Shuoer Wang

466 citations
16 papers · 323 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Protease and Inhibitor Mechanisms
    • Peptidase Inhibition and Analysis

Papers in

    • Circular RNAs in diseases 2
    • Extracellular vesicles in disease 2
    • Peptidase Inhibition and Analysis 2

Shuoer Wang

16 papers receiving 321 citations

Peers

Shuoer Wang
Comparison fields: 5 of 65
  • Cancer Research 129
  • Oncology 124
  • Biological Psychiatry 6
  • Molecular Biology 159
  • Pathology and Forensic Medicine 34
Replace Kaijing Wang with:
Kaijing Wang China
He Hu China
Tianlin He China
Yunhong Tian China
Kari Trumpi Netherlands
Shaoyong Peng China
Shufang Ning China
Emelie Karnevi Sweden
Jae Ho Lo United States
Yongji Zeng United States
Shuoer Wang relative to Kaijing Wang China Kaijing Wang's profile →
Citations per field
00.5×1.5×
Kaijing Wang · 1×
Citations per year

Countries citing papers authored by Shuoer Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuoer Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2019114
2 202240
3 202428
4 202027
5 201923
6 201920
7 201916
8 202412
9 202211
10 20199
11 20217
12 20195
13 20204
14 20184
15 20212
16 20241

About Shuoer Wang

Shuoer Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 16 papers that have together received 323 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Circular RNAs in diseases (2 papers), Extracellular vesicles in disease (2 papers), Gastric Cancer Management and Outcomes (2 papers), Peptidase Inhibition and Analysis (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Cancer Research (129 citations), Oncology (124 citations), Biological Psychiatry (6 citations), Molecular Biology (159 citations) and Pathology and Forensic Medicine (34 citations). Shuoer Wang has collaborated with scholars based in China. Frequent co-authors include Gong Yang, Chun‐Xia Ren, Jingshu Wang, Lina Yang, Yaping Chen, Guoqing Tong, Fan Liang, Xianghui Han, Zhengyu Jiang and Huijing Yin. Their work appears in journals such as Cancer Medicine, Frontiers in Oncology, Cancer Letters, Oncogenesis and Cell Death and Disease.

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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