Pamela Song

32 papers and 425 indexed citations i.

About

Pamela Song is a scholar working on Pulmonary and Respiratory Medicine, Neurology and Epidemiology. According to data from OpenAlex, Pamela Song has authored 32 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 8 papers in Neurology and 7 papers in Epidemiology. Recurrent topics in Pamela Song’s work include Cerebrovascular and Carotid Artery Diseases (5 papers), Acute Ischemic Stroke Management (5 papers) and Sleep and related disorders (4 papers). Pamela Song is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (5 papers), Acute Ischemic Stroke Management (5 papers) and Sleep and related disorders (4 papers). Pamela Song collaborates with scholars based in South Korea, United States and Saudi Arabia. Pamela Song's co-authors include Hyeon‐Kyoung Koo, Eun Yeon Joo, Kwang Ho Lee, Gyeong‐Moon Kim, Hoon Jung, Sung-Soon Lee, Hye Kyeong Park, Hyung Koo Kang, Chin‐Sang Chung and Keun‐Sik Hong and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Stroke.

In The Last Decade

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

Fields of papers citing papers by Pamela Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pamela Song

Since Specialization
Citations

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