19	415
Xianyi Lin China	11	180 0.8×	107 0.6×	18 0.2×	47 1.0×	80 1.7×	16	572
Hsun‐Hua Lee Taiwan	12	150 0.7×	51 0.3×	20 0.2×	39 0.8×	29 0.6×	35	326
Lining Duan China	8	160 0.7×	108 0.6×	38 0.4×	177 3.6×	14 0.3×	19	410
Ting Zheng China	13	135 0.6×	59 0.3×	15 0.1×	34 0.7×	109 2.4×	49	421
Shaowei Liu China	12	134 0.6×	52 0.3×	22 0.2×	21 0.4×	62 1.3×	34	325
Hongru Zhang China	10	152 0.7×	51 0.3×	86 0.8×	48 1.0×	24 0.5×	35	350
Yingmao Gao China	9	137 0.6×	22 0.1×	22 0.2×	14 0.3×	64 1.4×	20	349
Zhiping Dong China	7	125 0.6×	52 0.3×	16 0.2×	20 0.4×	20 0.4×	7	373
Bingyu Zou China	11	305 1.4×	145 0.8×	40 0.4×	32 0.7×	33 0.7×	17	513

Countries citing papers authored by Lingyu Qi

Since Specialization

Citations

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

Fields of papers citing papers by Lingyu Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyu Qi

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

All Works

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19 of 19 papers shown

Tu, Jian‐Feng, Myeong Soo Lee, Lingyu Qi, et al.. (2022). Is acupuncture effective for knee osteoarthritis? A protocol for a systematic review and meta-analysis. BMJ Open. 12(1). e052270–e052270. 9 indexed citations

Yang, Nana, Lu‐Lu Lin, Xin-Tong Su, et al.. (2022). Potential Mechanisms of Acupuncture for Functional Dyspepsia Based on Pathophysiology. Frontiers in Neuroscience. 15. 781215–781215. 15 indexed citations

Yang, Nana, et al.. (2022). [Research progress of acupuncture for peripheral inflammatory response].. PubMed. 42(9). 1078–82. 4 indexed citations

Qi, Lingyu, Jing‐Wen Yang, Shiyan Yan, et al.. (2022). Acupuncture for the Treatment of Diarrhea-Predominant Irritable Bowel Syndrome. JAMA Network Open. 5(12). e2248817–e2248817. 29 indexed citations

Yao, Yan, Tingting Zhang, Lingyu Qi, et al.. (2021). Identification of Four Genes as Prognosis Signatures in Lung Adenocarcinoma Microenvironment. Pharmacogenomics and Personalized Medicine. Volume 14. 15–26. 6 indexed citations

Yang, Nana, Jing‐Wen Yang, Ye Yang, et al.. (2021). Electroacupuncture ameliorates intestinal inflammation by activating α7nAChR-mediated JAK2/STAT3 signaling pathway in postoperative ileus. Theranostics. 11(9). 4078–4089. 131 indexed citations

Shao, Jia‐Kai, Qian Liu, Wei Pei, et al.. (2021). Electroacupuncture for postoperative ileus after laparoscopic surgery on colorectal cancer: study protocol for a randomized controlled trial. Trials. 22(1). 610–610. 5 indexed citations

Yao, Yan, Tingting Zhang, Lingyu Qi, et al.. (2020). Comprehensive analysis of prognostic biomarkers in lung adenocarcinoma based on aberrant lncRNA–miRNA–mRNA networks and Cox regression models. Bioscience Reports. 40(1). 17 indexed citations

Feng, Fubin, Tingting Zhang, Cun Liu, et al.. (2019). <p>Efficacy and safety of targeted therapy for metastatic HER2-positive breast cancer in the first-line treatment: a Bayesian network meta-analysis</p>. OncoTargets and Therapy. Volume 12. 959–974. 6 indexed citations

10.

Qi, Lingyu, Yan Yao, Tingting Zhang, et al.. (2019). A four-mRNA model to improve the prediction of breast cancer prognosis. Gene. 721. 144100–144100. 15 indexed citations

11.

Yao, Yan, Ruijuan Liu, Chundi Gao, et al.. (2019). Identification of prognostic biomarkers for breast cancer based on miRNA and mRNA co‐expression network. Journal of Cellular Biochemistry. 120(9). 15378–15388. 12 indexed citations

12.

Yao, Yan, Tingting Zhang, Lingyu Qi, et al.. (2019). Integrated analysis of co‐expression and ceRNA network identifies five lncRNAs as prognostic markers for breast cancer. Journal of Cellular and Molecular Medicine. 23(12). 8410–8419. 54 indexed citations

13.

Yao, Yan, Tingting Zhang, Lingyu Qi, et al.. (2019). Competitive Endogenous RNA Network Construction and Comparison of Lung Squamous Cell Carcinoma in Smokers and Nonsmokers. Disease Markers. 2019. 1–14. 15 indexed citations

14.

Zhang, Tingting, Fubin Feng, Lingyu Qi, et al.. (2019). Efficacy and acceptability of neoadjuvant endocrine therapy in patients with hormone receptor‐positive breast cancer: A network meta‐analysis. Journal of Cellular Physiology. 234(8). 12393–12403. 8 indexed citations

15.

Qi, Lingyu, Tingting Zhang, Yan Yao, et al.. (2019). Identification of lncRNAs associated with lung squamous cell carcinoma prognosis in the competitive endogenous RNA network. PeerJ. 7. e7727–e7727. 19 indexed citations

16.

Qi, Lingyu, Chundi Gao, Fubin Feng, et al.. (2019). MicroRNAs associated with lung squamous cell carcinoma: New prognostic biomarkers and therapeutic targets. Journal of Cellular Biochemistry. 120(11). 18956–18966. 33 indexed citations

17.

Li, Jie, Chundi Gao, Cun Liu, et al.. (2019). Four lncRNAs associated with breast cancer prognosis identified by coexpression network analysis. Journal of Cellular Physiology. 234(8). 14019–14030. 20 indexed citations

18.

Zhang, Tingting, Yan Yao, Fubin Feng, et al.. (2018). Comparative effectiveness of different chemotherapy regimens of advanced-stage Hodgkin lymphoma in adults: a network meta-analysis. Cancer Management and Research. Volume 10. 6017–6028. 1 indexed citations

19.

Li, Jia, Ruijuan Liu, Fubin Feng, et al.. (2018). The effect of long noncoding RNAs HOX transcript antisense intergenic RNA single‐nucleotide polymorphisms on breast cancer, cervical cancer, and ovarian cancer susceptibility: A meta‐analysis. Journal of Cellular Biochemistry. 120(5). 7056–7067. 16 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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