Shuangni Yu

2.4k citations
68 papers · 1.7k indexed · h-index 21
    • MicroRNA in disease regulation 18
    • Cancer-related molecular mechanisms research 8
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research 15
    • Cancer Immunotherapy and Biomarkers 13
    • Lung Cancer Research Studies 6
    • RNA modifications and cancer 8
  • Immunology top 10%
    • Endometrial and Cervical Cancer Treatments 6
    • Neuroendocrine Tumor Research Advances 11

Shuangni Yu

66 papers receiving 1.7k citations

Peers

Shuangni Yu
Comparison fields: 5 of 86
  • Cancer Research 914
  • Oncology 606
  • Molecular Biology 1.0k
  • Immunology 232
  • Obstetrics and Gynecology 75
Replace Gwangil Kim with:
Gwangil Kim South Korea
Nadia Dandachi Austria
Marc D. Bullock United Kingdom
Tomoya Sudo Japan
Shujuan Ni China
Tingguo Zhang China
Weiwei Weng China
Cecilia S. Leung United States
Jianbin Xiang China
Guichao Li China
Shuangni Yu relative to Gwangil Kim South Korea Gwangil Kim's profile →
Citations per field
00.5×1.5×2.0×
Gwangil Kim · 1×
Citations per year

Countries citing papers authored by Shuangni Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shuangni Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 202329
4 202315
5 20239
6 20231
7 20230
8 20226
9 202225
10 202212
11 20213
12 202023
13 201919
14 201710
15 201619
16 201546
17 201345
18 2010278
19 2010158
20 199410

About Shuangni Yu

Shuangni Yu is a scholar working on Cancer Research, Oncology and Obstetrics and Gynecology, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (18 papers), Pancreatic and Hepatic Oncology Research (15 papers), Cancer Immunotherapy and Biomarkers (13 papers), Neuroendocrine Tumor Research Advances (11 papers), Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (8 papers), Endometrial and Cervical Cancer Treatments (6 papers) and Lung Cancer Research Studies (6 papers). The work is most often cited by research in Cancer Research (914 citations), Oncology (606 citations) and Molecular Biology (1.0k citations). Shuangni Yu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhaohui Lu, Jie Chen, Yihui Ma, Wugan Zhao, Jie Chen, Jia Yu, Changzheng Liu, Yunxiao Meng, Shengwei Mo and Yumei Gu. Their work appears in journals such as PLoS ONE, Cancer Research and Journal of Hepatology.

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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