Mina Rho
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
- Software top 5%
Papers in
-
- Genomics and Phylogenetic Studies 20
- Gut microbiota and health 14
- Metabolomics and Mass Spectrometry Studies 4
-
- Clostridium difficile and Clostridium perfringens research 5
- Co-authors
- Haixu Tang (8 shared papers)Yuzhen Ye (5 shared papers)BooJoong Kang (1 shared paper)Eul Gyu Im (1 shared paper)TaeGuen Kim (1 shared paper)Sakir Sezer (1 shared paper)Thomas G. Doak (4 shared papers)Michael Lynch (4 shared papers)
- Journals
- Scientific Reports (8 papers)BMC Genomics (3 papers)Bioinformatics (2 papers)BMC Bioinformatics (2 papers)Allergy Asthma and Immunology Research (2 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Mina Rho
49 papers receiving 2.2k citations
Mina Rho's Hit Papers
Peers
Comparison fields: 5 of 139
- Signal Processing 326
- Software 110
- Molecular Biology 1.3k
- Ecology 471
- Microbiology 106
Countries citing papers authored by Mina Rho
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
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-authors
The 25 scholars most cited alongside Mina Rho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FragGeneScan: predicting genes in short and error-prone reads Hit paper breakdown → | 2010 | 592 |
| 2 | A Multimodal Deep Learning Method for Android Malware Detection Using Various Features Hit paper breakdown → | 2018 | 350 |
| 3 | 2018 | 116 | |
| 4 | 2012 | 109 | |
| 5 | 2014 | 102 | |
| 6 | 2011 | 99 | |
| 7 | 2020 | 79 | |
| 8 | 2016 | 64 | |
| 9 | 2014 | 61 | |
| 10 | 2016 | 56 | |
| 11 | 2007 | 54 | |
| 12 | 2013 | 42 | |
| 13 | 2014 | 35 | |
| 14 | 2020 | 35 | |
| 15 | 2017 | 33 | |
| 16 | 2016 | 28 | |
| 17 | 2022 | 26 | |
| 18 | 2013 | 26 | |
| 19 | 2020 | 25 | |
| 20 | 2010 | 20 |
About Mina Rho
Mina Rho is a scholar working on Molecular Biology, Infectious Diseases, Molecular Medicine, Plant Science and Ecology, having authored 51 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (20 papers), Gut microbiota and health (14 papers), Antibiotic Resistance in Bacteria (8 papers), Chromosomal and Genetic Variations (7 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Microbial Community Ecology and Physiology (4 papers) and Probiotics and Fermented Foods (4 papers). The work is most often cited by research in Signal Processing (326 citations), Software (110 citations), Molecular Biology (1.3k citations), Ecology (471 citations) and Microbiology (106 citations). Mina Rho has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Haixu Tang, Yuzhen Ye, BooJoong Kang, Eul Gyu Im, TaeGuen Kim, Sakir Sezer, Thomas G. Doak, Michael Lynch, Mi Young Lim and Yu‐Wei Wu. Their work appears in journals such as Scientific Reports, BMC Genomics, Bioinformatics, BMC Bioinformatics and Allergy Asthma and Immunology Research.
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.