Insung Ahn

527 total citations
37 papers, 369 citations indexed

About

Insung Ahn is a scholar working on Epidemiology, Molecular Biology and Modeling and Simulation. According to data from OpenAlex, Insung Ahn has authored 37 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 16 papers in Molecular Biology and 7 papers in Modeling and Simulation. Recurrent topics in Insung Ahn's work include Influenza Virus Research Studies (14 papers), RNA and protein synthesis mechanisms (10 papers) and COVID-19 epidemiological studies (7 papers). Insung Ahn is often cited by papers focused on Influenza Virus Research Studies (14 papers), RNA and protein synthesis mechanisms (10 papers) and COVID-19 epidemiological studies (7 papers). Insung Ahn collaborates with scholars based in South Korea and Sudan. Insung Ahn's co-authors include Soo Beom Choi, Hyeon S. Son, Ji‐Eun Park, Woo‐Sik Son, Yeonhee Ryu, Okyu Kwon, Jin Young Jung, Sunghoon Jung, Ji‐Hae Lee and Jooyeon Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Insung Ahn

31 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Insung Ahn South Korea	9	129	116	79	67	54	37	369
Thomas Neyens Belgium	13	75 0.6×	66 0.6×	33 0.4×	37 0.6×	36 0.7×	52	421
Mohammad Javanbakht Iran	11	67 0.5×	68 0.6×	19 0.2×	135 2.0×	28 0.5×	54	423
А. Yu. Popova Russia	15	55 0.4×	209 1.8×	32 0.4×	66 1.0×	110 2.0×	60	544
Huanchang Yan China	7	215 1.7×	34 0.3×	18 0.2×	103 1.5×	78 1.4×	13	408
Canelle Poirier United States	9	239 1.9×	106 0.9×	8 0.1×	67 1.0×	16 0.3×	10	340
Jianxin Ma China	8	146 1.1×	87 0.8×	27 0.3×	139 2.1×	77 1.4×	22	543
Daniel C. Medina United States	7	135 1.0×	63 0.5×	25 0.3×	34 0.5×	16 0.3×	10	299
Dario Akaberi Sweden	9	65 0.5×	50 0.4×	44 0.6×	246 3.7×	22 0.4×	17	498
Anna Nguyen United States	7	131 1.0×	82 0.7×	16 0.2×	170 2.5×	15 0.3×	20	356

Countries citing papers authored by Insung Ahn

Since Specialization

Citations

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

Fields of papers citing papers by Insung Ahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Insung Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Insung Ahn. A scholar is included among the top collaborators of Insung Ahn 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 Insung Ahn. Insung Ahn 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

Ahn, Insung, et al.. (2024). InfectA-Chat, an Arabic Large Language Model for Infectious Diseases: Comparative Analysis. JMIR Medical Informatics. 13. e63881–e63881.

Ahn, Insung, et al.. (2023). Analysis of COVID-19 vaccine adverse event using language model and unsupervised machine learning. PLoS ONE. 18(2). e0282119–e0282119. 6 indexed citations

Ahn, Insung, et al.. (2022). NGS data vectorization, clustering, and finding key codons in SARS-CoV-2 variations. BMC Bioinformatics. 23(1). 187–187. 1 indexed citations

Ahn, Insung, et al.. (2021). Infectious disease outbreak prediction using media articles with machine learning models. Scientific Reports. 11(1). 4413–4413. 33 indexed citations

Choi, Soo Beom & Insung Ahn. (2020). Forecasting imported COVID-19 cases in South Korea using mobile roaming data. PLoS ONE. 15(11). e0241466–e0241466. 4 indexed citations

Ahn, Insung, et al.. (2019). Weekly ILI patient ratio change prediction using news articles with support vector machine. BMC Bioinformatics. 20(1). 259–259. 13 indexed citations

Park, Jooyeon, et al.. (2016). Phylogenetic Analysis of Human-origin Zika Virus Isolated from Different Geographic Regions. 3(1). 21–28.

Ahn, Insung, et al.. (2015). A Visualization Tool for Calculating the Genetic Substitution Patterns Between Two Different Groups. SHILAP Revista de lepidopterología. 1 indexed citations

Ahn, Insung, et al.. (2015). Using Bioinformatics Tools for Identifying Disease-Causal Genetic Variants from Human Genomes. International Journal of Bio-Science and Bio-Technology. 7(6). 287–294.

10.

Ahn, Insung, et al.. (2015). Phylogenetic Analysis of Dengue viruses using Bioinformatics Techniques. Advanced science and technology letters. 12–18. 2 indexed citations

11.

Lee, Ji-Hae, et al.. (2015). Correlations Between the Incidence of National Notifiable Infectious Diseases and Public Open Data, Including Meteorological Factors and Medical Facility Resources. Journal of Preventive Medicine and Public Health. 48(4). 203–215. 8 indexed citations

12.

Ahn, Insung, et al.. (2014). FGMD : Database of Fungal Genetic Markers and Multigene Analysis in Fungal Classification. 51(2). 81–89. 2 indexed citations

13.

Ahn, Insung, et al.. (2014). SimFlu: A simulation tool for predicting the variation pattern of influenza A virus. Computers in Biology and Medicine. 52. 35–40. 5 indexed citations

14.

Lee, Ji‐Hae, et al.. (2013). Discriminant analysis of prion sequences for prediction of susceptibility. Experimental & Molecular Medicine. 45(10). e48–e48. 6 indexed citations

15.

Ahn, Insung & Hyeon S. Son. (2011). Computational model for analyzing the evolutionary patterns of the neuraminidase gene of influenza A/H1N1. Computational Biology and Chemistry. 36. 23–30. 3 indexed citations

16.

Ahn, Insung & Hyeon S. Son. (2011). Evolutionary analysis of human-origin influenza A virus (H3N2) genes associated with the codon usage patterns since 1993. Virus Genes. 44(2). 198–206. 13 indexed citations

17.

Ahn, Insung & Hyeon S. Son. (2009). Comparative study of the nucleotide bias between the novel H1N1 and H5N1 subtypes of influenza A viruses using bioinformatics techniques. Journal of Microbiology and Biotechnology. 20(1). 63–70. 6 indexed citations

18.

Ahn, Insung & Hyeon S. Son. (2007). Comparative bioinformatics analysis of prion proteins isolated from reptile, rodent, ruminant, and human species. Experimental & Molecular Medicine. 39(6). 769–777. 4 indexed citations

19.

Ahn, Insung, et al.. (2006). Genomic Analysis of Influenza A Viruses, including Avian Flu (H5N1) Strains. European Journal of Epidemiology. 21(7). 511–519. 31 indexed citations

20.

Ahn, Insung & Hyeon S. Son. (2006). Epidemiological comparisons of codon usage patterns among HIV-1 isolates from Asia, Europe, Africa and the Americas. Experimental & Molecular Medicine. 38(6). 643–651. 5 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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