Saera Song

7 papers and 538 indexed citations i.

About

Saera Song is a scholar working on Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Saera Song has authored 7 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Saera Song’s work include Parkinson's Disease Mechanisms and Treatments (3 papers), Autophagy in Disease and Therapy (3 papers) and Nuclear Receptors and Signaling (2 papers). Saera Song is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), Autophagy in Disease and Therapy (3 papers) and Nuclear Receptors and Signaling (2 papers). Saera Song collaborates with scholars based in South Korea, United States and Ukraine. Saera Song's co-authors include Jongkyeong Chung, Seok‐Kyu Kwon, Sunhong Kim, Yong Sung Kim, Jin‐Man Kim, Jeehye Park, Tohru Kitada, Sang‐Hee Lee, Seung Tae Baek and Joseph G. Gleeson and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Biochemical and Biophysical Research Communications.

In The Last Decade

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

Fields of papers citing papers by Saera Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saera Song

Since Specialization
Citations

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