Shili Qiu

605 total citations
10 papers, 469 citations indexed

About

Shili Qiu is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Shili Qiu has authored 10 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cancer Research and 1 paper in Infectious Diseases. Recurrent topics in Shili Qiu's work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (6 papers) and MicroRNA in disease regulation (4 papers). Shili Qiu is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (6 papers) and MicroRNA in disease regulation (4 papers). Shili Qiu collaborates with scholars based in China. Shili Qiu's co-authors include Jiancheng Tu, Hu Zhou, Mingxia Yu, Chunzi Liang, Jing Wei, Xianwei Zhang, Ping Luo, Shanshan Chen, Qian Tan and Man Zhu and has published in prestigious journals such as Clinical Infectious Diseases, BioMed Research International and International Journal of Oncology.

In The Last Decade

Shili Qiu

10 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shili Qiu China	9	329	312	70	51	26	10	469
Yanfeng Pan China	9	164 0.5×	179 0.6×	46 0.7×	36 0.7×	30 1.2×	22	313
Feng Du China	9	164 0.5×	229 0.7×	43 0.6×	20 0.4×	73 2.8×	13	364
Haili Gao China	7	250 0.8×	284 0.9×	17 0.2×	53 1.0×	31 1.2×	20	364
Sanyun Wu China	8	82 0.2×	130 0.4×	45 0.6×	51 1.0×	48 1.8×	20	296
Weinan Lai China	9	118 0.4×	213 0.7×	39 0.6×	21 0.4×	35 1.3×	26	354
Zhihui Dai China	10	261 0.8×	373 1.2×	12 0.2×	39 0.8×	40 1.5×	17	485
Emi Hamano Japan	9	116 0.4×	184 0.6×	53 0.8×	47 0.9×	22 0.8×	11	429
A. Rainey Australia	2	157 0.5×	272 0.9×	27 0.4×	54 1.1×	91 3.5×	2	379
Chengfeng Wang China	5	423 1.3×	422 1.4×	5 0.1×	78 1.5×	40 1.5×	9	539
Erica K. Barnell United States	10	82 0.2×	107 0.3×	27 0.4×	31 0.6×	108 4.2×	25	296

Countries citing papers authored by Shili Qiu

Since Specialization

Citations

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

Fields of papers citing papers by Shili Qiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shili Qiu

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

All Works

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10 of 10 papers shown

Huang, Jingtao, Zhihua Lv, Lina Feng, et al.. (2020). Chronological Changes of Viral Shedding in Adult Inpatients With COVID-19 in Wuhan, China. Clinical Infectious Diseases. 71(16). 2158–2166. 88 indexed citations

Ming, Xinliang, Shili Qiu, Xuefang Liu, et al.. (2019). Prognostic Role of Tenascin-C for Cancer Outcome: A Meta-Analysis. Technology in Cancer Research & Treatment. 18. 1077088754–1077088754. 8 indexed citations

Zhang, Xianwei, Hu Zhou, Jing Wei, et al.. (2018). The Circular RNA hsa_circ_0001445 Regulates the Proliferation and Migration of Hepatocellular Carcinoma and May Serve as a Diagnostic Biomarker. Disease Markers. 2018. 1–9. 86 indexed citations

Zhang, Xianwei, Shili Qiu, Ping Luo, et al.. (2018). Down-regulation of hsa_circ_0001649 in hepatocellular carcinoma predicts a poor prognosis. Cancer Biomarkers. 22(1). 135–142. 49 indexed citations

Zhu, Man, Shili Qiu, Xianwei Zhang, et al.. (2017). The associations between CYP24A1 polymorphisms and cancer susceptibility: A meta-analysis and trial sequential analysis. Pathology - Research and Practice. 214(1). 53–63. 12 indexed citations

Tan, Qian, Yalan Yu, Nandi Li, et al.. (2017). Identification of long non-coding RNA 00312 and 00673 in human NSCLC tissues. Molecular Medicine Reports. 16(4). 4721–4729. 15 indexed citations

Tan, Qian, Shili Qiu, Yalan Yu, et al.. (2017). Identification of circulating long non-coding RNA GAS5 as a potential biomarker for non-small cell lung cancer diagnosis. International Journal of Oncology. 50(5). 1729–1738. 50 indexed citations

Wei, Jing, Man Zhu, Xianwei Zhang, et al.. (2016). The Significance of Long Noncoding RNA H19 in Predicting Progression and Metastasis of Cancers: A Meta-Analysis. BioMed Research International. 2016. 1–9. 23 indexed citations

Zhou, Hu, Xinghuan Wang, Hao Chen, et al.. (2016). Increased expression of long-noncoding RNA ZFAS1 is associated with epithelial-mesenchymal transition of gastric cancer. Aging. 8(9). 2023–2038. 82 indexed citations

10.

Chen, Shanshan, Hao Chen, Shanshan Gao, et al.. (2016). Differential expression of plasma microRNA‐125b in hepatitis B virus‐related liver diseases and diagnostic potential for hepatitis B virus‐induced hepatocellular carcinoma. Hepatology Research. 47(4). 312–320. 56 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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