Junghan Song

474 total citations
11 papers, 362 citations indexed

About

Junghan Song is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Junghan Song has authored 11 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Junghan Song's work include Peroxisome Proliferator-Activated Receptors (3 papers), Erythrocyte Function and Pathophysiology (2 papers) and Blood groups and transfusion (2 papers). Junghan Song is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (3 papers), Erythrocyte Function and Pathophysiology (2 papers) and Blood groups and transfusion (2 papers). Junghan Song collaborates with scholars based in South Korea and United States. Junghan Song's co-authors include Annie E. Hill, Monica J. Justice, Lindsay C. Burrage, Eric S. Lander, David V. Conti, William E. O’Brien, John S. Witte, Jonathan B. Singer, Joseph H. Nadeau and Jin Q Kim and has published in prestigious journals such as Science, British Journal of Clinical Pharmacology and Clinical Biochemistry.

In The Last Decade

Junghan Song

11 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junghan Song South Korea 6 163 125 83 58 46 11 362
Xueqing Qian China 11 131 0.8× 269 2.2× 19 0.2× 30 0.5× 26 0.6× 25 537
Robert Vadnal United States 11 44 0.3× 123 1.0× 55 0.7× 43 0.7× 42 0.9× 20 353
Kevin L. Boehme United States 9 98 0.6× 115 0.9× 38 0.5× 181 3.1× 15 0.3× 12 390
Angela Schmidt Germany 9 101 0.6× 201 1.6× 25 0.3× 91 1.6× 8 0.2× 21 426
Graeme Preston United States 12 53 0.3× 224 1.8× 22 0.3× 37 0.6× 22 0.5× 20 354
Abdulaziz Alsemari Saudi Arabia 10 83 0.5× 174 1.4× 20 0.2× 21 0.4× 23 0.5× 26 366
Mário Campos Brazil 12 160 1.0× 154 1.2× 20 0.2× 83 1.4× 54 1.2× 40 376
Jun-ichi SUTO Japan 10 273 1.7× 163 1.3× 31 0.4× 117 2.0× 67 1.5× 51 457
Mio Tonouchi Canada 9 46 0.3× 260 2.1× 58 0.7× 246 4.2× 15 0.3× 9 478
Simon D. Rees United Kingdom 9 196 1.2× 149 1.2× 10 0.1× 106 1.8× 55 1.2× 11 456

Countries citing papers authored by Junghan Song

Since Specialization
Citations

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

Fields of papers citing papers by Junghan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junghan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Junghan Song. A scholar is included among the top collaborators of Junghan 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 Junghan Song. Junghan 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
1.
Kim, Eun Sun, Byoung Soo Kwon, Jong Sun Park, et al.. (2021). Relationship among genetic polymorphism of SLCO1B1, rifampicin exposure and clinical outcomes in patients with active pulmonary tuberculosis. British Journal of Clinical Pharmacology. 87(9). 3492–3500. 7 indexed citations
2.
Chang, Ho Eun, Kyung Lee, Yun Ji Hong, et al.. (2011). Three Cases of Anti-K and the KEL Gene Frequency in the Korean Population. The Korean Journal of Blood Transfusion. 22(1). 31–37. 3 indexed citations
3.
Moon, Hee‐Won, Yeo‐Min Yun, Hahn Young Kim, et al.. (2011). The effect of CYP2C9, VKORC1 genotypes and old age on warfarin pharmacologic sensitivity in korean patients with thromboembolic disease.. PubMed. 41(3). 229–35. 4 indexed citations
4.
Park, Chul Min, et al.. (2007). Determination of the RhC/c Blood Group by Polymerase Chain Reaction with Sequence-specific Primers of the Intron 2 Insert of the RHCE Gene. The Korean Journal of Blood Transfusion. 18(3). 138–144. 1 indexed citations
5.
Yun, Yeo‐Min, et al.. (2007). CD36 polymorphism and its relationship with body mass index and coronary artery disease in a Korean population. Clinical Chemistry and Laboratory Medicine (CCLM). 45(10). 1277–82. 17 indexed citations
6.
Song, Junghan, et al.. (2005). Alleles for Associated with $Fy^{a},\;Fy^{b},\;Fy^{x}$and Fy Antigens in a Korean Population. The Korean Journal of Blood Transfusion. 16(2). 209–217. 1 indexed citations
7.
Singer, Jonathan B., Annie E. Hill, Lindsay C. Burrage, et al.. (2004). Genetic Dissection of Complex Traits with Chromosome Substitution Strains of Mice. Science. 304(5669). 445–448. 260 indexed citations
8.
Hong, Seung Ho, Young Ree Kim, Junghan Song, & Jin Q Kim. (2001). Genetic Variations of Cholesterol Ester Transfer Protein Gene in Koreans. Human Biology. 73(6). 815–821. 9 indexed citations
9.
Hong, Seung Ho, Junghan Song, Won Ki Min, & Jin Q Kim. (2001). Genetic variations of the paraoxonase gene in patients with coronary artery disease. Clinical Biochemistry. 34(6). 475–481. 44 indexed citations
11.
Hong, Seung Ho, et al.. (1998). Association between Apolipoprotein(a) Polymorphism and Lp(a) Levels in Koreans. Molecules and Cells. 8(5). 544–549. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026