Sae Am Song

505 total citations
32 papers, 230 citations indexed

About

Sae Am Song is a scholar working on Epidemiology, Clinical Biochemistry and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sae Am Song has authored 32 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 11 papers in Clinical Biochemistry and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sae Am Song's work include Bacterial Identification and Susceptibility Testing (11 papers), Streptococcal Infections and Treatments (5 papers) and Acute Myeloid Leukemia Research (4 papers). Sae Am Song is often cited by papers focused on Bacterial Identification and Susceptibility Testing (11 papers), Streptococcal Infections and Treatments (5 papers) and Acute Myeloid Leukemia Research (4 papers). Sae Am Song collaborates with scholars based in South Korea, Puerto Rico and Ethiopia. Sae Am Song's co-authors include Jeong Hwan Shin, Si Hyun Kim, Hye Ran Kim, Seok Hoon Jeong, Hyukmin Lee, Sun‐Joo Kim, Ja Young Lee, Eun-Jeong Yoon, Kyungwon Lee and Jeong Nyeo Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, BioMed Research International and Transfusion.

In The Last Decade

Sae Am Song

28 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sae Am Song South Korea 9 115 60 55 44 41 32 230
Dimitra Stafylaki Greece 9 111 1.0× 48 0.8× 97 1.8× 79 1.8× 18 0.4× 31 271
Joana Alves Portugal 8 72 0.6× 32 0.5× 83 1.5× 74 1.7× 32 0.8× 34 278
Hiroki Namikawa Japan 12 103 0.9× 60 1.0× 124 2.3× 95 2.2× 49 1.2× 38 315
Ramya Iyadurai India 11 51 0.4× 25 0.4× 56 1.0× 75 1.7× 31 0.8× 47 282
Chae Hoon Lee South Korea 9 104 0.9× 42 0.7× 144 2.6× 79 1.8× 52 1.3× 26 291
Viktoria Eirini Mavromanolaki Greece 9 169 1.5× 44 0.7× 129 2.3× 77 1.8× 26 0.6× 28 341
Morihiro Iwata Japan 11 122 1.1× 56 0.9× 70 1.3× 100 2.3× 54 1.3× 17 317
T N Jang Taiwan 7 80 0.7× 16 0.3× 138 2.5× 50 1.1× 140 3.4× 12 324
Yoko Takayama Japan 9 100 0.9× 49 0.8× 128 2.3× 107 2.4× 80 2.0× 42 348
Antonia M.O. Machado Brazil 11 86 0.7× 79 1.3× 83 1.5× 45 1.0× 38 0.9× 18 250

Countries citing papers authored by Sae Am Song

Since Specialization
Citations

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

Fields of papers citing papers by Sae Am Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sae Am Song

