Saeam Shin

1.5k total citations
114 papers, 893 citations indexed

About

Saeam Shin is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Saeam Shin has authored 114 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 33 papers in Cancer Research and 31 papers in Hematology. Recurrent topics in Saeam Shin's work include Cancer Genomics and Diagnostics (30 papers), Acute Myeloid Leukemia Research (16 papers) and Lymphoma Diagnosis and Treatment (12 papers). Saeam Shin is often cited by papers focused on Cancer Genomics and Diagnostics (30 papers), Acute Myeloid Leukemia Research (16 papers) and Lymphoma Diagnosis and Treatment (12 papers). Saeam Shin collaborates with scholars based in South Korea, United States and United Kingdom. Saeam Shin's co-authors include Kyung‐A Lee, Seung‐Tae Lee, Jong Rak Choi, Yoonjung Kim, Ky Young Cho, Sun-Mi Cho, Borahm Kim, Yunsop Chong, Dongju Won and Juwon Kim and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Saeam Shin

101 papers receiving 883 citations

Peers

Saeam Shin

PRM

ONCOL

HEMAT

Ram P. Singh United States

Daiichiro Hasegawa Japan

Davide Vacirca Italy

Anastasios D. Papanastasiou Greece

Sofia Grigoriadou United Kingdom

Anniek Corveleyn Belgium

Chie Kobayashi Japan

Mark Hoogenboezem Netherlands

Alexandre Bolze United States

Christopher Dunham Canada

Ram P. Singh United States

Saeam Shin

467 ×1.3

242 ×1.0

58 ×0.4

PRM

191 ×1.6

ONCOL

56 ×0.5

HEMAT

Citations per year, relative to Saeam Shin Saeam Shin (= 1×) peers Ram P. Singh

Countries citing papers authored by Saeam Shin

Since Specialization

Citations

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

Fields of papers citing papers by Saeam Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeam Shin

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

All Works

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20 of 20 papers shown

Kim, Yoo‐Na, Eunhyang Park, Yong Jae Lee, et al.. (2025). Genomic Profiling in Patients with Endometrial Cancer by Deep Sequencing of Vaginal Swabs and Plasma. Clinical Cancer Research. 31(14). 2978–2988.

Shin, Saeam, et al.. (2025). Prognostic Value of Residual Circulating Tumor DNA in Metastatic Pancreatic Ductal Adenocarcinoma. Annals of Laboratory Medicine. 45(2). 199–208. 2 indexed citations

Won, Dongju, et al.. (2024). Comparison of exon-level copy number variants in CytoScan XON assay and next-generation sequencing in clinical samples. Clinica Chimica Acta. 560. 119703–119703.

Park, Kyung, Yoonjung Kim, Saeam Shin, et al.. (2024). Understanding Genetic Testing in Healthy Individuals, and Related Regulations in Korea. Laboratory Medicine Online. 14(3). 201–207.

Kim, Minkwan, Jin Ju Kim, Seung‐Tae Lee, et al.. (2024). Association Between Aortic Valve Sclerosis and Clonal Hematopoiesis of Indeterminate Potential. Annals of Laboratory Medicine. 44(3). 279–288. 6 indexed citations

Shin, Saeam, et al.. (2024). Comparison of Optical Genome Mapping With Conventional Diagnostic Methods for Structural Variant Detection in Hematologic Malignancies. Annals of Laboratory Medicine. 44(4). 324–334. 2 indexed citations

Kim, Jin Ju, et al.. (2024). Enhancing mutation detection in multiple myeloma with an error-corrected ultra-sensitive NGS assay without plasma cell enrichment. Cancer Cell International. 24(1). 282–282. 1 indexed citations

Cho, Hyunsoo, Ji Eun Jang, Seung‐Tae Lee, et al.. (2024). NUP98 is rearranged in 5.0% of adult East Asian patients with AML. Blood Advances. 8(19). 5122–5125. 3 indexed citations

Kim, Seok Jin, Jin Ju Kim, Kyung Ju Ryu, et al.. (2024). Feasibility of Circulating Tumor DNA Detection in the Cerebrospinal Fluid of Patients With Central Nervous System Involvement in Large B-Cell Lymphoma. Annals of Laboratory Medicine. 45(1). 90–95. 2 indexed citations

10.

Kim, Yoo‐Na, Jieun Seo, Yong Jae Lee, et al.. (2023). Investigation of PARP Inhibitor Resistance Based on Serially Collected Circulating Tumor DNA in Patients With BRCA -Mutated Ovarian Cancer. Clinical Cancer Research. 29(14). 2725–2734. 19 indexed citations

11.

Lee, Choong‐kun, Soon Sung Kwon, Woo Sun Kwon, et al.. (2023). Clinical relevance of clonal hematopoiesis and its interference in cell-free DNA profiling of patients with gastric cancer. Clinical Chemistry and Laboratory Medicine (CCLM). 62(1). 178–186. 5 indexed citations

12.

Seo, Jieun, Saeam Shin, Sang Woon Kim, et al.. (2023). The Genotype-Phenotype Correlation in Human 5α-Reductase Type 2 Deficiency: Classified and Analyzed from a SRD5A2 Structural Perspective. International Journal of Molecular Sciences. 24(4). 3297–3297. 3 indexed citations

13.

Kim, Yoo‐Na, Saeam Shin, Yong Jae Lee, et al.. (2023). Serial Circulating Tumor DNA Analysis with a Tumor-Naïve Next-Generation Sequencing Panel Detects Minimal Residual Disease and Predicts Outcome in Ovarian Cancer. Cancer Research. 84(3). 468–478. 23 indexed citations

14.

Won, Dongju, Saeam Shin, Kang Su Cho, et al.. (2023). Circulating Tumor DNA Analysis on Metastatic Prostate Cancer with Disease Progression. Cancers. 15(15). 3998–3998. 10 indexed citations

15.

Kwak, Jay Jiyong, Junwon Lee, Yong Joon Kim, et al.. (2023). Next-Generation Sequencing of Vitreoretinal Lymphoma by Vitreous Liquid Biopsy: Diagnostic Potential and Genotype/Phenotype Correlation. Investigative Ophthalmology & Visual Science. 64(14). 27–27. 5 indexed citations

16.

Seo, Jieun, Choong‐kun Lee, Saeam Shin, et al.. (2022). Analytical and Clinical Validation of Cell-Free Circulating Tumor DNA Assay for the Estimation of Tumor Mutational Burden. Clinical Chemistry. 68(12). 1519–1528. 17 indexed citations

17.

Shin, Saeam, Seung‐Tae Lee, Jong Rak Choi, et al.. (2020). Copy number variations and multiallelic variants in Korean patients with Leber congenital amaurosis.. PubMed. 26. 26–35. 16 indexed citations

18.

Kim, Kyoung Jin, Namki Hong, Saeam Shin, et al.. (2020). Genetic Analysis and Clinical Characteristics of Hereditary Pheochromocytoma and Paraganglioma Syndrome in Korean Population. Endocrinology and Metabolism. 35(4). 858–872. 11 indexed citations

19.

Shin, Saeam, Yoonjung Kim, Wonkeun Song, et al.. (2019). A novel approach for tuberculosis diagnosis using exosomal DNA and droplet digital PCR. Clinical Microbiology and Infection. 26(7). 942.e1–942.e5. 39 indexed citations

20.

Kim, Borahm, et al.. (2018). Clinical Evaluation of Massively Parallel RNA Sequencing for Detecting Recurrent Gene Fusions in Hematologic Malignancies. Journal of Molecular Diagnostics. 21(1). 163–170. 29 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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