Hyejin Yoon

6.6k total citations · 1 hit paper
16 papers, 596 citations indexed

About

Hyejin Yoon is a scholar working on Infectious Diseases, Molecular Biology and Virology. According to data from OpenAlex, Hyejin Yoon has authored 16 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 5 papers in Molecular Biology and 3 papers in Virology. Recurrent topics in Hyejin Yoon's work include SARS-CoV-2 and COVID-19 Research (3 papers), HIV Research and Treatment (3 papers) and Viral Infections and Outbreaks Research (3 papers). Hyejin Yoon is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), HIV Research and Treatment (3 papers) and Viral Infections and Outbreaks Research (3 papers). Hyejin Yoon collaborates with scholars based in United States, South Korea and Indonesia. Hyejin Yoon's co-authors include Bette Korber, Karina Yusim, James Theiler, Will Fischer, Thomas Leitner, Kshitij Wagh, Nicolas Hengartner, Brian Foley, Rolando Pajón and Jennifer P. Macke and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Hyejin Yoon

14 papers receiving 586 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.

SARS-CoV-2 variant B.1.1.7 is susceptible to neutralizing antibodies elicited by ancestral spike vaccines

2021 222 citations Xiaoying Shen, Haili Tang et al. Cell Host & Microbe profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hyejin Yoon United States	11	314	196	116	110	90	16	596
George F. Gao China	9	281 0.9×	146 0.7×	21 0.2×	184 1.7×	79 0.9×	20	538
Snawar Hussain Saudi Arabia	12	294 0.9×	194 1.0×	50 0.4×	306 2.8×	74 0.8×	22	812
Xiaowang Qu China	15	660 2.1×	154 0.8×	47 0.4×	309 2.8×	131 1.5×	35	1.0k
Narcı́s Saubi Spain	17	419 1.3×	214 1.1×	147 1.3×	307 2.8×	173 1.9×	42	952
Pinkus Tober‐Lau Germany	11	429 1.4×	158 0.8×	63 0.5×	70 0.6×	72 0.8×	27	581
Christophe Ramière France	18	305 1.0×	200 1.0×	71 0.6×	478 4.3×	108 1.2×	33	1.0k
Samitabh Chakraborti India	9	383 1.2×	170 0.9×	30 0.3×	64 0.6×	47 0.5×	18	582
Cheila Rocha Germany	13	725 2.3×	221 1.1×	178 1.5×	89 0.8×	114 1.3×	27	943
Anilza Bonelo Colombia	15	142 0.5×	252 1.3×	76 0.7×	133 1.2×	212 2.4×	26	821
Delphine Planas France	15	805 2.6×	253 1.3×	344 3.0×	130 1.2×	389 4.3×	35	1.3k

Countries citing papers authored by Hyejin Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Hyejin Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyejin Yoon

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

All Works

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16 of 16 papers shown

Lapp, Zena, Hyejin Yoon, Brian Foley, & Thomas Leitner. (2024). Hypermut 3: identifying specific mutational patterns in a defined nucleotide context that allows multistate characters. Bioinformatics Advances. 5(1). vbaf025–vbaf025. 1 indexed citations

Beesley, Lauren J., Kelly R. Moran, Kshitij Wagh, et al.. (2023). SARS-CoV-2 variant transition dynamics are associated with vaccination rates, number of co-circulating variants, and convalescent immunity. EBioMedicine. 91. 104534–104534. 16 indexed citations

Shen, Xiaoying, Haili Tang, Charlene McDanal, et al.. (2021). SARS-CoV-2 variant B.1.1.7 is susceptible to neutralizing antibodies elicited by ancestral spike vaccines. Cell Host & Microbe. 29(4). 529–539.e3. 222 indexed citations breakdown →

Shen, Xiaoying, Haili Tang, Charlene McDanal, et al.. (2021). SARS-CoV-2 Variant B.1.1.7 is Susceptible to Neutralizing Antibodies Elicited by Ancestral Spike Vaccines. SSRN Electronic Journal.

Yoon, Hyejin. (2018). Exploring the Motivation and Meaning of Hanbok Experience in Cultural Heritage Sites. 14(1). 1–21. 1 indexed citations

Theiler, James, Hyejin Yoon, Karina Yusim, et al.. (2016). Epigraph: A Vaccine Design Tool Applied to an HIV Therapeutic Vaccine and a Pan-Filovirus Vaccine. Scientific Reports. 6(1). 33987–33987. 36 indexed citations

Yusim, Karina, Hyejin Yoon, Brian Foley, et al.. (2016). Integrated sequence and immunology filovirus database at Los Alamos. Database. 2016. baw047–baw047. 3 indexed citations

Kim, Gyuri, Kwang Joon Kim, Yong‐ho Lee, et al.. (2015). Visceral adiposity is associated with altered myocardial glucose uptake measured by 18FDG-PET in 346 subjects with normal glucose tolerance, prediabetes, and type 2 diabetes. Cardiovascular Diabetology. 14(1). 148–148. 35 indexed citations

Yoon, Hyejin, Jennifer P. Macke, Anthony P. West, et al.. (2015). CATNAP: a tool to compile, analyze and tally neutralizing antibody panels. Nucleic Acids Research. 43(W1). W213–W219. 89 indexed citations

10.

Yoon, Hyejin. (2014). Pathogenesis and therapeutic approaches for non-alcoholic fatty liver disease. World Journal of Hepatology. 6(11). 800–800. 57 indexed citations

11.

Yoon, Hyejin & Thomas Leitner. (2014). PrimerDesign-M: a multiple-alignment based multiple-primer design tool for walking across variable genomes. Bioinformatics. 31(9). 1472–1474. 42 indexed citations

12.

Kwon, Nahyun, et al.. (2013). Comparative Analyses of the Uses of Information and Information Technologies in the Everyday Life of Undergraduate and Graduate Students Majoring Science and Engineering. Journal of the Korean Society for information Management. 30(2). 269–295. 1 indexed citations

13.

Yoon, Hyejin, Byung-Joon Kim, Keun‐Young Park, et al.. (2012). Correlations between Glucagon Stimulated C-peptide Levels and Microvascular Complications in Type 2 Diabetes Patients. Diabetes & Metabolism Journal. 36(5). 379–379. 27 indexed citations

14.

Kuiken, Carla, Hyejin Yoon, Werner Abfalterer, et al.. (2012). Viral Genome Analysis and Knowledge Management. Methods in molecular biology. 939. 253–261. 10 indexed citations

15.

Fenimore, Paul W., Will Fischer, Brian Foley, et al.. (2012). Designing and Testing Broadly-Protective Filoviral Vaccines Optimized for Cytotoxic T-Lymphocyte Epitope Coverage. PLoS ONE. 7(10). e44769–e44769. 19 indexed citations

16.

Thurmond, Jim, Hyejin Yoon, Carla Kuiken, et al.. (2008). Web-based design and evaluation of T-cell vaccine candidates. Bioinformatics. 24(14). 1639–1640. 37 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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