Shaocong Mo
Impact in
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- Immune cells in cancer
Papers in ⓘ
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- Single-cell and spatial transcriptomics 3
- Oncology 9
- Cancer Immunotherapy and Biomarkers 4
- Pancreatic and Hepatic Oncology Research 4
- Co-authors
- Wenchao Gu (10 shared papers)Wenbo Zheng (6 shared papers)Zongcheng Yang (5 shared papers)Feifei Luo (7 shared papers)Yulin Wang (7 shared papers)Takahito Nakajima (7 shared papers)Jie Liu (5 shared papers)Shuai Jia (4 shared papers)
- Journals
- Human Cell (2 papers)Frontiers in Immunology (2 papers)Cancers (2 papers)Genes to Cells (1 paper)Brain Communications (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Shaocong Mo
25 papers receiving 226 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Immunology 61
- Health Informatics 3
- Oncology 56
- Biological Psychiatry 5
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Shaocong Mo
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
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-authors
The 25 scholars most cited alongside Shaocong Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 25 | |
| 2 | 2023 | 23 | |
| 3 | 2022 | 23 | |
| 4 | 2018 | 21 | |
| 5 | Targeting tumor monocyte-intrinsic PD-L1 by rewiring STING signaling and enhancing STING agonist therapy Hit paper breakdown → | 2025 | 20 |
| 6 | 2022 | 15 | |
| 7 | 2021 | 13 | |
| 8 | 2017 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2024 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2018 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2023 | 3 |
About Shaocong Mo
Shaocong Mo is a scholar working on Molecular Biology, Oncology, Immunology, Pulmonary and Respiratory Medicine and Surgery, having authored 29 papers that have together received 230 indexed citations. Recurring topics across this work include Immune cells in cancer (6 papers), Ferroptosis and cancer prognosis (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Inflammatory Bowel Disease (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Single-cell and spatial transcriptomics (3 papers), Long-Term Effects of COVID-19 (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Immunology (61 citations), Health Informatics (3 citations), Oncology (56 citations), Biological Psychiatry (5 citations) and Computer Vision and Pattern Recognition (32 citations). Shaocong Mo has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Wenchao Gu, Wenbo Zheng, Zongcheng Yang, Feifei Luo, Yulin Wang, Takahito Nakajima, Jie Liu, Shuai Jia, Lirong Chen and Wanwei Zheng. Their work appears in journals such as Human Cell, Frontiers in Immunology, Cancers, Genes to Cells and Brain Communications.
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.