Si Wang

120 papers and 3.6k indexed citations i.

About

Si Wang is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Si Wang has authored 120 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 14 papers in Physiology and 13 papers in Cancer Research. Recurrent topics in Si Wang’s work include Single-cell and spatial transcriptomics (12 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers) and Pluripotent Stem Cells Research (11 papers). Si Wang is often cited by papers focused on Single-cell and spatial transcriptomics (12 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers) and Pluripotent Stem Cells Research (11 papers). Si Wang collaborates with scholars based in China, United States and Singapore. Si Wang's co-authors include Jing Qu, Guang‐Hui Liu, Weiqi Zhang, Moshi Song, Juan Carlos Izpisúa Belmonte, Zunpeng Liu, Shuai Ma, Piu Chan, Jie Ren and Zeming Wu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Co-authorship network of co-authors of Si Wang i

Fields of papers citing papers by Si Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Si Wang

Since Specialization
Citations

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

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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