Song Baik

16 total papers · 834 total citations
12 papers, 596 citations indexed

About

Song Baik is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems. According to data from OpenAlex, Song Baik has authored 12 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 5 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in Song Baik's work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (9 papers) and Adrenal Hormones and Disorders (5 papers). Song Baik is often cited by papers focused on T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (9 papers) and Adrenal Hormones and Disorders (5 papers). Song Baik collaborates with scholars based in United Kingdom, Japan and South Korea. Song Baik's co-authors include Graham Anderson, William E. Jenkinson, Yousuke Takahama, Izumi Ohigashi, Eric J. Jenkinson, Peter J. L. Lane, Sonia M. Parnell, Andrea J. White, Jennifer E. Cowan and Nicholas I. McCarthy and has published in prestigious journals such as The Journal of Experimental Medicine, Nature reviews. Immunology and The Journal of Immunology.

In The Last Decade

Song Baik

12 papers receiving 595 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 Baik 380 146 125 121 56 12 596
David B. Klug 332 0.9× 195 1.3× 92 0.7× 134 1.1× 37 0.7× 8 601
Noam Kadouri 285 0.8× 243 1.7× 107 0.9× 141 1.2× 25 0.4× 11 624
Jennifer E. Cowan 498 1.3× 131 0.9× 115 0.9× 122 1.0× 23 0.4× 19 670
Cunlan Liu 451 1.2× 169 1.2× 76 0.6× 166 1.4× 14 0.3× 11 653
Noriyuki Tsukamoto 160 0.4× 355 2.4× 45 0.4× 95 0.8× 33 0.6× 10 616
Charles Sinclair 445 1.2× 136 0.9× 46 0.4× 153 1.3× 17 0.3× 15 596
Queenie Vong 200 0.5× 325 2.2× 94 0.8× 145 1.2× 17 0.3× 14 654
Charles St-Pierre 344 0.9× 302 2.1× 42 0.3× 185 1.5× 18 0.3× 8 593
Hélène Favre 119 0.3× 207 1.4× 114 0.9× 242 2.0× 13 0.2× 10 504
Frances H. Stenhouse 135 0.4× 264 1.8× 46 0.4× 58 0.5× 47 0.8× 10 498

Countries citing papers authored by Song Baik

Since Specialization
Citations

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

Fields of papers citing papers by Song Baik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Baik

This figure shows the co-authorship network connecting the top 25 collaborators of Song Baik. A scholar is included among the top collaborators of Song Baik 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 Baik. Song Baik 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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2026