Shaocong Mo

443 total citations · 1 hit paper
29 papers, 230 citations indexed

About

Shaocong Mo is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Shaocong Mo has authored 29 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Immunology. Recurrent topics in Shaocong Mo's work include Ferroptosis and cancer prognosis (6 papers), Immune cells in cancer (6 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Shaocong Mo is often cited by papers focused on Ferroptosis and cancer prognosis (6 papers), Immune cells in cancer (6 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Shaocong Mo collaborates with scholars based in China, Japan and United States. Shaocong Mo's co-authors include Wenchao Gu, Zongcheng Yang, Wenbo Zheng, Takahito Nakajima, Feifei Luo, Yulin Wang, Shuai Jia, Jie Liu, Lirong Chen and Huan Song and has published in prestigious journals such as Journal of Clinical Investigation, Cancer Cell and Frontiers in Immunology.

In The Last Decade

Shaocong Mo

25 papers receiving 226 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.

Targeting tumor monocyte-intrinsic PD-L1 by rewiring STING signaling and enhancing STING agonist therapy

2025 20 citations Huan Song, Lin Chen et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaocong Mo China	10	71	61	56	32	23	29	230
Stefanie Warnat‐Herresthal Germany	4	80 1.1×	105 1.7×	20 0.4×	23 0.7×	8 0.3×	6	231
Asoke K. Talukder India	8	145 2.0×	80 1.3×	45 0.8×	18 0.6×	19 0.8×	29	364
Yajuan Shen China	9	54 0.8×	222 3.6×	78 1.4×	49 1.5×	24 1.0×	16	394
Lanyun Feng China	9	76 1.1×	56 0.9×	124 2.2×	35 1.1×	5 0.2×	15	283
Lingxi Chen China	10	161 2.3×	43 0.7×	39 0.7×	20 0.6×	43 1.9×	43	337
H. Göransson Sweden	8	82 1.2×	86 1.4×	19 0.3×	22 0.7×	60 2.6×	12	367
Cody N. Heiser United States	7	143 2.0×	45 0.7×	60 1.1×	10 0.3×	14 0.6×	13	241
Sai Batchu United States	10	89 1.3×	81 1.3×	47 0.8×	6 0.2×	10 0.4×	49	332
Parisa Shooshtari Canada	9	156 2.2×	79 1.3×	28 0.5×	16 0.5×	17 0.7×	20	305
Li Wu China	11	136 1.9×	30 0.5×	18 0.3×	18 0.6×	46 2.0×	34	329

Countries citing papers authored by Shaocong Mo

Since Specialization

Citations

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

Fields of papers citing papers by Shaocong Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaocong Mo

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

All Works

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20 of 20 papers shown

Song, Huan, Lin Chen, Guohong Wang, et al.. (2025). Targeting tumor monocyte-intrinsic PD-L1 by rewiring STING signaling and enhancing STING agonist therapy. Cancer Cell. 43(3). 503–518.e10. 20 indexed citations breakdown →

Zhang, Yangyang, Xuanyu Wang, Zhiwei Ying, et al.. (2025). Development of a PANoptosis ‐Related Pathomics Prognostic Model in Ovarian Cancer: A Multi‐Omics Study. Journal of Cellular and Molecular Medicine. 29(22). e70958–e70958.

Wang, Jiahe, et al.. (2025). Integrating genome-wide association studies and transcriptomics prioritizes drug targets for meningioma. Brain Communications. 7(2). fcaf053–fcaf053.

Zhong, B., Wanwei Zheng, Dan Wang, et al.. (2024). Rg3-lipo biomimetic delivery of paclitaxel enhances targeting of tumors and myeloid-derived suppressor cells. Journal of Clinical Investigation. 134(22). 6 indexed citations

Luo, Zhongguang, Wenshuai Li, Wanwei Zheng, et al.. (2024). Elucidating epigenetic landscape of gastric premalignant lesions through genome‐wide mapping of 5‐hydroxymethylcytosines: A 12‐year median follow‐up study. Clinical and Translational Medicine. 14(12). e70114–e70114. 2 indexed citations

Shen, Ziyan, Shaocong Mo, Han Zhang, et al.. (2024). Crosstalk among proximal tubular cells, macrophages, and fibroblasts in acute kidney injury: single-cell profiling from the perspective of ferroptosis. Human Cell. 37(4). 1039–1055. 4 indexed citations