This figure shows the co-authorship network connecting the top 25 collaborators of Sae Am Song. A scholar is included among the top collaborators of Sae Am 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 Sae Am Song. Sae Am 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.
Song, Sae Am, et al.. (2025). A Nationwide Survey on Standard Blood Culture Protocols and Quality Improvement for the Diagnosis of Sepsis. Laboratory Medicine Online. 15(3). 239–246.
3.
Park, Yoon Soo, et al.. (2023). Clinical usefulness of anaerobic blood culture in pediatric patients with bacteremia. Anaerobe. 84. 102804–102804. 1 indexed citations
6.
Yu, Shinae, Sae Am Song, Kyung Ran Jun, & Jeong Nyeo Lee. (2020). Performance Evaluation of MEDITAPE UC-11A Strip Test in Estimating the Urine Albumin-to-Creatinine Ratio and Urine Protein-to-Creatinine Ratio. Laboratory Medicine Online. 10(1). 52–52. 2 indexed citations
7.
Kim, Si Hyun, Eun-Hee Park, Hyukmin Lee, et al.. (2019). Serotyping and Antimicrobial Susceptibility of Salmonella Isolated in Korea in 2015. SHILAP Revista de lepidopterología. 22(3). 55–55. 3 indexed citations
8.
Kim, Si‐Hyun, Il Kwon Bae, Na Young Kim, et al.. (2019). Development and Evaluation of Multiplex PCR for the Detection of Carbapenemase-ProducingEnterobacteriaceae. SHILAP Revista de lepidopterología. 22(1). 9–9. 3 indexed citations
9.
Kim, Si Hyun, Sae Am Song, Joong‐Ki Kook, et al.. (2017). Evaluation of the Cobas u 701 microscopy analyser compared with urine culture in screening for urinary tract infection. Journal of Medical Microbiology. 66(8). 1110–1113. 3 indexed citations
10.
Song, Sae Am, Eun-Jeong Yoon, Jeong Hwan Shin, et al.. (2016). Outbreak of KPC-2-producing Enterobacteriaceae caused by clonal dissemination of Klebsiella pneumoniae ST307 carrying an IncX3-type plasmid harboring a truncated Tn4401a. Diagnostic Microbiology and Infectious Disease. 87(4). 343–348. 45 indexed citations
11.
Kim, Young Jin, Si Hyun Kim, Hyun-Jung Park, et al.. (2016). MALDI-TOF MS is more accurate than VITEK II ANC card and API Rapid ID 32 A system for the identification of Clostridium species. Anaerobe. 40. 73–75. 11 indexed citations
12.
Kim, Si Hyun, Sae Am Song, Jongyoun Yi, et al.. (2016). Distribution and Antimicrobial Resistance of Streptococcus pneumoniae at Four University Hospitals in Busan and Gyeongnam. Annals of Clinical Microbiology. 19(2). 48–48. 4 indexed citations
13.
Kim, Si Hyun, Jeong Hwan Shin, Jeongha Mok, et al.. (2014). Misidentification ofCandida guilliermondiiasC. famataamong Strains Isolated from Blood Cultures by the VITEK 2 System. BioMed Research International. 2014. 1–6. 19 indexed citations
14.
Jun, Kyung Ran, Sae Am Song, Seung Hwan Oh, et al.. (2014). Serial changes in serum procalcitonin, interleukin 6, and C-reactive protein levels according to non-specific surgical stimulation. Clinical Chemistry and Laboratory Medicine (CCLM). 53(4). 549–58. 8 indexed citations
15.
Song, Sae Am, Ji Hyun Kim, Jeong Hwan Shin, et al.. (2014). Clinical Usefulness of Routine Use of Anaerobic Blood Culture Bottle. Annals of Clinical Microbiology. 17(2). 35–35. 3 indexed citations
16.
Kim, Si Hyun, Jeong Hwan Shin, Ga Won Jeon, et al.. (2014). Comparison of the Clinical Performance of Binax NOW RSV Versus Multiplex RT-PCR for Detection of Respiratory Syncytial Virus. Laboratory Medicine Online. 5(1). 27–27. 2 indexed citations
17.
Lee, Ja Young, Si Hyun Kim, Hyun-Kyung Lee, et al.. (2014). Postsurgical Wound Infection Caused byMycobacterium conceptionenseIdentified by Sequencing of 16S rRNA,hsp65, andrpoBGenes in an Immunocompetent Patient. Annals of Clinical Microbiology. 17(1). 23–23. 2 indexed citations
18.
Shin, Jeong Hwan, Sae Am Song, Mi‐Na Kim, et al.. (2011). Comprehensive Analysis of Blood Culture Performed at Nine University Hospitals in Korea. Annals of Laboratory Medicine. 31(2). 101–106. 16 indexed citations
19.
Jun, Kyung Ran, Jeong Nyeo Lee, Jeong A Park, et al.. (2011). Three-way Translocation of MLL/MLLT3, t(1;9;11)(p34.2;p22;q23), in a Pediatric Case of Acute Myeloid Leukemia. Annals of Laboratory Medicine. 31(2). 127–129. 2 indexed citations
20.
Oh, Seung Hwan, Tae Sung Park, Jong Rak Choi, et al.. (2010). Two childhood cases of acute leukemia with t(16;21)(p11.2;q22): second case report of infantile acute lymphoblastic leukemia with unusual type of FUS-ERG chimeric transcript. Cancer Genetics and Cytogenetics. 200(2). 180–183. 10 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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