Sijin Cheng

2.8k total citations · 1 hit paper
29 papers, 1.7k citations indexed

About

Sijin Cheng is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Sijin Cheng has authored 29 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Oncology and 9 papers in Immunology. Recurrent topics in Sijin Cheng's work include Cancer Immunotherapy and Biomarkers (7 papers), Single-cell and spatial transcriptomics (6 papers) and Immune cells in cancer (6 papers). Sijin Cheng is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Single-cell and spatial transcriptomics (6 papers) and Immune cells in cancer (6 papers). Sijin Cheng collaborates with scholars based in China, United States and Germany. Sijin Cheng's co-authors include Zemin Zhang, Ranran Gao, Xianwen Ren, Xueda Hu, Lei Zhang, Liang Jiang, Xiliang Wang, Bin Zhang, Zhaode Bu and Yunong Gao and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Sijin Cheng

27 papers receiving 1.7k citations

Hit Papers

A pan-cancer single-cell transcriptional atlas of tumor i... 2021 2026 2022 2024 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sijin Cheng China 15 736 732 660 363 234 29 1.7k
Peng Du China 18 551 0.7× 590 0.8× 554 0.8× 276 0.8× 345 1.5× 51 1.6k
Michele Ammendola Italy 26 628 0.9× 441 0.6× 586 0.9× 201 0.6× 292 1.2× 75 1.6k
Yinan Deng China 17 535 0.7× 504 0.7× 625 0.9× 491 1.4× 174 0.7× 34 1.6k
Yong Yi China 27 663 0.9× 905 1.2× 607 0.9× 474 1.3× 305 1.3× 68 2.0k
Ru Jia China 19 415 0.6× 833 1.1× 422 0.6× 217 0.6× 159 0.7× 50 1.6k
Xiaoyong Huang China 21 434 0.6× 470 0.6× 601 0.9× 298 0.8× 311 1.3× 57 1.6k
Danielle Carpenter United States 14 877 1.2× 1.2k 1.7× 396 0.6× 210 0.6× 510 2.2× 38 2.0k
Hongyong He China 22 685 0.9× 784 1.1× 546 0.8× 262 0.7× 255 1.1× 63 1.7k
Guozhu Xie China 20 616 0.8× 829 1.1× 581 0.9× 365 1.0× 83 0.4× 33 1.6k
Jérôme Biton France 22 1.1k 1.5× 1.1k 1.5× 421 0.6× 245 0.7× 123 0.5× 35 2.2k

Countries citing papers authored by Sijin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Sijin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sijin Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Sijin Cheng. A scholar is included among the top collaborators of Sijin 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 Sijin Cheng. Sijin 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.
Chu, Xiaojing, Xiangjie Li, Yu Zhang, et al.. (2025). Pan-Cancer Analyses Refine the Single-Cell Portrait of Tumor-Infiltrating Dendritic Cells. Cancer Research. 85(19). 3596–3613. 4 indexed citations
2.
Si, Wen, Sijin Cheng, Haiyin He, et al.. (2025). SARDH in the 1-C metabolism sculpts the T-cell fate and serves as a potential cancer therapeutic target. Cellular and Molecular Immunology. 22(11). 1363–1378.
3.
Li, Xiangjie, Xiaojing Chu, Wenbin Xu, et al.. (2025). Integrated spatial transcriptomic profiling to dissect the cellular characteristics of tumor-associated tertiary lymphoid structures. Cell Reports. 44(9). 116250–116250. 1 indexed citations
4.
Zhang, Su, et al.. (2025). An Automatic Method for Powerline Extraction From ALS Point Cloud of Powerline Corridors. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 10803–10829. 3 indexed citations
6.
Chu, Xiaojing, Xiangjie Li, Yu Zhang, et al.. (2024). Integrative single-cell analysis of human colorectal cancer reveals patient stratification with distinct immune evasion mechanisms. Nature Cancer. 5(9). 1409–1426. 27 indexed citations
7.
Chu, Xiaojing, Yu Zhang, & Sijin Cheng. (2022). Heterogeneity of tumor-infiltrating myeloid cells in era of single-cell genomics. Chinese Journal of Cancer Research. 34(3). 543–553. 14 indexed citations
8.
Cheng, Sijin, Ziyi Li, Ranran Gao, et al.. (2021). A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells. Cell. 184(3). 792–809.e23. 820 indexed citations breakdown →
9.
Li, Ming O., Natalie K. Wolf, David H. Raulet, et al.. (2021). Innate immune cells in the tumor microenvironment. Cancer Cell. 39(6). 725–729. 108 indexed citations
10.
Zhang, Qianqian, Sijin Cheng, Yongzhi Wang, et al.. (2021). Interrogation of the microenvironmental landscape in spinal ependymomas reveals dual functions of tumor-associated macrophages. Nature Communications. 12(1). 6867–6867. 30 indexed citations
11.
Yang, Rui, Sijin Cheng, Nan Luo, et al.. (2019). Distinct epigenetic features of tumor-reactive CD8+ T cells in colorectal cancer patients revealed by genome-wide DNA methylation analysis. Genome biology. 21(1). 2–2. 97 indexed citations
12.
Cheng, Sijin, Shuai Jiang, Fangyuan Shi, Yang Ding, & Ge Gao. (2018). Systematic identification and annotation of multiple-variant compound effects at transcription factor binding sites in human genome. Journal of genetics and genomics. 45(7). 373–379. 4 indexed citations
13.
Chen, Jiageng, Xiyue Jing, Changping Li, et al.. (2018). Percutaneous Endoscopic Lumbar Discectomy for L5S1 Lumbar Disc Herniation Using a Transforaminal Approach Versus an Interlaminar Approach: A Systematic Review and Meta-Analysis. World Neurosurgery. 116. 412–420.e2. 66 indexed citations
14.
Zhou, Yongping, et al.. (2018). Prognostic value of platelet-to-lymphocyte ratio in pancreatic cancer: a comprehensive meta-analysis of 17 cohort studies. OncoTargets and Therapy. Volume 11. 1899–1908. 50 indexed citations
15.
Zhou, Yongping, Wei Qian, Junsheng Fan, et al.. (2018). Prognostic role of the neutrophil-to-lymphocyte ratio in pancreatic cancer: A meta-analysis containing 8252 patients. Clinica Chimica Acta. 479. 181–189. 113 indexed citations
16.
Zhou, Yongping, et al.. (2018). The prognostic value of high LncRNA AFAP1-AS1 expression in various cancers: A systematic review and meta-analysis containing 21 studies. Clinica Chimica Acta. 481. 147–153. 14 indexed citations
17.
Zhou, Yongping, et al.. (2018). Prognostic and clinicopathological value of SIRT3 expression in various cancers: a systematic review and meta-analysis. OncoTargets and Therapy. Volume 11. 2157–2167. 22 indexed citations
18.
Peng, Linna, Sijin Cheng, Yuan Lin, et al.. (2018). CCGD-ESCC: A Comprehensive Database for Genetic Variants Associated with Esophageal Squamous Cell Carcinoma in Chinese Population. Genomics Proteomics & Bioinformatics. 16(4). 262–268. 14 indexed citations
20.
Wang, Jing, Yongzhao Zhao, Ruizhao Qi, et al.. (2016). Prognostic role of podocalyxin-like protein expression in various cancers: A systematic review and meta-analysis. Oncotarget. 8(32). 52457–52464. 34 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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