Peiran Song

29 papers and 609 indexed citations i.

About

Peiran Song is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Peiran Song has authored 29 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Genetics. Recurrent topics in Peiran Song’s work include Chronic Lymphocytic Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (5 papers) and Advanced MIMO Systems Optimization (4 papers). Peiran Song is often cited by papers focused on Chronic Lymphocytic Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (5 papers) and Advanced MIMO Systems Optimization (4 papers). Peiran Song collaborates with scholars based in China, United States and Hong Kong. Peiran Song's co-authors include Gesualdo Scutari, Francisco Facchinei, Daniel P. Palomar, Jong‐Shi Pang, Jiacan Su, Lorenzo Lampariello, Zhongmin Shi, Sicheng Wang, Stefania Sardellitti and Xiaoxiang Ren and has published in prestigious journals such as Journal of Medicinal Chemistry, IEEE Transactions on Signal Processing and Molecules.

In The Last Decade

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

Fields of papers citing papers by Peiran Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peiran Song

Since Specialization
Citations

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