Shengcan Chen

1.5k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Shengcan Chen is a scholar working on Molecular Biology, Cancer Research and Nature and Landscape Conservation. According to data from OpenAlex, Shengcan Chen has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cancer Research and 1 paper in Nature and Landscape Conservation. Recurrent topics in Shengcan Chen's work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (4 papers) and RNA modifications and cancer (3 papers). Shengcan Chen is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (4 papers) and RNA modifications and cancer (3 papers). Shengcan Chen collaborates with scholars based in China and Bahrain. Shengcan Chen's co-authors include Junming Guo, Yongfu Shao, Peifei Li, Bingxiu Xiao, Huilin Chen, Tianwen Li, Xiaoyan Mo, Xiaoming Jiang, Tian Xia and Zhen Jiang and has published in prestigious journals such as Scientific Reports, Clinica Chimica Acta and Biomedicine & Pharmacotherapy.

In The Last Decade

Shengcan Chen

8 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Using circular RNA as a novel type of biomarker in the screening of gastric cancer

2015 652 citations Peifei Li, Shengcan Chen et al. Clinica Chimica Acta profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shengcan Chen China	8	938	911	49	43	43	8	1.1k
Binbin Guo China	9	516 0.6×	410 0.5×	25 0.5×	9 0.2×	34 0.8×	19	656
Jingyu Pan China	14	320 0.3×	266 0.3×	20 0.4×	111 2.6×	32 0.7×	27	561
Alexandra C. Title Switzerland	7	398 0.4×	352 0.4×	37 0.8×	6 0.1×	16 0.4×	10	504
Masazumi Sakaguchi Japan	11	339 0.4×	239 0.3×	55 1.1×	110 2.6×	30 0.7×	37	676
Xue He China	10	444 0.5×	189 0.2×	23 0.5×	10 0.2×	11 0.3×	25	530
Ganesan Arunkumar India	14	561 0.6×	460 0.5×	35 0.7×	3 0.1×	21 0.5×	29	711
Boseon Kim South Korea	7	670 0.7×	436 0.5×	17 0.3×	3 0.1×	19 0.4×	10	767

Countries citing papers authored by Shengcan Chen

Since Specialization

Citations

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

Fields of papers citing papers by Shengcan Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengcan Chen

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

All Works

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8 of 8 papers shown

1.

Zhang, Zonghang, et al.. (2021). A Comparative Study on Two Territorial Fishes: The Influence of Physical Enrichment on Aggressive Behavior. Animals. 11(7). 1868–1868. 23 indexed citations

2.

Chen, Huiling, Ling Zhang, Peifei Li, et al.. (2016). Sargassum fusiforme polysaccharides inhibit VEGF-A-related angiogenesis and proliferation of lung cancer in vitro and in vivo. Biomedicine & Pharmacotherapy. 85. 22–27. 57 indexed citations

3.

Xia, Tian, Shengcan Chen, Zhen Jiang, et al.. (2015). Long noncoding RNA FER1L4 suppresses cancer cell growth by acting as a competing endogenous RNA and regulating PTEN expression. Scientific Reports. 5(1). 13445–13445. 128 indexed citations

4.

Ding, Xiaoyun, Shengcan Chen, Haojun Song, et al.. (2015). The functional sites of miRNAs and lncRNAs in gastric carcinogenesis. Tumor Biology. 36(2). 521–532. 52 indexed citations

5.

Li, Peifei, Shengcan Chen, Huilin Chen, et al.. (2015). Using circular RNA as a novel type of biomarker in the screening of gastric cancer. Clinica Chimica Acta. 444. 132–136. 652 indexed citations breakdown →

6.

Ding, Xiaoyun, Haojun Song, Ying Fang, et al.. (2015). The clinical value of ncRNAs in gastric cancer: a systematic review and meta-analyses. Tumor Biology. 36(6). 4017–4025. 8 indexed citations

7.

Shao, Yongfu, Huilin Chen, Xiaoming Jiang, et al.. (2014). Low expression of lncRNA-HMlincRNA717 in human gastric cancer and its clinical significances. Tumor Biology. 35(10). 9591–9595. 57 indexed citations

8.

Liu, Zhong, et al.. (2014). Clinical significance of the low expression of FER1L4 in gastric cancer patients. Tumor Biology. 35(10). 9613–9617. 89 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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