Sijia Wang

213 total papers · 4.3k total citations
112 papers, 1.5k citations indexed

About

Sijia Wang is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Sijia Wang has authored 112 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 28 papers in Genetics and 16 papers in Cell Biology. Recurrent topics in Sijia Wang's work include Genetic Associations and Epidemiology (13 papers), melanin and skin pigmentation (11 papers) and Epigenetics and DNA Methylation (11 papers). Sijia Wang is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), melanin and skin pigmentation (11 papers) and Epigenetics and DNA Methylation (11 papers). Sijia Wang collaborates with scholars based in China, United States and United Kingdom. Sijia Wang's co-authors include Jin Li, Yajun Yang, Jean Krutmann, Anke Hüls, Tamara Schikowski, Andrea Vierkötter, Mary S. Matsui, Jingze Tan, Anan Ding and Qiyue Yang and has published in prestigious journals such as Nature Communications, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Sijia Wang

104 papers receiving 1.5k 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 407 287 174 156 147 112 1.5k
Allen 138 0.3× 252 0.9× 57 0.3× 116 0.7× 104 0.7× 95 1.5k
Takashi Mikami 513 1.3× 65 0.2× 87 0.5× 52 0.3× 55 0.4× 125 1.8k
Harry Kujari 285 0.7× 91 0.3× 164 0.9× 85 0.5× 30 0.2× 58 1.8k
H Schmidt 312 0.8× 48 0.2× 89 0.5× 23 0.1× 187 1.3× 48 1.3k
Mustafa Turan 281 0.7× 77 0.3× 179 1.0× 203 1.3× 23 0.2× 112 1.8k
Xiaoting Chen 521 1.3× 29 0.1× 50 0.3× 45 0.3× 109 0.7× 106 1.4k
Jun Li 442 1.1× 106 0.4× 101 0.6× 50 0.3× 15 0.1× 72 1.1k
Atsushi Ueda 307 0.8× 126 0.4× 93 0.5× 24 0.2× 167 1.1× 112 1.4k
Ziyan Zhang 399 1.0× 41 0.1× 33 0.2× 56 0.4× 130 0.9× 129 1.5k
Raquel Cruz 739 1.8× 59 0.2× 443 2.5× 137 0.9× 13 0.1× 60 1.6k

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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