Lijun Cheng

5.4k total citations
66 papers, 1.6k citations indexed

About

Lijun Cheng is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Lijun Cheng has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 13 papers in Oncology and 11 papers in Computational Theory and Mathematics. Recurrent topics in Lijun Cheng's work include Bioinformatics and Genomic Networks (14 papers), Computational Drug Discovery Methods (11 papers) and Gene expression and cancer classification (9 papers). Lijun Cheng is often cited by papers focused on Bioinformatics and Genomic Networks (14 papers), Computational Drug Discovery Methods (11 papers) and Gene expression and cancer classification (9 papers). Lijun Cheng collaborates with scholars based in United States, China and Canada. Lijun Cheng's co-authors include Chunyu Liu, Lang Li, Elliot S. Gershon, Chao Chen, Xiaoqi Liu, Judith A. Badner, Zhuangzhuang Zhang, Dandan Zhang, David W. Craig and Wei Luo and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Lijun Cheng

63 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lijun Cheng United States 18 1.1k 315 300 284 238 66 1.6k
Kelsy C. Cotto United States 7 860 0.8× 210 0.7× 248 0.8× 292 1.0× 159 0.7× 16 1.4k
Adam Coffman United States 7 937 0.9× 211 0.7× 283 0.9× 320 1.1× 184 0.8× 11 1.6k
Augustin Luna United States 21 1.5k 1.4× 185 0.6× 387 1.3× 567 2.0× 424 1.8× 52 2.1k
Martina Kutmon Netherlands 17 1.4k 1.3× 218 0.7× 150 0.5× 325 1.1× 138 0.6× 51 2.1k
Gürkan Bebek United States 22 1.1k 1.0× 141 0.4× 180 0.6× 256 0.9× 240 1.0× 52 1.7k
Scott J. Hebbring United States 26 836 0.8× 774 2.5× 319 1.1× 183 0.6× 91 0.4× 67 2.0k
Minji Jeon South Korea 12 1.4k 1.4× 199 0.6× 237 0.8× 382 1.3× 265 1.1× 26 2.5k
Denis Torre United States 12 1.1k 1.0× 141 0.4× 134 0.4× 270 1.0× 167 0.7× 17 1.6k
Anthony Batzler United States 23 761 0.7× 576 1.8× 127 0.4× 339 1.2× 424 1.8× 58 1.7k
Anaı̈s Baudot France 20 1.1k 1.1× 185 0.6× 138 0.5× 166 0.6× 108 0.5× 54 1.6k

