Ho‐Juhn Song

472 total citations
11 papers, 362 citations indexed

About

Ho‐Juhn Song is a scholar working on Immunology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Ho‐Juhn Song has authored 11 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Organic Chemistry. Recurrent topics in Ho‐Juhn Song's work include Mast cells and histamine (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Ho‐Juhn Song is often cited by papers focused on Mast cells and histamine (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Ho‐Juhn Song collaborates with scholars based in South Korea, United States and Belgium. Ho‐Juhn Song's co-authors include Barbara J. Taylor, Stephen F. Goodwin, Bruce S. Baker, Troy Carlo, Donald A. Gailey, Jeffrey C. Hall, Ana Morales, Adriana Villella, Anuranjan Anand and Lisa Ryner and has published in prestigious journals such as Blood, PLoS ONE and Genetics.

In The Last Decade

Ho‐Juhn Song

11 papers receiving 360 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ho‐Juhn Song South Korea 8 164 133 118 99 59 11 362
Hyeseok Shim United States 5 120 0.7× 330 2.5× 65 0.6× 19 0.2× 52 0.9× 5 470
Sara Orgad Israel 7 71 0.4× 281 2.1× 68 0.6× 32 0.3× 39 0.7× 12 426
Daniel Comas France 8 195 1.2× 124 0.9× 141 1.2× 76 0.8× 61 1.0× 13 455
Carrie A. Stoltzman United States 7 108 0.7× 384 2.9× 63 0.5× 19 0.2× 42 0.7× 15 553
Meridee Phistry United States 7 126 0.8× 247 1.9× 53 0.4× 41 0.4× 29 0.5× 9 472
Theodore Busby United States 6 146 0.9× 281 2.1× 54 0.5× 20 0.2× 48 0.8× 9 396
T M Schepers United States 9 163 1.0× 351 2.6× 24 0.2× 10 0.1× 96 1.6× 11 474
Nirmalya Chatterjee United States 7 110 0.7× 334 2.5× 28 0.2× 12 0.1× 91 1.5× 7 515
Janine Fenton United Kingdom 7 163 1.0× 170 1.3× 57 0.5× 15 0.2× 80 1.4× 7 326

Countries citing papers authored by Ho‐Juhn Song

Since Specialization
Citations

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

Fields of papers citing papers by Ho‐Juhn Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ho‐Juhn Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ho‐Juhn Song. A scholar is included among the top collaborators of Ho‐Juhn 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 Ho‐Juhn Song. Ho‐Juhn Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Hong, Min Hee, Jong Sung Koh, Byung‐Chul Suh, et al.. (2017). P3.02b-119 YH25448, a Highly Selective 3rd Generation EGFR TKI, Exhibits Superior Survival over Osimertinib in Animal Model with Brain Metastases from NSCLC. Journal of Thoracic Oncology. 12(1). S1265–S1266. 7 indexed citations
3.
Lee, Sang Jae, Jang‐Sik Choi, Hyoun Sook Kim, et al.. (2016). Crystal structures of spleen tyrosine kinase in complex with novel inhibitors: structural insights for design of anticancer drugs. FEBS Journal. 283(19). 3613–3625. 9 indexed citations
4.
Choi, Jang‐Sik, Byung Il Lee, Ho‐Juhn Song, et al.. (2015). Highly potent and selective pyrazolylpyrimidines as Syk kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 25(20). 4441–4446. 14 indexed citations
5.
Lee, In Yong, Dong Sik Jung, Sang Yeop Lee, et al.. (2014). G-749, a novel FLT3 kinase inhibitor, can overcome drug resistance for the treatment of acute myeloid leukemia. Blood. 123(14). 2209–2219. 47 indexed citations
6.
Lee, Sang Jae, et al.. (2013). Crystal Structure of Pim1 Kinase in Complex with a Pyrido[4,3-D]Pyrimidine Derivative Suggests a Unique Binding Mode. PLoS ONE. 8(7). e70358–e70358. 14 indexed citations
7.
Cao, Weihuan, et al.. (2008). Identification of Novel Genes That Modify Phenotypes Induced by Alzheimer's β-Amyloid Overexpression in Drosophila. Genetics. 178(3). 1457–1471. 75 indexed citations
8.
Konsolaki, Mary, et al.. (2004). P2-109 Drosophila models of Alzheimer's-related pathways. Neurobiology of Aging. 25. S255–S255. 2 indexed citations
9.
Song, Ho‐Juhn & Barbara J. Taylor. (2003). fruitless Gene is required to maintain neuronal identity in evenskipped‐expressing neurons in the embryonic CNS of Drosophila. Journal of Neurobiology. 55(2). 115–133. 10 indexed citations
10.
Song, Ho‐Juhn, Jean‐Christophe Billeter, Enrique Reynaud, et al.. (2002). The fruitless Gene Is Required for the Proper Formation of Axonal Tracts in the Embryonic Central Nervous System of Drosophila. Genetics. 162(4). 1703–1724. 54 indexed citations
11.
Anand, Anuranjan, Adriana Villella, Lisa Ryner, et al.. (2001). Molecular Genetic Dissection of the Sex-Specific and Vital Functions of the Drosophila melanogaster Sex Determination Gene fruitless. Genetics. 158(4). 1569–1595. 129 indexed citations

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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