Fujun Qiu

884 total citations
21 papers, 192 citations indexed

About

Fujun Qiu is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Fujun Qiu has authored 21 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Cancer Research and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Fujun Qiu's work include Cancer Genomics and Diagnostics (10 papers), RNA modifications and cancer (7 papers) and Cancer-related molecular mechanisms research (5 papers). Fujun Qiu is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), RNA modifications and cancer (7 papers) and Cancer-related molecular mechanisms research (5 papers). Fujun Qiu collaborates with scholars based in China, United Kingdom and United States. Fujun Qiu's co-authors include Yan Xu, Yuanshuai Zhou, Yongjing Liu, Rui Zhang, Kening Li, Desi Shang, Zhiqiang Chang, Zihui Li, Zhihong Zhang and Shannon Chuai and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Cell.

In The Last Decade

Fujun Qiu

20 papers receiving 187 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fujun Qiu China 7 119 111 51 33 23 21 192
Mona Teng Canada 5 65 0.5× 130 1.2× 62 1.2× 28 0.8× 19 0.8× 8 189
Miguel García-Pardo Canada 6 83 0.7× 63 0.6× 86 1.7× 67 2.0× 9 0.4× 22 159
Dongkai Wei China 3 75 0.6× 84 0.8× 52 1.0× 32 1.0× 6 0.3× 3 136
Samir Lal Australia 4 57 0.5× 68 0.6× 27 0.5× 41 1.2× 10 0.4× 4 115
Katrin Heider United Kingdom 6 101 0.8× 85 0.8× 52 1.0× 44 1.3× 6 0.3× 12 155
Felipe Villegas‐Carlos Mexico 9 102 0.9× 105 0.9× 26 0.5× 23 0.7× 27 1.2× 12 167
Alberto Sogari Italy 4 68 0.6× 66 0.6× 24 0.5× 51 1.5× 14 0.6× 7 133
Shucai Zhang China 9 49 0.4× 110 1.0× 36 0.7× 61 1.8× 12 0.5× 16 159
Linjie Hong China 7 74 0.6× 123 1.1× 40 0.8× 36 1.1× 10 0.4× 13 168
Luke Martinson United Kingdom 2 91 0.8× 54 0.5× 23 0.5× 50 1.5× 7 0.3× 5 114

Countries citing papers authored by Fujun Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Fujun Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fujun Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Fujun Qiu. A scholar is included among the top collaborators of Fujun 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 Fujun Qiu. Fujun Qiu 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.
Wang, Binghua, et al.. (2025). In situ vaccine “seeds” for enhancing cancer immunotherapy by exploiting apoptosis-associated morphological changes. Journal of Controlled Release. 379. 757–767. 1 indexed citations
2.
3.
Chen, Kezhong, Fan Yang, Olga Chervova, et al.. (2023). Individualized tumor-informed circulating tumor DNA analysis for postoperative monitoring of non-small cell lung cancer. Cancer Cell. 41(10). 1749–1762.e6. 54 indexed citations
4.
Wang, Xuefei, Zhaoqing Tang, Yanan Wang, et al.. (2023). Comparison of multi-omics biomarkers via liquid biopsy in early detection of gastric cancer.. Journal of Clinical Oncology. 41(16_suppl). e16066–e16066. 1 indexed citations
5.
6.
Li, Bingsi, Jing Su, Guangliang Zhang, et al.. (2022). Abstract 5116: Analytical performance of ELSA-seq, a blood-based test for early detection of multiple cancers. Cancer Research. 82(12_Supplement). 5116–5116. 1 indexed citations
7.
Gao, Qiang, Bingsi Li, Shangli Cai, et al.. (2021). Early detection and localization of multiple cancers using a blood-based methylation assay (ELSA-seq).. Journal of Clinical Oncology. 39(3_suppl). 459–459. 4 indexed citations
8.
Gao, Qiang, Jiayue Xu, Fujun Qiu, et al.. (2020). LBA3 Early detection and localization of multiple cancers using a blood-based methylation assay (ELSA-seq). Annals of Oncology. 31. S1358–S1358. 6 indexed citations
9.
Li, Ning, Yu Zhang, Xin Zhu, et al.. (2020). Abstract 2302: Methylation profiling of circulating tumor DNA for the detection of ovarian cancer. Cancer Research. 80(16_Supplement). 2302–2302. 1 indexed citations
10.
Li, Bingsi, Chenyang Wang, Jiayue Xu, et al.. (2020). Abstract A06: Multiplatform analysis of early-stage cancer signatures in blood. Clinical Cancer Research. 26(11_Supplement). A06–A06. 5 indexed citations
11.
Liang, Naixin, Bingsi Li, Chenyang Wang, et al.. (2019). Abstract 816: DNA methylation profiling from circulating tumor DNA for early diagnosis of non-small cell lung cancer. Cancer Research. 79(13_Supplement). 816–816. 1 indexed citations
12.
Li, Kening, Yong‐Jin Liu, Yuanshuai Zhou, et al.. (2015). An integrated approach to reveal miRNAs’ impacts on the functional consequence of copy number alterations in cancer. Scientific Reports. 5(1). 11567–11567. 7 indexed citations
13.
Zhao, Ning, Yongjing Liu, Zhiqiang Chang, et al.. (2015). Identification of Biomarker and Co-Regulatory Motifs in Lung Adenocarcinoma Based on Differential Interactions. PLoS ONE. 10(9). e0139165–e0139165. 4 indexed citations
14.
Zhou, Yuanshuai, Yongjing Liu, Rui Zhang, et al.. (2015). ICan: An Integrated Co-Alteration Network to Identify Ovarian Cancer-Related Genes. PLoS ONE. 10(3). e0116095–e0116095. 8 indexed citations
15.
Cui, Shumei, et al.. (2015). Simulation of a Novel HEV Powertrain Based on EVT with Dual Clutches by Using EMR. 1. 1–5. 2 indexed citations
16.
Liu, Yongjing, Rui Zhang, Fujun Qiu, et al.. (2014). Construction of a lncRNA–PCG bipartite network and identification of cancer-related lncRNAs: a case study in prostate cancer. Molecular BioSystems. 11(2). 384–393. 29 indexed citations
17.
Li, Kening, Zihui Li, Ning Zhao, et al.. (2013). Functional analysis of microRNA and transcription factor synergistic regulatory network based on identifying regulatory motifs in non-small cell lung cancer. BMC Systems Biology. 7(1). 122–122. 23 indexed citations
18.
Qiu, Fujun, Yan Xu, Kening Li, et al.. (2012). CNVD: Text mining-based copy number variation in disease database. Human Mutation. 33(11). E2375–E2381. 23 indexed citations
19.
Chang, Zhiqiang, Zhiyang Li, Zihui Li, et al.. (2012). Calculating phenotypic similarity between genes using hierarchical structure data based on semantic similarity. Gene. 497(1). 58–65. 2 indexed citations
20.
Xu, Yan, Zhiqiang Chang, Zhiyang Li, et al.. (2011). The application of gene co-expression network reconstruction based on CNVs and gene expression microarray data in breast cancer. Molecular Biology Reports. 39(2). 1627–1637. 15 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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