Taeyong Kwon

1.7k citations
32 papers · 923 indexed · h-index 15
Topics
Viral gastroenteritis research and epidemiology (16 papers)Animal Disease Management and Epidemiology (14 papers)Animal Virus Infections Studies (13 papers)

In The Last Decade

Taeyong Kwon

29 papers receiving 918 citations

Peers

Taeyong Kwon
Comparison fields: 5 of 62
  • Infectious Diseases 663
  • Animal Science and Zoology 545
  • Genetics 277
  • Cardiology and Cardiovascular Medicine 159
  • Agronomy and Crop Science 109
Replace Sandra Vreman with:
Sandra Vreman Netherlands
Rodrigo Melim Zerbinati Brazil
Tania S. Bonny United States
Christopher J. Brackman Hong Kong
Danielle R. Adney United States
Dashzeveg Bold United States
Jacob Schön Germany
Renate W. Hakze‐van der Honing Netherlands
Melinda Jenkins-Moore United States
Luciano Kleber de Souza Luna Brazil
Taeyong Kwon relative to Sandra Vreman Netherlands Sandra Vreman's profile →
Citations per field
00.5×10×15.3×
Sandra Vreman · 1×
Citations per year

Countries citing papers authored by Taeyong Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Taeyong Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taeyong Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Taeyong Kwon. A scholar is included among the top collaborators of Taeyong Kwon 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 Taeyong Kwon. Taeyong Kwon 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
#WorkIndexed citations
1 11
2 0
3 0
4 7
5 3
6 4
7 6
8 33
9 8
10 4
11 21
12 3
13 70
14 11
15 15
16 15
17 159
18 11
19 78
20 19

About Taeyong Kwon

Taeyong Kwon is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Infectious Diseases, having authored 32 papers that have together received 923 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (16 papers), Animal Disease Management and Epidemiology (14 papers) and Animal Virus Infections Studies (13 papers). The work is most often cited by research in Animal Science and Zoology (545 citations), Infectious Diseases (663 citations) and Modeling and Simulation (70 citations). Taeyong Kwon has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Sung J. Yoo, Young S. Lyoo, Jüergen A. Richt, Natasha N. Gaudreault, Choi‐Kyu Park, Igor Morozov, Jessie D. Trujillo, Mariano Carossino, Dashzeveg Bold and Daniel W. Madden. Their work appears in journals such as Nature Communications, PLoS ONE and Virology.

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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