Junghan Song

4.2k total citations
207 papers, 3.2k citations indexed

About

Junghan Song is a scholar working on Molecular Biology, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Junghan Song has authored 207 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 45 papers in Epidemiology and 37 papers in Clinical Biochemistry. Recurrent topics in Junghan Song's work include Metabolism and Genetic Disorders (25 papers), Tuberculosis Research and Epidemiology (21 papers) and Mycobacterium research and diagnosis (12 papers). Junghan Song is often cited by papers focused on Metabolism and Genetic Disorders (25 papers), Tuberculosis Research and Epidemiology (21 papers) and Mycobacterium research and diagnosis (12 papers). Junghan Song collaborates with scholars based in South Korea, Ethiopia and United States. Junghan Song's co-authors include Kyoung Un Park, Jin Q Kim, Sang Hoon Song, Seung Ho Hong, Jae Ho Lee, Yeomin Yoon, Hyung‐Doo Park, Kyunghoon Lee, Yeo‐Min Yun and Sang Mee Hwang and has published in prestigious journals such as Nature Communications, Applied Physics Letters and PLoS ONE.

In The Last Decade

Junghan Song

197 papers receiving 3.1k 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 28 741 579 540 536 391 207 3.2k
Cyril Mamotte Australia 26 798 1.1× 298 0.5× 548 1.0× 302 0.6× 209 0.5× 67 3.4k
Zhibo Gai China 31 1.3k 1.7× 419 0.7× 222 0.4× 629 1.2× 131 0.3× 72 3.3k
Yazen Alnouti United States 33 1.0k 1.4× 612 1.1× 196 0.4× 608 1.1× 150 0.4× 91 3.5k
Helmut Wächter Austria 38 999 1.3× 777 1.3× 586 1.1× 558 1.0× 609 1.6× 109 4.5k
Yoshio Uehara Japan 27 1.0k 1.4× 294 0.5× 600 1.1× 334 0.6× 108 0.3× 114 3.4k
Tomohiro Nakayama Japan 30 958 1.3× 488 0.8× 406 0.8× 146 0.3× 129 0.3× 223 3.6k
Katherine A. Lyseng‐Williamson New Zealand 33 755 1.0× 451 0.8× 374 0.7× 329 0.6× 64 0.2× 225 3.8k
Fuu‐Jen Tsai Taiwan 35 1.6k 2.1× 463 0.8× 545 1.0× 144 0.3× 91 0.2× 275 4.2k
Masato Maekawa Japan 33 1.6k 2.2× 335 0.6× 463 0.9× 128 0.2× 206 0.5× 222 3.9k

