Siyeon Yang

495 total citations · 1 hit paper
33 papers, 382 citations indexed

About

Siyeon Yang is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics. According to data from OpenAlex, Siyeon Yang has authored 33 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Animal Science and Zoology, 27 papers in Infectious Diseases and 20 papers in Genetics. Recurrent topics in Siyeon Yang's work include Animal Virus Infections Studies (32 papers), Viral gastroenteritis research and epidemiology (26 papers) and Virus-based gene therapy research (20 papers). Siyeon Yang is often cited by papers focused on Animal Virus Infections Studies (32 papers), Viral gastroenteritis research and epidemiology (26 papers) and Virus-based gene therapy research (20 papers). Siyeon Yang collaborates with scholars based in South Korea, United States and Vietnam. Siyeon Yang's co-authors include Taehwan Oh, Chanhee Chae, Ikjae Kang, Jiwoon Jeong, Su‐Jin Park, Sagang Koo, Ok Kyu Park, Kyoung Sun Park, Nohyun Lee and Taeghwan Hyeon and has published in prestigious journals such as Nature Nanotechnology, Veterinary Microbiology and Archives of Virology.

In The Last Decade

Siyeon Yang

33 papers receiving 381 citations

Hit Papers

Ceria-vesicle nanohybrid therapeutic for modulation of in... 2023 2026 2024 2025 2023 25 50 75
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.

  1. Ceria-vesicle nanohybrid therapeutic for modulation of innate and adaptive immunity in a collagen-induced arthritis model
    2023 94 citations Sagang Koo, Hee Su Sohn et al. Nature Nanotechnology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siyeon Yang South Korea 11 270 221 190 51 40 33 382
S. F. Chang Taiwan 7 317 1.2× 269 1.2× 403 2.1× 14 0.3× 170 4.3× 13 607
Seong Jun Park South Korea 12 139 0.5× 129 0.6× 90 0.5× 55 1.1× 146 3.6× 40 444
Yuan-Pin Huang Taiwan 7 140 0.5× 185 0.8× 68 0.4× 44 0.9× 69 1.7× 11 337
Alice Berger Switzerland 7 70 0.3× 199 0.9× 35 0.2× 35 0.7× 78 1.9× 11 374
Arvind Kumar Singh India 11 44 0.2× 104 0.5× 48 0.3× 11 0.2× 98 2.5× 28 364
Peidian Shi China 11 109 0.4× 129 0.6× 79 0.4× 24 0.5× 161 4.0× 19 350
Xibao Shi China 12 307 1.1× 244 1.1× 176 0.9× 62 1.2× 46 1.1× 22 408
Siwen Long China 9 108 0.4× 149 0.7× 61 0.3× 36 0.7× 70 1.8× 13 382
Niu Zhou China 8 164 0.6× 107 0.5× 124 0.7× 84 1.6× 37 0.9× 14 302

Countries citing papers authored by Siyeon Yang

Since Specialization
Citations

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

Fields of papers citing papers by Siyeon Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyeon Yang

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

All Works

20 of 20 papers shown
1.
Koo, Sagang, Hee Su Sohn, Siyeon Yang, et al.. (2023). Ceria-vesicle nanohybrid therapeutic for modulation of innate and adaptive immunity in a collagen-induced arthritis model. Nature Nanotechnology. 18(12). 1502–1514. 94 indexed citations breakdown →
2.
Yang, Siyeon, et al.. (2022). Comparative growth performance of 3 types of combination vaccines containing porcine circovirus 2 and Mycoplasma hyopneumoniae under field conditions.. PubMed. 86(2). 93–101. 2 indexed citations
3.
Ahn, Yongjun, et al.. (2021). Efficacy Evaluation of a Bivalent Vaccine Containing Porcine Circovirus Type 2b and Mycoplasma hyopneumoniae Against an Experimental Dual Challenge. Frontiers in Veterinary Science. 8. 652313–652313. 3 indexed citations
4.
Yang, Siyeon, et al.. (2021). A field efficacy trial of a trivalent vaccine containing porcine circovirus type 2a and 2b, and Mycoplasma hyopneumoniae in three herds. Veterinary Medicine and Science. 8(2). 578–590. 5 indexed citations
5.
Yang, Siyeon, et al.. (2021). Field evaluation of a sing‐dose bivalent vaccine of porcine circovirus type 2b and Mycoplasma hyopneumoniae. Veterinary Medicine and Science. 7(3). 755–765. 5 indexed citations
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Oh, Taehwan, et al.. (2020). The first isolation of porcine circovirus type 2e from a Korean pig. Archives of Virology. 165(12). 2927–2930. 16 indexed citations
9.
Yang, Siyeon, et al.. (2020). A modified-live porcine reproductive and respiratory syndrome virus (PRRSV) vaccine protects late-term pregnancy gilts against a heterologous PRRSV-2 challenge. PubMed Central. 10 indexed citations
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Yang, Siyeon, et al.. (2020). A comparison of commercial modified-live PRRSV-1 and PRRSV-2 vaccines against a dual heterologous PRRSV-1 and PRRSV-2 challenge in late term pregnancy gilts. Comparative Immunology Microbiology and Infectious Diseases. 69. 101423–101423. 11 indexed citations
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14.
Oh, Taehwan, et al.. (2019). Comparison of four commercial PRRSV MLV vaccines in herds with co-circulation of PRRSV-1 and PRRSV-2. Comparative Immunology Microbiology and Infectious Diseases. 63. 66–73. 9 indexed citations
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16.
Yang, Siyeon, Taehwan Oh, Ikjae Kang, Su‐Jin Park, & Chanhee Chae. (2019). Efficacy of concurrent vaccination with modified-live PRRSV-1 and PRRSV-2 vaccines against heterologous dual PRRSV-1 and PRRSV-2 challenge in late term pregnancy gilts. Veterinary Microbiology. 239. 108497–108497. 8 indexed citations
17.
Oh, Taehwan, Siyeon Yang, Jiwoon Jeong, et al.. (2019). Comparison of 4 commercial modified-live porcine reproductive and respiratory syndrome virus (PRRSV) vaccines against heterologous Korean PRRSV-1 and PRRSV-2 challenge.. PubMed. 83(1). 57–67. 7 indexed citations
18.
Oh, Taehwan, et al.. (2019). Evaluation of a porcine circovirus type 2a (PCV2a) vaccine efficacy against experimental PCV2a, PCV2b, and PCV2d challenge. Veterinary Microbiology. 231. 87–92. 52 indexed citations
19.
Jeong, Jiwoon, Changhoon Park, Taehwan Oh, et al.. (2018). Cross-protection of a modified-live porcine reproductive and respiratory syndrome virus (PRRSV)-2 vaccine against a heterologous PRRSV-1 challenge in late-term pregnancy gilts. Veterinary Microbiology. 223. 119–125. 10 indexed citations
20.
Jeong, Jiwoon, Se-Eun Kim, Ikjae Kang, et al.. (2017). Vaccination with a porcine reproductive and respiratory syndrome virus vaccine at 1-day-old improved growth performance of piglets under field conditions. Veterinary Microbiology. 214. 113–124. 16 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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