Shijia Wang

1.7k total citations · 1 hit paper
54 papers, 1.3k citations indexed

About

Shijia Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Shijia Wang has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 9 papers in Oncology. Recurrent topics in Shijia Wang's work include MicroRNA in disease regulation (7 papers), Cancer Cells and Metastasis (4 papers) and Cancer-related molecular mechanisms research (4 papers). Shijia Wang is often cited by papers focused on MicroRNA in disease regulation (7 papers), Cancer Cells and Metastasis (4 papers) and Cancer-related molecular mechanisms research (4 papers). Shijia Wang collaborates with scholars based in China, United States and Ghana. Shijia Wang's co-authors include Caiyun Zhong, Shanshan Geng, Jieshu Wu, Chunfeng Xie, Jianyun Zhu, Xiaoting Li, Xue Yang, Xiaoqian Wang, Yu Meng and Xiao Ma and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Journal of Hazardous Materials.

In The Last Decade

Shijia Wang

51 papers receiving 1.3k citations

Hit Papers

The association between non-high-density lipoprotein chol... 2023 2026 2024 2025 2023 25 50 75

Peers

Shijia Wang
Comparison fields: 5 of 117
  • Molecular Biology 674
  • Cancer Research 276
  • Oncology 209
  • Immunology 133
  • Surgery 122
Replace Hui Cai with:
Hui Cai China
Xian Cheng China
Jin Chen China
Wei‐En Yang Taiwan
Sang Joon Lee South Korea
Yuqi Fan China
Aya Naiki‐Ito Japan
Sung Hoo Jung South Korea
Liuting Zeng China
Eswar Shankar United States
Hui Cai China View profile →
Citations per field, relative to Shijia Wang
Shijia Wang · 1×
Citations per year, relative to Shijia Wang
Shijia Wang · 1×

Countries citing papers authored by Shijia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shijia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijia Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shijia Wang. A scholar is included among the top collaborators of Shijia Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shijia Wang. Shijia Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 36
5 3
6
The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and risk of depression among US adults: A cross-sectional NHANES study breakdown →
87
7 1
8 15
9 2
10 2
11 11
12 1
13 3
14 1
15 21
16 85
17 43
18 11
19 76
20 17

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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