Sijia Wang

25 total papers · 547 total citations
21 papers, 387 citations indexed

About

Sijia Wang is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Sijia Wang has authored 21 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Sijia Wang's work include Autophagy in Disease and Therapy (5 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Ferroptosis and cancer prognosis (3 papers). Sijia Wang is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Ferroptosis and cancer prognosis (3 papers). Sijia Wang collaborates with scholars based in China, United States and Germany. Sijia Wang's co-authors include Chunying Li, Kang Zeng, Qiong Shi, Xiuli Yi, Sen Guo, Weinan Guo, Huina Wang, Han Peng, Zhenjie Wu and Zhuoli Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Sijia Wang

20 papers receiving 386 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sijia Wang 226 120 104 91 70 21 387
Rongyu Zhang 231 1.0× 129 1.1× 62 0.6× 63 0.7× 49 0.7× 22 394
Haowen Jiang 184 0.8× 72 0.6× 45 0.4× 56 0.6× 90 1.3× 20 389
Zumin Xu 294 1.3× 141 1.2× 47 0.5× 108 1.2× 44 0.6× 24 426
Min Li 234 1.0× 163 1.4× 43 0.4× 39 0.4× 41 0.6× 23 378
Conan G. Kinsey 207 0.9× 69 0.6× 40 0.4× 135 1.5× 41 0.6× 20 388
Yaqi Cheng 224 1.0× 131 1.1× 43 0.4× 50 0.5× 58 0.8× 28 355
Adriana Cruvinel Carloni 229 1.0× 101 0.8× 51 0.5× 101 1.1× 32 0.5× 14 388
Izabela Papiewska‐Pająk 222 1.0× 129 1.1× 49 0.5× 110 1.2× 56 0.8× 24 403
Guohua Liu 266 1.2× 132 1.1× 24 0.2× 55 0.6× 41 0.6× 18 445
Ravi Chakra Turaga 223 1.0× 88 0.7× 35 0.3× 140 1.5× 53 0.8× 16 403

Countries citing papers authored by Sijia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sijia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sijia Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Sijia Wang. A scholar is included among the top collaborators of Sijia 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 Sijia Wang. Sijia Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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