Desi Shang

1.4k total citations
61 papers, 898 citations indexed

About

Desi Shang is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Desi Shang has authored 61 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 27 papers in Cancer Research and 13 papers in Computational Theory and Mathematics. Recurrent topics in Desi Shang's work include RNA modifications and cancer (22 papers), Cancer-related molecular mechanisms research (21 papers) and Bioinformatics and Genomic Networks (20 papers). Desi Shang is often cited by papers focused on RNA modifications and cancer (22 papers), Cancer-related molecular mechanisms research (21 papers) and Bioinformatics and Genomic Networks (20 papers). Desi Shang collaborates with scholars based in China and Canada. Desi Shang's co-authors include Xia Li, Yanjun Xu, Chunquan Li, Junwei Han, Haixiu Yang, Chunlong Zhang, Qianlan Yao, Yunpeng Zhang, Zeguo Sun and Fei Su and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Desi Shang

57 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Desi Shang China 19 758 413 97 96 49 61 898
Baofeng Lian China 14 575 0.8× 317 0.8× 88 0.9× 108 1.1× 86 1.8× 27 837
Emilia L. Lim Canada 10 519 0.7× 225 0.5× 74 0.8× 93 1.0× 116 2.4× 15 809
Daniela Digles Austria 6 404 0.5× 91 0.2× 56 0.6× 128 1.3× 76 1.6× 13 618
Han Chu China 10 369 0.5× 261 0.6× 226 2.3× 47 0.5× 80 1.6× 32 629
Hoi-Wing Leung Hong Kong 15 478 0.6× 292 0.7× 78 0.8× 45 0.5× 137 2.8× 22 782
Zeguo Sun China 17 663 0.9× 333 0.8× 81 0.8× 36 0.4× 44 0.9× 29 996
Marjo de Graauw Netherlands 16 652 0.9× 176 0.4× 72 0.7× 46 0.5× 167 3.4× 23 1.0k
Minjae Yoo United States 11 324 0.4× 97 0.2× 135 1.4× 96 1.0× 107 2.2× 14 634
Giacomo Lettini Italy 15 496 0.7× 143 0.3× 44 0.5× 26 0.3× 133 2.7× 23 652

Countries citing papers authored by Desi Shang

Since Specialization
Citations

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

Fields of papers citing papers by Desi Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Desi Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Desi Shang. A scholar is included among the top collaborators of Desi Shang 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 Desi Shang. Desi Shang 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.
2.
Li, Shuxiang, Guang Fu, Desi Shang, et al.. (2025). TTI1 indicates a poor prognosis and is associated with metastasis and immunosuppression of colorectal cancer. Genes & Diseases. 13(3). 101727–101727.
3.
Li, Lidong, Yanyu Li, Fengcui Qian, et al.. (2024). scBlood: A comprehensive single-cell accessible chromatin database of blood cells. Computational and Structural Biotechnology Journal. 23. 2746–2753.
4.
Zhang, Guorui, Jiaqi Liu, Qiuyu Wang, et al.. (2024). Cross‐modal integration of bulk RNA‐seq and single‐cell RNA sequencing data to reveal T‐cell exhaustion in colorectal cancer. Journal of Cellular and Molecular Medicine. 28(18). e70101–e70101. 1 indexed citations
5.
Li, Yanyu, Tingting Yu, Jianing Zhang, et al.. (2024). SpatialRef: a reference of spatial omics with known spot annotation. Nucleic Acids Research. 53(D1). D1215–D1223. 4 indexed citations
6.
Xu, Xiaoqiang, Ting Cui, Qiuyu Wang, et al.. (2024). PBAC: A pathway‐based attention convolution neural network for predicting clinical drug treatment responses. Journal of Cellular and Molecular Medicine. 28(9). e18298–e18298. 2 indexed citations
7.
Jiang, Yanan, Kaibin Zhu, Jing Shao, et al.. (2023). Characterization of the metabolic alteration-modulated tumor microenvironment mediated by TP53 mutation and hypoxia. Computers in Biology and Medicine. 163. 107078–107078. 19 indexed citations
8.
Zhang, Guorui, Chao Song, Xinyue Wang, et al.. (2023). LncSEA 2.0: an updated platform for long non-coding RNA related sets and enrichment analysis. Nucleic Acids Research. 52(D1). D919–D928. 13 indexed citations
9.
Qian, Fengcui, Xuecang Li, Yanyu Li, et al.. (2022). GREAP: a comprehensive enrichment analysis software for human genomic regions. Briefings in Bioinformatics. 23(5). 4 indexed citations
10.
Sun, Changbin, Fengcui Qian, Chunquan Li, et al.. (2021). Differential RNA expression profiles and competing endogenous RNA-associated regulatory networks during the progression of atherosclerosis. Epigenomics. 13(2). 99–112. 6 indexed citations
11.
Mi, Kai, Fuhui Chen, Jing Chen, et al.. (2020). Characterizing heterogeneity of non‐small cell lung tumour microenvironment to identify signature prognostic genes. Journal of Cellular and Molecular Medicine. 24(24). 14608–14618. 12 indexed citations
12.
Zhao, Rui, Linli Tian, Bo Zhao, et al.. (2020). FADS1 promotes the progression of laryngeal squamous cell carcinoma through activating AKT/mTOR signaling. Cell Death and Disease. 11(4). 272–272. 38 indexed citations
13.
14.
Li, Shang, Yanjun Xu, Zeguo Sun, et al.. (2016). Identification of a lncRNA involved functional module for esophageal cancer subtypes. Molecular BioSystems. 12(11). 3312–3323. 7 indexed citations
15.
Zhang, Chunlong, Chunquan Li, Yanjun Xu, et al.. (2015). Integrative analysis of lung development–cancer expression associations reveals the roles of signatures with inverse expression patterns. Molecular BioSystems. 11(5). 1271–1284. 7 indexed citations
16.
Zhang, Jian, Yan Wang, Desi Shang, et al.. (2015). Characterizing and optimizing human anticancer drug targets based on topological properties in the context of biological pathways. Journal of Biomedical Informatics. 54. 132–140. 4 indexed citations
17.
Shang, Desi, Haixiu Yang, Yanjun Xu, et al.. (2014). A global view of network of lncRNAs and their binding proteins. Molecular BioSystems. 11(2). 656–663. 20 indexed citations
18.
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
19.
Zhang, Chunlong, Chunquan Li, Jing Li, et al.. (2014). Identification of miRNA-Mediated Core Gene Module for Glioma Patient Prediction by Integrating High-Throughput miRNA, mRNA Expression and Pathway Structure. PLoS ONE. 9(5). e96908–e96908. 23 indexed citations
20.
Li, Jing, Chunquan Li, Junwei Han, et al.. (2014). The detection of risk pathways, regulated by miRNAs, via the integration of sample-matched miRNA-mRNA profiles and pathway structure. Journal of Biomedical Informatics. 49. 187–197. 8 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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