Tae Won Song

59 total papers · 923 total citations
33 papers, 548 citations indexed

About

Tae Won Song is a scholar working on Immunology and Allergy, Physiology and Dermatology. According to data from OpenAlex, Tae Won Song has authored 33 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology and Allergy, 11 papers in Physiology and 10 papers in Dermatology. Recurrent topics in Tae Won Song's work include Food Allergy and Anaphylaxis Research (15 papers), Asthma and respiratory diseases (11 papers) and Allergic Rhinitis and Sensitization (11 papers). Tae Won Song is often cited by papers focused on Food Allergy and Anaphylaxis Research (15 papers), Asthma and respiratory diseases (11 papers) and Allergic Rhinitis and Sensitization (11 papers). Tae Won Song collaborates with scholars based in South Korea, United States and Nigeria. Tae Won Song's co-authors include Kyung Won Kim, Myung Hyun Sohn, Kyu‐Earn Kim, Kyu-Earn Kim, Jung‐Won Park, Kyung Eun Lee, Sooyoung Lee, Bok Yang Pyun, Hye Yung Yum and Mi Na Kim and has published in prestigious journals such as Scientific Reports, Journal of Allergy and Clinical Immunology and Allergy.

In The Last Decade

Tae Won Song

28 papers receiving 530 citations

Author Peers

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

Author						Papers	Cites
Tae Won Song	296	269	191	120	65	33	548
Metin Aydoğan	199 0.7×	203 0.8×	126 0.7×	86 0.7×	61 0.9×	41	543
Melanie Makhija	258 0.9×	188 0.7×	165 0.9×	55 0.5×	97 1.5×	34	533
Yong Mean Park	271 0.9×	313 1.2×	84 0.4×	124 1.0×	88 1.4×	40	581
Marit Westman	371 1.3×	417 1.6×	89 0.5×	107 0.9×	66 1.0×	23	599
Shinji Shinoda	207 0.7×	313 1.2×	68 0.4×	122 1.0×	55 0.8×	40	515
Ina Callebaut	257 0.9×	260 1.0×	124 0.6×	65 0.5×	81 1.2×	37	590
Kyu-Earn Kim	241 0.8×	291 1.1×	100 0.5×	134 1.1×	57 0.9×	27	538
Ferhan Özşeker	230 0.8×	137 0.5×	116 0.6×	92 0.8×	56 0.9×	33	502
Nikolaos Douladiris	215 0.7×	372 1.4×	57 0.3×	136 1.1×	51 0.8×	27	524
Frank Friedrichs	299 1.0×	395 1.5×	111 0.6×	168 1.4×	48 0.7×	31	540

Countries citing papers authored by Tae Won Song

Since Specialization

Citations

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

Fields of papers citing papers by Tae Won Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae Won Song

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