Hae Jun Song

138 total papers · 701 total citations
55 papers, 422 citations indexed

About

Hae Jun Song is a scholar working on Dermatology, Epidemiology and Immunology. According to data from OpenAlex, Hae Jun Song has authored 55 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Dermatology, 19 papers in Epidemiology and 11 papers in Immunology. Recurrent topics in Hae Jun Song's work include Psoriasis: Treatment and Pathogenesis (10 papers), Dermatology and Skin Diseases (8 papers) and Nail Diseases and Treatments (5 papers). Hae Jun Song is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (10 papers), Dermatology and Skin Diseases (8 papers) and Nail Diseases and Treatments (5 papers). Hae Jun Song collaborates with scholars based in South Korea, China and Japan. Hae Jun Song's co-authors include Chil Hwan Oh, Jiehyun Jeon, Chang Kyu Lee, Yoo Sang Baek, Hwa Jung Ryu, Woo Joo Kim, Nack In Kim, Tae Seok Oh, Yayoi Tada and Colin Theng and has published in prestigious journals such as Scientific Reports, Journal of the American Academy of Dermatology and International Journal of Infectious Diseases.

In The Last Decade

Hae Jun Song

52 papers receiving 409 citations

Author Peers

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

Author Last Decade Papers Cites
Hae Jun Song 174 116 89 76 56 55 422
Ferda Artüz 197 1.1× 118 1.0× 97 1.1× 73 1.0× 86 1.5× 54 402
Preya Kullavanijaya 174 1.0× 131 1.1× 69 0.8× 61 0.8× 59 1.1× 33 445
Ayşe Esra Koku Aksu 238 1.4× 79 0.7× 59 0.7× 53 0.7× 41 0.7× 62 385
A. Ledo 206 1.2× 109 0.9× 120 1.3× 99 1.3× 86 1.5× 41 466
Yasuhiro Horiuchi 134 0.8× 62 0.5× 64 0.7× 51 0.7× 52 0.9× 67 381
Fatih Göktay 187 1.1× 214 1.8× 50 0.6× 76 1.0× 100 1.8× 58 473
J.‐L. Perrot 194 1.1× 122 1.1× 61 0.7× 70 0.9× 47 0.8× 36 442
Sonja Vesić 130 0.7× 101 0.9× 60 0.7× 68 0.9× 34 0.6× 26 381
Emel Feti̇l 198 1.1× 52 0.4× 86 1.0× 70 0.9× 66 1.2× 42 433
Renu George 149 0.9× 140 1.2× 85 1.0× 80 1.1× 114 2.0× 45 451

Countries citing papers authored by Hae Jun Song

Since Specialization
Citations

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

Fields of papers citing papers by Hae Jun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hae Jun Song

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