Mo, Shaocong, et al.. (2024). Prognostic implication of UBE2C + CD8 + T cell in neoadjuvant immune checkpoint blockade plus chemotherapy for locally advanced esophageal cancer. International Immunopharmacology. 130. 111696–111696. 2 indexed citations

Mo, Shaocong, et al.. (2024). Effects of Baicalein Pretreatment on the NLRP3/GSDMD Pyroptosis Pathway and Neuronal Injury in Pilocarpine-Induced Status Epilepticus in the Mice. eNeuro. 12(1). ENEURO.0319–24.2024.

Gu, Wenchao, Yingli Chen, Haidi Chen, et al.. (2023). Development and validation of CT-based radiomics deep learning signatures to predict lymph node metastasis in non-functional pancreatic neuroendocrine tumors: a multicohort study. EClinicalMedicine. 65. 102269–102269. 23 indexed citations

10.

Li, Xuewei, Lirong Chen, Shaocong Mo, et al.. (2023). A High-Throughput Sequencing Data-Based Classifier Reveals the Metabolic Heterogeneity of Hepatocellular Carcinoma. Cancers. 15(3). 592–592. 4 indexed citations

11.

Mo, Shaocong, Yulin Wang, Yunpeng Liu, et al.. (2023). Systematic single-cell dissecting reveals heterogeneous oncofetal reprogramming in the tumor microenvironment of gastric cancer. Human Cell. 36(2). 689–701. 8 indexed citations

12.

Li, Wenshuai, Lirong Chen, Shaocong Mo, et al.. (2023). Cell metabolism-based optimization strategy of CAR-T cell function in cancer therapy. Frontiers in Immunology. 14. 1186383–1186383. 25 indexed citations

13.

Shen, Xin, Shaocong Mo, Yulin Wang, et al.. (2023). Identification of antigen-presentation related B cells as a key player in Crohn’s disease using single-cell dissecting, hdWGCNA, and deep learning. Clinical and Experimental Medicine. 23(8). 5255–5267. 3 indexed citations

14.

Mo, Shaocong, Baoxiang Huang, Qiuming Chen, et al.. (2023). Single-cell dissection, hdWGCNA and deep learning reveal the role of oxidatively stressed plasma cells in ulcerative colitis. Acta Biochimica et Biophysica Sinica. 55(11). 1730–1739. 5 indexed citations

15.

Mo, Shaocong, Yujen Tseng, Xin Shen, et al.. (2023). A precise molecular subtyping of ulcerative colitis reveals the immune heterogeneity and predicts clinical drug responses. Journal of Translational Medicine. 21(1). 466–466. 9 indexed citations

16.

Gu, Wenchao, Hui Sun, Meng Zhang, et al.. (2022). ITGB1 as a prognostic biomarker correlated with immune suppression in gastric cancer. Cancer Medicine. 12(2). 1520–1531. 23 indexed citations

17.

Shen, Ziyan, Shaocong Mo, Lei-Jie Dai, et al.. (2022). Construction and validation of a novel ten miRNA-pair based signature for the prognosis of clear cell renal cell carcinoma. Translational Oncology. 25. 101519–101519.

18.

Fu, Yifan, Zhirong Guo, Yulin Wang, et al.. (2022). Single-nucleus RNA sequencing reveals the shared mechanisms inducing cognitive impairment between COVID-19 and Alzheimer’s disease. Frontiers in Immunology. 13. 967356–967356. 15 indexed citations

19.

Mo, Shaocong, Biao Song, & Yulin Wang. (2021). Transcriptomic Analysis and Novel Gene Pair-Based Signatures for Hepatitis B-Related Hepatocellular Carcinoma. Critical Reviews in Eukaryotic Gene Expression. 31(6). 37–53. 1 indexed citations

20.

Mo, Shaocong, Lei-Jie Dai, Yulin Wang, et al.. (2021). Comprehensive Analysis of the Systemic Transcriptomic Alternations and Inflammatory Response during the Occurrence and Progress of COVID‐19. Oxidative Medicine and Cellular Longevity. 2021(1). 9998697–9998697. 13 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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