Song Yi Bae

90 total papers · 880 total citations
29 papers, 623 citations indexed

About

Song Yi Bae is a scholar working on Molecular Biology, Biotechnology and Oncology. According to data from OpenAlex, Song Yi Bae has authored 29 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Biotechnology and 6 papers in Oncology. Recurrent topics in Song Yi Bae's work include Marine Sponges and Natural Products (7 papers), PARP inhibition in cancer therapy (3 papers) and Alzheimer's disease research and treatments (3 papers). Song Yi Bae is often cited by papers focused on Marine Sponges and Natural Products (7 papers), PARP inhibition in cancer therapy (3 papers) and Alzheimer's disease research and treatments (3 papers). Song Yi Bae collaborates with scholars based in South Korea, United States and Canada. Song Yi Bae's co-authors include Sang Kook Lee, Ji‐Young Hong, Hyen Joo Park, Jongheon Shin, Seulgi Kim, Hye‐Jung Lee, Won Kyung Kim, Hyejung Lee, Gi Dae Kim and Ju‐eun Jeon and has published in prestigious journals such as PLoS ONE, Cancer Research and Analytical Biochemistry.

In The Last Decade

Song Yi Bae

29 papers receiving 618 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Song Yi Bae 334 119 105 104 85 29 623
Myung‐Ae Bae 344 1.0× 143 1.2× 99 0.9× 57 0.5× 79 0.9× 28 760
Jiaxing Song 330 1.0× 89 0.7× 67 0.6× 75 0.7× 58 0.7× 29 585
Dipita Bhakta-Guha 374 1.1× 208 1.7× 64 0.6× 85 0.8× 109 1.3× 18 753
Wei‐Heng Xu 302 0.9× 77 0.6× 105 1.0× 61 0.6× 71 0.8× 31 626
Sheng Zhang 359 1.1× 133 1.1× 45 0.4× 43 0.4× 82 1.0× 42 679
Ankur Karmokar 305 0.9× 136 1.1× 67 0.6× 39 0.4× 76 0.9× 15 639
Jun‐ichi Onose 255 0.8× 90 0.8× 158 1.5× 57 0.5× 38 0.4× 40 636
Huma Naz 366 1.1× 89 0.7× 70 0.7× 30 0.3× 91 1.1× 50 774
Marina Bonfanti 330 1.0× 99 0.8× 75 0.7× 73 0.7× 130 1.5× 38 582
Takako Ikeda 277 0.8× 69 0.6× 104 1.0× 45 0.4× 93 1.1× 35 626

Countries citing papers authored by Song Yi Bae

Since Specialization
Citations

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

Fields of papers citing papers by Song Yi Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Yi Bae

This figure shows the co-authorship network connecting the top 25 collaborators of Song Yi Bae. A scholar is included among the top collaborators of Song Yi Bae based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Song Yi Bae. Song Yi Bae is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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