Xinwen Song

11 papers and 382 indexed citations i.

About

Xinwen Song is a scholar working on Epidemiology, Molecular Biology and Cancer Research. According to data from OpenAlex, Xinwen Song has authored 11 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Xinwen Song’s work include Liver Disease Diagnosis and Treatment (4 papers), MicroRNA in disease regulation (3 papers) and Cancer-related molecular mechanisms research (2 papers). Xinwen Song is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), MicroRNA in disease regulation (3 papers) and Cancer-related molecular mechanisms research (2 papers). Xinwen Song collaborates with scholars based in China and United States. Xinwen Song's co-authors include Haili Gao, Lijuan Hou, Hongwei Wang, Amy Harrington, Douglas Ziedonis, Luxian Lv, Xueqin Song, Jianjiang Zhang, Wei Zhang and Xiaoduo Fan and has published in prestigious journals such as Schizophrenia Research, BioMed Research International and Virus Research.

In The Last Decade

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

Fields of papers citing papers by Xinwen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xinwen Song

Since Specialization
Citations

This map shows the geographic impact of Xinwen Song'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 Xinwen Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinwen Song 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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2025