Caixia Sun

1.6k citations
78 papers · 1.1k · h-index 21

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • IL-33, ST2, and ILC Pathways
    • Psoriasis: Treatment and Pathogenesis

Papers in

    • RNA modifications and cancer 5
    • Circular RNAs in diseases 4
    • DNA Repair Mechanisms 4
    • Ubiquitin and proteasome pathways 4
    • Cytokine Signaling Pathways and Interactions 3
    • Cancer Immunotherapy and Biomarkers 3

Caixia Sun

75 papers receiving 1.1k citations

Peers

Caixia Sun
Comparison fields: 5 of 115
  • Cancer Research 240
  • Immunology 193
  • Molecular Biology 492
  • Oncology 195
  • Clinical Biochemistry 48
Replace Xueyuan Bai with:
Xueyuan Bai China
Antonios N. Gargalionis Greece
Jia Fu China
Hogyoung Kim United States
Qiang Shen China
Siyuan Tang China
Russell S. Whelan United States
Ning Shi China
Caixia Sun relative to Xueyuan Bai China Xueyuan Bai's profile →
Citations per field
00.5×1.7×
Xueyuan Bai · 1×
Citations per year

Countries citing papers authored by Caixia Sun

Since Specialization
Citations

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

Fields of papers citing papers by Caixia Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Caixia Sun, 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 Caixia Sun Line = papers co-authored together Caixia Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201290
2 201168
3 201661
4 201756
5 201144
6 201643
7 201740
8 202138
9 201735
10 202134
11 201732
12 202129
13 202026
14 202226
15 202026
16 201825
17 201424
18 200923
19 201023
20 201020

About Caixia Sun

Caixia Sun is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Physiology, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), RNA modifications and cancer (5 papers), Circular RNAs in diseases (4 papers), DNA Repair Mechanisms (4 papers), Cancer-related molecular mechanisms research (4 papers), Ubiquitin and proteasome pathways (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Cancer Research (240 citations), Immunology (193 citations), Molecular Biology (492 citations), Oncology (195 citations) and Clinical Biochemistry (48 citations). Caixia Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Youmao Tao, Zhaoliang Su, Huaxi Xu, Shengjun Wang, Tao Han, Tao Zhang, Yanfang Liu, Chong Ma, Siamak Sandoghchian Shotorbani and Zhijun Jiao. Their work appears in journals such as Biomedicine & Pharmacotherapy, Journal of Clinical Oncology, Scientific Reports, International Journal of Pediatric Otorhinolaryngology and Molecular and Cellular Endocrinology.

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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