Ju Han Song

38 total papers · 792 total citations
31 papers, 625 citations indexed

About

Ju Han Song is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Ju Han Song has authored 31 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Immunology. Recurrent topics in Ju Han Song's work include Retinoids in leukemia and cellular processes (7 papers), Bone Metabolism and Diseases (6 papers) and Natural product bioactivities and synthesis (4 papers). Ju Han Song is often cited by papers focused on Retinoids in leukemia and cellular processes (7 papers), Bone Metabolism and Diseases (6 papers) and Natural product bioactivities and synthesis (4 papers). Ju Han Song collaborates with scholars based in South Korea, United States and Switzerland. Ju Han Song's co-authors include Tae Sung Kim, Jeong‐Tae Koh, Sin‐Hye Oh, Mi Nam Lee, Jung-Woo Kim, Eung‐Sam Kim, Heesu Hwang, Amir Roshanzadeh, Myun Soo Kim and Seung Yong Hwang and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Biochemical and Biophysical Research Communications.

In The Last Decade

Ju Han Song

28 papers receiving 622 citations

Author Peers

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

Author Last Decade Papers Cites
Ju Han Song 344 96 88 84 81 31 625
Jiayun Hou 295 0.9× 111 1.2× 94 1.1× 52 0.6× 120 1.5× 29 578
Chenxi Yang 305 0.9× 63 0.7× 69 0.8× 116 1.4× 60 0.7× 44 751
Qing Shi 286 0.8× 92 1.0× 75 0.9× 101 1.2× 115 1.4× 39 593
Xiaochen Liu 280 0.8× 99 1.0× 147 1.7× 112 1.3× 85 1.0× 25 671
Zohreh Jahanafrooz 328 1.0× 94 1.0× 121 1.4× 47 0.6× 79 1.0× 25 705
I‐Neng Lee 330 1.0× 80 0.8× 72 0.8× 57 0.7× 99 1.2× 28 662
Agata Szade 345 1.0× 78 0.8× 114 1.3× 68 0.8× 79 1.0× 22 669
Shuo Ni 384 1.1× 86 0.9× 75 0.9× 104 1.2× 194 2.4× 25 787
Yechen Xiao 383 1.1× 96 1.0× 132 1.5× 47 0.6× 95 1.2× 29 729
Hyun‐Mi Ko 272 0.8× 73 0.8× 181 2.1× 76 0.9× 107 1.3× 32 633

Countries citing papers authored by Ju Han Song

Since Specialization
Citations

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

Fields of papers citing papers by Ju Han Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju Han Song

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