Countries citing papers authored by Lijun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Lijun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Lijun Cheng. A scholar is included among the top collaborators of Lijun Cheng 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 Lijun Cheng. Lijun Cheng 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.
Cheng, Lijun, Po‐Jung Su, Ming‐Chun Kuo, et al.. (2024). Combining serum inflammatory markers and clinical factors to predict survival in metastatic urothelial carcinoma patients treated with immune checkpoint inhibitors. Therapeutic Advances in Medical Oncology. 16. 12749827–12749827. 1 indexed citations
2.
Cai, Ke, Xu Wang, Zhenqi Zhou, et al.. (2024). Genetic Diversity and Selection Signatures of Lvliang Black Goat Using Genome-Wide SNP Data. Animals. 14(21). 3154–3154.
3.
Tang, Shan, Ryan D. Roberts, Lijun Cheng, & Lang Li. (2023). Osteosarcoma Multi-Omics Landscape and Subtypes. Cancers. 15(20). 4970–4970. 8 indexed citations
4.
Tang, Shan, Kunjie Fan, Lijun Cheng, et al.. (2023). SLKB: synthetic lethality knowledge base. Nucleic Acids Research. 52(D1). D1418–D1428. 8 indexed citations
5.
Zhang, Zhuangzhuang, Lijun Cheng, Jie Li, et al.. (2022). Targeting Plk1 Sensitizes Pancreatic Cancer to Immune Checkpoint Therapy. Cancer Research. 82(19). 3532–3548. 36 indexed citations
6.
Li, Jin, Xue Wu, Shijun Zhang, et al.. (2022). Subpathway Analysis of Transcriptome Profiles Reveals New Molecular Mechanisms of Acquired Chemotherapy Resistance in Breast Cancer. Cancers. 14(19). 4878–4878. 15 indexed citations
7.
Cheng, Lijun, et al.. (2022). DGCyTOF: Deep learning with graphic cluster visualization to predict cell types of single cell mass cytometry data. PLoS Computational Biology. 18(4). e1008885–e1008885. 21 indexed citations
8.
Wu, Xue, et al.. (2022). DSCN: Double-target selection guided by CRISPR screening and network. PLoS Computational Biology. 18(8). e1009421–e1009421. 1 indexed citations
9.
Tang, Shan, et al.. (2022). Synthetic lethal gene pairs: Experimental approaches and predictive models. Frontiers in Genetics. 13. 961611–961611. 16 indexed citations
10.
Zhang, Zhuangzhuang, Lijun Cheng, Yifan Kong, et al.. (2021). Co‐Targeting Plk1 and DNMT3a in Advanced Prostate Cancer. Advanced Science. 8(13). e2101458–e2101458. 13 indexed citations
11.
Kim, Hangil, et al.. (2021). XDeathDB: a visualization platform for cell death molecular interactions. Cell Death and Disease. 12(12). 1156–1156. 11 indexed citations
12.
Li, Jin, Xue Wu, Zhi Jiang Zeng, et al.. (2020). Essentiality and Transcriptome-Enriched Pathway Scores Predict Drug-Combination Synergy. Biology. 9(9). 278–278. 11 indexed citations
13.
Wang, Limei, Jin Li, Garrett Kinnebrew, et al.. (2019). Identification of Alternatively-Activated Pathways between Primary Breast Cancer and Liver Metastatic Cancer Using Microarray Data. Genes. 10(10). 753–753. 11 indexed citations
14.
Li, Jin, Garrett Kinnebrew, Pengyue Zhang, et al.. (2019). A Fast and Furious Bayesian Network and Its Application of Identifying Colon Cancer to Liver Metastasis Gene Regulatory Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(4). 1325–1335. 11 indexed citations
15.
Bai, Yunfeng, Zhuangzhuang Zhang, Lijun Cheng, et al.. (2019). Inhibition of enhancer of zeste homolog 2 (EZH2) overcomes enzalutamide resistance in castration-resistant prostate cancer. Journal of Biological Chemistry. 294(25). 9911–9923. 59 indexed citations
16.
Farah, Elia, Chaohao Li, Lijun Cheng, et al.. (2019). NOTCH signaling is activated in and contributes to resistance in enzalutamide-resistant prostate cancer cells. Journal of Biological Chemistry. 294(21). 8543–8554. 50 indexed citations
17.
Zhang, Zhuangzhuang, Lijun Cheng, Jie Li, et al.. (2018). Inhibition of the Wnt/β-Catenin Pathway Overcomes Resistance to Enzalutamide in Castration-Resistant Prostate Cancer. Cancer Research. 78(12). 3147–3162. 123 indexed citations
18.
Kong, Yifan, Lijun Cheng, Fengyi Mao, et al.. (2018). Inhibition of cholesterol biosynthesis overcomes enzalutamide resistance in castration-resistant prostate cancer (CRPC). Journal of Biological Chemistry. 293(37). 14328–14341. 86 indexed citations
19.
Anjanappa, Manjushree, Angelo A. Cardoso, Lijun Cheng, et al.. (2017). Individualized Breast Cancer Characterization through Single-Cell Analysis of Tumor and Adjacent Normal Cells. Cancer Research. 77(10). 2759–2769. 16 indexed citations
20.
Cheng, Lijun. (2015). Advances in molecular targeted drugs in the treatment of cervical cancer. 1 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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