Rigu Su

484 citations
16 papers · 388 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Circular RNAs in diseases 8
    • Ubiquitin and proteasome pathways 1
    • Galectins and Cancer Biology 3
    • Immune Cell Function and Interaction 3
    • Immune cells in cancer 2

Rigu Su

15 papers receiving 388 citations

Peers

Rigu Su
Comparison fields: 5 of 54
  • Cancer Research 188
  • Immunology 87
  • Molecular Biology 256
  • Infectious Diseases 34
  • Rheumatology 21
Replace Corinna Hüls with:
Corinna Hüls Germany
Yaling Dou China
Patrick Daum Germany
Monique van Eijndhoven Netherlands
Beatriz Sánchez‐Sendra Spain
Özgür Özkayar Türkiye
Lee Serpas United States
Arash Latifkar United States
Neelam Shah China
Mekhine Baccam United States
Rigu Su relative to Corinna Hüls Germany Corinna Hüls's profile →
Citations per field
00.5×10.3×
Corinna Hüls · 1×
Citations per year

Countries citing papers authored by Rigu Su

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Rigu Su Line = papers co-authored together Rigu Su links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201871
2 201862
3 202042
4 201840
5 201935
6 201730
7 201825
8
Circulating circular RNAs hsa_circ_0001204 and hsa_circ_0001747 act as diagnostic biomarkers for active tuberculosis detection.
201823
9 201821
10
Decreased expression of TIGIT in NK cells correlates negatively with disease activity in systemic lupus erythematosus.
201817
11 202211
12 20217
13 20252
14 20171
15 20171
16 20250

About Rigu Su

Rigu Su is a scholar working on Molecular Biology, Immunology, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 16 papers that have together received 388 indexed citations. Recurring topics across this work include Circular RNAs in diseases (8 papers), Galectins and Cancer Biology (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Immune Cell Function and Interaction (3 papers), Immune cells in cancer (2 papers), Cancer Mechanisms and Therapy (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cancer Research (188 citations), Immunology (87 citations), Molecular Biology (256 citations), Infectious Diseases (34 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, Zhen Deng, Zikun Huang and Biqi Fu. Their work appears in journals such as Frontiers in Microbiology, Frontiers in Oncology, Clinical & Experimental Immunology, Frontiers in Immunology 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.

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