Mina Rho

19.3k total citations · 2 hit papers
51 papers, 2.2k citations indexed

About

Mina Rho is a scholar working on Molecular Biology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, Mina Rho has authored 51 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 8 papers in Infectious Diseases and 8 papers in Molecular Medicine. Recurrent topics in Mina Rho's work include Genomics and Phylogenetic Studies (20 papers), Gut microbiota and health (14 papers) and Antibiotic Resistance in Bacteria (8 papers). Mina Rho is often cited by papers focused on Genomics and Phylogenetic Studies (20 papers), Gut microbiota and health (14 papers) and Antibiotic Resistance in Bacteria (8 papers). Mina Rho collaborates with scholars based in South Korea, United States and United Kingdom. Mina Rho's co-authors include Haixu Tang, Yuzhen Ye, Sakir Sezer, Eul Gyu Im, BooJoong Kang, TaeGuen Kim, Thomas G. Doak, Michael Lynch, Yu‐Wei Wu and Mi Young Lim and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Mina Rho

49 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

FragGeneScan: predicting genes in short and error-prone reads

2010 592 citations Mina Rho, Haixu Tang et al. profile →
A Multimodal Deep Learning Method for Android Malware Detection Using Various Features

2018 350 citations Mina Rho et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mina Rho South Korea	21	1.3k	471	326	298	255	51	2.2k
Hing‐Fung Ting Hong Kong	14	878 0.7×	621 1.3×	82 0.3×	333 1.1×	238 0.9×	74	2.2k
Seán Turner United States	22	2.0k 1.5×	1.2k 2.6×	36 0.1×	141 0.5×	558 2.2×	47	4.5k
Martin Hölzer Germany	22	672 0.5×	294 0.6×	111 0.3×	140 0.5×	116 0.5×	106	1.6k
Dawei Sun China	24	590 0.5×	705 1.5×	197 0.6×	193 0.6×	674 2.6×	84	2.2k
Jens Stoye Germany	32	2.6k 2.0×	524 1.1×	29 0.1×	60 0.2×	601 2.4×	134	3.5k
Peizhi Wu China	6	1.1k 0.8×	525 1.1×	32 0.1×	37 0.1×	530 2.1×	8	1.9k
Gail Rosen United States	22	1.6k 1.2×	673 1.4×	27 0.1×	27 0.1×	106 0.4×	100	2.5k
Alexander Ulanov United States	26	773 0.6×	106 0.2×	22 0.1×	72 0.2×	813 3.2×	89	2.3k
David S. Reiner United States	33	503 0.4×	84 0.2×	134 0.4×	202 0.7×	88 0.3×	71	3.0k
Hideo Matsuda Japan	22	1.6k 1.2×	550 1.2×	17 0.1×	56 0.2×	258 1.0×	139	2.8k

Countries citing papers authored by Mina Rho

Since Specialization

Citations

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

Fields of papers citing papers by Mina Rho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mina Rho

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rho, Mina, et al.. (2025). MultiChem: predicting chemical properties using multi-view graph attention network. BioData Mining. 18(1). 4–4.

Rho, Mina, et al.. (2024). Biomedical Flat and Nested Named Entity Recognition: Methods, Challenges, and Advances. Applied Sciences. 14(20). 9302–9302. 2 indexed citations

Seong, Hoon Je, et al.. (2024). Recovery of 240 metagenome-assembled genomes from coastal mariculture environments in South Korea. Scientific Data. 11(1). 902–902. 2 indexed citations

Son, Young‐Jin, Jin‐Hwan Kwak, Hyunjoo Pai, et al.. (2023). 2518. Lead optimization on 26-membered thiopeptide antibiotics and identification of pre-clinical candidates against Clostridioides difficile and Staphylococcus aureus for impetigo. Open Forum Infectious Diseases. 10(Supplement_2). 1 indexed citations