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

20 of 20 papers shown
1.
Holdenrieder, Stefan, Yeo‐Min Yun, Dina Patel, et al.. (2024). External quality assessment-based tumor marker harmonization simulation; Insights in achievable harmonization for CA 15–3 and CEA. Clinica Chimica Acta. 558. 119110–119110. 1 indexed citations
2.
Rossum, Huub H. van, Stefan Holdenrieder, Bart E.P.B. Ballieux, et al.. (2024). Investigating the Current Harmonization Status of Tumor Markers Using Global External Quality Assessment Programs: A Feasibility Study. Clinical Chemistry. 70(4). 669–679. 6 indexed citations
3.
4.
Rossum, Huub H. van, Stefan Holdenrieder, Yeo‐Min Yun, et al.. (2024). External quality assessment-based tumor marker harmonization simulation; insights in achievable harmonization for CA 15-3 and CEA. Clinical Chemistry and Laboratory Medicine (CCLM). 63(2). 410–421.
5.
Kim, Sollip, Tae‐Dong Jeong, Kyunghoon Lee, et al.. (2024). Quantitative Evaluation of the Real-World Harmonization Status of Laboratory Test Items Using External Quality Assessment Data. Annals of Laboratory Medicine. 44(6). 529–536. 6 indexed citations
6.
Heo, Eunjeong, Hyung-Sook Kim, Jongtak Jung, et al.. (2023). Evaluation of Vancomycin TDM Strategies: Prediction and Prevention of Kidney Injuries Based on Vancomycin TDM Results. Journal of Korean Medical Science. 38(14). e101–e101. 8 indexed citations
7.
Lee, Hyunseung, et al.. (2022). The negative role of Vitamin C in total cholesterol and triglycerides tests. Laboratory Medicine Online. 13(1). 13–21. 1 indexed citations
8.
Jeong, Tae‐Dong, Eun‐Jung Cho, Kyunghoon Lee, et al.. (2021). Recent Trends in Creatinine Assays in Korea: Long-Term Accuracy-Based Proficiency Testing Survey Data by the Korean Association of External Quality Assessment Service (2011–2019). Annals of Laboratory Medicine. 41(4). 372–379. 11 indexed citations
9.
Kim, Taek Soo, Junghan Song, Wooin Lee, et al.. (2021). Analysis of the Current Status of Liver Cancer Screening Institutions and Proficiency of Institutions that Conduct Alpha-fetoprotein Tests. Laboratory Medicine Online. 11(4). 245–253.
10.
Sung, Ji Yeon, Dae‐Hyun Ko, Min-Jeong Park, et al.. (2020). Establishment of Pediatric Reference Intervals for Routine Laboratory Tests in Korean Population: A Retrospective Multicenter Analysis. Annals of Laboratory Medicine. 41(2). 155–170. 8 indexed citations
11.
Lee, Seung Hoon, Jung Min Ko, Mi Kyoung Song, Junghan Song, & Kyung Park. (2020). A Korean child diagnosed with malonic aciduria harboring a novel start codon mutation following presentation with dilated cardiomyopathy. Molecular Genetics & Genomic Medicine. 8(9). e1379–e1379. 5 indexed citations
12.
Lee, Kyunghoon, et al.. (2019). Accurate and Rapid Measurement of Glycated Hemoglobin Using HLC-723 G11 Variant Mode. Annals of Laboratory Medicine. 39(3). 243–243. 1 indexed citations
13.
Chae, Hyojin, Hyung‐Doo Park, Sail Chun, et al.. (2019). Use of Liquid Chromatography-Tandem Mass Spectrometry for Clinical Testing in Korean Laboratories: a Questionnaire Survey. Annals of Laboratory Medicine. 39(5). 447–453. 7 indexed citations
14.
Choi, Rihwa, et al.. (2019). Dried Blood Spot Multiplexed Steroid Profiling Using Liquid Chromatography Tandem Mass Spectrometry in Korean Neonates. Annals of Laboratory Medicine. 39(3). 263–263. 2 indexed citations
15.
Lee, Kyunghoon, et al.. (2019). Accurate and Rapid Measurement of Glycated Hemoglobin Using HLC-723 G11 Variant Mode. Annals of Laboratory Medicine. 39(3). 237–244. 3 indexed citations
16.
Chung, Soie, et al.. (2015). Six Years’ Experience of Accuracy-Based Profi ciency Testing for HbA1c in Korea. 37(2). 92–100. 4 indexed citations
17.
18.
Kim, Kwang‐Il, Kyoung Un Park, Eun Ju Chun, et al.. (2011). A Novel Biomarker of Coronary Atherosclerosis: Serum DKK1 Concentration Correlates with Coronary Artery Calcification and Atherosclerotic Plaques. Journal of Korean Medical Science. 26(9). 1178–1178. 51 indexed citations
19.
Jun, Sun‐Young, So‐Yong Kwon, Sang‐Hoon Song, et al.. (2008). Detection of Bacterial Contamination of Platelets Using the Real-time Polymerase Chain Reaction. The Korean Journal of Blood Transfusion. 19(1). 33–42. 2 indexed citations
20.
Shim, Kye Shik, Jin Soon Hwang, Jung Sub Lim, et al.. (1999). Re-Evaluation of Neonatal Screening Tests for Inborn Errors of Metabolism with Dried Filter Paper Blood Spots. Korean Journal of Pediatrics. 42(12). 1639–1644. 2 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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