Song Wen

56 papers and 1.2k indexed citations i.

About

Song Wen is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Song Wen has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 14 papers in Molecular Biology and 11 papers in Surgery. Recurrent topics in Song Wen’s work include Diet and metabolism studies (9 papers), Diabetes Treatment and Management (8 papers) and Pancreatic Islet Dysfunction and Regeneration (7 papers). Song Wen is often cited by papers focused on Diet and metabolism studies (9 papers), Diabetes Treatment and Management (8 papers) and Pancreatic Islet Dysfunction and Regeneration (7 papers). Song Wen collaborates with scholars based in China, United States and Hong Kong. Song Wen's co-authors include Ligang Zhou, Ying Cui, Gao‐Jun Teng, Ning Gu, Shenghong Ju, Yun Jiao, Yu‐Chen Chen, Min Gong, Gao‐Jun Teng and Chaoxun Wang and has published in prestigious journals such as Advanced Materials, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Song Wen i

Fields of papers citing papers by Song Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Wen

Since Specialization
Citations

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