Rigu Su
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
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- Circular RNAs in diseases 8
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- Galectins and Cancer Biology 3
- Immune Cell Function and Interaction 3
- Macrophage Migration Inhibitory Factor 2
- Immune cells in cancer 2
- Co-authors
- Qing Luo (13 shared papers)Junming Li (11 shared papers)Zikun Huang (10 shared papers)Jianqing Xu (7 shared papers)Yiping Peng (6 shared papers)Fangyi Yao (5 shared papers)Yang Guo (7 shared papers)Qing Cheng (4 shared papers)
- Journals
- Frontiers in Microbiology (4 papers)Cellular Physiology and Biochemistry (1 paper)Frontiers in Oncology (1 paper)Scientific Reports (1 paper)Aging (1 paper)
- Partner nations
- China
In The Last Decade
Rigu Su
15 papers receiving 381 citations
Peers
Comparison fields: 5 of 56
- Cancer Research 217
- Immunology 96
- Molecular Biology 267
- Infectious Diseases 37
- Rheumatology 21
Countries citing papers authored by Rigu Su
This map shows the geographic impact of Rigu Su'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 Rigu Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rigu Su more than expected).
Fields of papers citing papers by Rigu Su
This network shows the impact of papers produced by Rigu Su. 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 Rigu Su. The network helps show where Rigu Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Rigu Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 70 | |
| 2 | 2018 | 62 | |
| 3 | 2018 | 40 | |
| 4 | 2020 | 40 | |
| 5 | 2019 | 33 | |
| 6 | 2017 | 30 | |
| 7 | 2018 | 25 | |
| 8 | Circulating circular RNAs hsa_circ_0001204 and hsa_circ_0001747 act as diagnostic biomarkers for active tuberculosis detection. | 2018 | 23 |
| 9 | 2018 | 21 | |
| 10 | Decreased expression of TIGIT in NK cells correlates negatively with disease activity in systemic lupus erythematosus. | 2018 | 16 |
| 11 | 2022 | 11 | |
| 12 | 2021 | 7 | |
| 13 | 2017 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 |
About Rigu Su
Rigu Su is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Epidemiology, having authored 16 papers that have together received 381 indexed citations. Recurring topics across this work include Circular RNAs in diseases (8 papers), MicroRNA in disease regulation (5 papers), Galectins and Cancer Biology (3 papers), Cancer-related molecular mechanisms research (3 papers), Immune Cell Function and Interaction (3 papers), Macrophage Migration Inhibitory Factor (2 papers), Immune cells in cancer (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Cancer Research (217 citations), Immunology (96 citations), Molecular Biology (267 citations), Infectious Diseases (37 citations) and Rheumatology (21 citations). Rigu Su has collaborated with scholars based in China. Frequent co-authors include Qing Luo, Junming Li, Zikun Huang, Jianqing Xu, Yiping Peng, Fangyi Yao, Yang Guo, Qing Cheng, Zhen Deng and Zikun Huang. Their work appears in journals such as Frontiers in Microbiology, Cellular Physiology and Biochemistry, Frontiers in Oncology, Scientific Reports and Aging.
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.