Sae Rom Hong

675 total citations
10 papers, 466 citations indexed

About

Sae Rom Hong is a scholar working on Molecular Biology, Genetics and Clinical Psychology. According to data from OpenAlex, Sae Rom Hong has authored 10 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Clinical Psychology. Recurrent topics in Sae Rom Hong's work include Epigenetics and DNA Methylation (7 papers), Molecular Biology Techniques and Applications (3 papers) and Genetic Syndromes and Imprinting (2 papers). Sae Rom Hong is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Molecular Biology Techniques and Applications (3 papers) and Genetic Syndromes and Imprinting (2 papers). Sae Rom Hong collaborates with scholars based in South Korea, Germany and Ethiopia. Sae Rom Hong's co-authors include Kyoung‐Jin Shin, Sang-Eun Jung, Eun Hee Lee, Hwan Young Lee, Hwan Young Lee, Woo Ick Yang, Soong Deok Lee, Ji Hyun Lee, Sohee Cho and Ji‐Eun Lee and has published in prestigious journals such as Talanta, Frontiers in Genetics and Forensic Science International Genetics.

In The Last Decade

Sae Rom Hong

9 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sae Rom Hong South Korea	8	429	141	52	43	33	10	466
Anastasia Aliferi United Kingdom	8	330 0.8×	155 1.1×	49 0.9×	31 0.7×	22 0.7×	10	394
Aleksandra Pisarek Poland	8	245 0.6×	93 0.7×	30 0.6×	25 0.6×	28 0.8×	16	323
Hwan Young Lee South Korea	5	326 0.8×	136 1.0×	72 1.4×	18 0.4×	25 0.8×	6	372
Żanetta Makowska Poland	4	435 1.0×	141 1.0×	43 0.8×	22 0.5×	25 0.8×	5	477
Renata Zbieć-Piekarska Poland	5	452 1.1×	145 1.0×	44 0.8×	23 0.5×	26 0.8×	6	502
Agnieszka Parys-Proszek Poland	7	375 0.9×	146 1.0×	40 0.8×	17 0.4×	18 0.5×	12	413
Sang-Eun Jung South Korea	11	714 1.7×	287 2.0×	75 1.4×	57 1.3×	45 1.4×	13	780
Kwang‐Man Woo South Korea	6	323 0.8×	156 1.1×	17 0.3×	65 1.5×	9 0.3×	9	349
Yu Na Oh South Korea	7	229 0.5×	139 1.0×	22 0.4×	8 0.2×	12 0.4×	10	257
Anquan Ji China	12	287 0.7×	187 1.3×	27 0.5×	54 1.3×	6 0.2×	33	348

Countries citing papers authored by Sae Rom Hong

Since Specialization

Citations

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

Fields of papers citing papers by Sae Rom Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sae Rom Hong

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

All Works

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10 of 10 papers shown

Wang, Xia, Young‐Kyung Bae, Sae Rom Hong, et al.. (2025). Development and interlaboratory validation of a linearized plasmid DNA certified reference material by single molecule direct counting and digital PCR. Talanta. 297(Pt B). 128762–128762.

Hong, Sae Rom, et al.. (2022). Sequence Variations of 31 γ-Chromosomal Short Tandem Repeats Analyzed by Massively Parallel Sequencing in Three U.S. Population Groups and Korean Population. Journal of Korean Medical Science. 37(6). e40–e40. 7 indexed citations

Hong, Sae Rom & Kyoung‐Jin Shin. (2022). Can we integrate method-specific age-predictive models?: Analysis method-induced differences in detected DNA methylation status. Forensic Science International Genetics. 62. 102805–102805. 8 indexed citations

Hong, Sae Rom & Kyoung‐Jin Shin. (2021). Bisulfite-Converted DNA Quantity Evaluation: A Multiplex Quantitative Real-Time PCR System for Evaluation of Bisulfite Conversion. Frontiers in Genetics. 12. 618955–618955. 31 indexed citations

Lee, Hwan Young, et al.. (2020). Epigenetic age signatures in bones. Forensic Science International Genetics. 46. 102261–102261. 25 indexed citations

Hong, Sae Rom, et al.. (2019). Comparison of whole mitochondrial genome variants between hair shafts and reference samples using massively parallel sequencing. International Journal of Legal Medicine. 134(3). 853–861. 7 indexed citations

Hong, Sae Rom, Kyoung‐Jin Shin, Sang-Eun Jung, Eun Hee Lee, & Hwan Young Lee. (2018). Platform-independent models for age prediction using DNA methylation data. Forensic Science International Genetics. 38. 39–47. 36 indexed citations

Jung, Sang-Eun, et al.. (2018). DNA methylation of the ELOVL2, FHL2, KLF14, C1orf132/MIR29B2C, and TRIM59 genes for age prediction from blood, saliva, and buccal swab samples. Forensic Science International Genetics. 38. 1–8. 133 indexed citations

Hong, Sae Rom, Sang-Eun Jung, Eun Hee Lee, et al.. (2017). DNA methylation-based age prediction from saliva: High age predictability by combination of 7 CpG markers. Forensic Science International Genetics. 29. 118–125. 119 indexed citations

10.

Cho, Sohee, Sang-Eun Jung, Sae Rom Hong, et al.. (2017). Independent validation of DNA-based approaches for age prediction in blood. Forensic Science International Genetics. 29. 250–256. 100 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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