Kim, Jieun, Suk‐Kyung Lim, Miran Seo, et al.. (2023). Comparative analyses of the faecal resistome against β-lactam and quinolone antibiotics in humans and livestock using metagenomic sequencing. Scientific Reports. 13(1). 20993–20993. 3 indexed citations

Kang, Seunghun, et al.. (2022). Metagenomic characterization of sphingomyelinase C in the microbiome of humans and environments. Frontiers in Cellular and Infection Microbiology. 12. 1015706–1015706. 2 indexed citations

Kim, Jieun, et al.. (2022). Deciphering Resistome in Patients With Chronic Obstructive Pulmonary Diseases and Clostridioides difficile Infections. Frontiers in Microbiology. 13. 919907–919907. 4 indexed citations

Kim, Jieun, et al.. (2021). High fecal carriage of blaCTX-M, blaCMY-2, and plasmid-mediated quinolone resistance genes among healthy Korean people in a metagenomic analysis. Scientific Reports. 11(1). 5874–5874. 3 indexed citations

Rajeh, Ahmad, et al.. (2021). MegaR: an interactive R package for rapid sample classification and phenotype prediction using metagenome profiles and machine learning. BMC Bioinformatics. 22(1). 25–25. 9 indexed citations

10.

Seong, Hoon Je, et al.. (2021). A case study on the distribution of the environmental resistome in Korean shrimp farms. Ecotoxicology and Environmental Safety. 227. 112858–112858. 8 indexed citations

11.

Rho, Mina, et al.. (2020). Data-Driven Modeling for Species-Level Taxonomic Assignment From 16S rRNA: Application to Human Microbiomes. Frontiers in Microbiology. 11. 570825–570825. 18 indexed citations

12.

Kim, Jieun, Mi-Ran Seo, Mi Hyun Bae, et al.. (2020). Quantitative characterization of Clostridioides difficile population in the gut microbiome of patients with C. difficile infection and their association with clinical factors. Scientific Reports. 10(1). 17608–17608. 25 indexed citations

13.

Islam, Mohammad Nazrul, et al.. (2018). iMGEins: detecting novel mobile genetic elements inserted in individual genomes. BMC Genomics. 19(1). 944–944. 6 indexed citations

14.

Shin, Jae Hong, et al.. (2018). Integrative metagenomic and biochemical studies on rifamycin ADP-ribosyltransferases discovered in the sediment microbiome. Scientific Reports. 8(1). 12143–12143. 6 indexed citations

15.

Magner, William J., Bianca Weinstock‐Guttman, Mina Rho, et al.. (2016). Dicer and microRNA expression in multiple sclerosis and response to interferon therapy. Journal of Neuroimmunology. 292. 68–78. 28 indexed citations

16.

Lim, Mi Young, Hyo Shin Yoon, Mina Rho, et al.. (2016). Analysis of the association between host genetics, smoking, and sputum microbiota in healthy humans. Scientific Reports. 6(1). 23745–23745. 64 indexed citations

17.

Kwon, Chang-Hyuk, Hyosun Tak, Mina Rho, et al.. (2014). Detection of PIWI and piRNAs in the mitochondria of mammalian cancer cells. Biochemical and Biophysical Research Communications. 446(1). 218–223. 61 indexed citations

18.

Kim, Yihwan, InSong Koh, & Mina Rho. (2014). Deciphering the human microbiome using next-generation sequencing data and bioinformatics approaches. Methods. 79-80. 52–59. 35 indexed citations

19.

Hughes, Adam L., Yang Ruan, Saliya Ekanayake, et al.. (2012). Interpolative multidimensional scaling techniques for the identification of clusters in very large sequence sets. BMC Bioinformatics. 13(S2). S9–S9. 6 indexed citations

20.

Rho, Mina, et al.. (2007). De novo identification of LTR retrotransposons in eukaryotic genomes. BMC Genomics. 8(1). 90–90. 54 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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