Chanhee Chae

9.7k citations
353 papers · 7.8k indexed · h-index 46

Impact in

Papers in

Chanhee Chae

343 papers receiving 7.6k citations

Peers

Chanhee Chae
Comparison fields: 5 of 138
  • Animal Science and Zoology 5.1k
  • Infectious Diseases 4.4k
  • Microbiology 989
  • Genetics 3.4k
  • Agronomy and Crop Science 533
Replace Steven Krakowka with:
Steven Krakowka United States
Chan Ding China
Paul R. Lambden United Kingdom
Anchun Cheng China
Abdul Rahman Omar Malaysia
Armin Saalmüller Austria
Els Van Coillie Belgium
In‐Soo Choi South Korea
Qingmei Xie China
Christiane E. Wobus United States
Chanhee Chae relative to Steven Krakowka United States Steven Krakowka's profile →
Citations per field
00.5×3.8×
Steven Krakowka · 1×
Citations per year

Countries citing papers authored by Chanhee Chae

Since Specialization
Citations

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

Fields of papers citing papers by Chanhee Chae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chanhee Chae, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chanhee Chae Line = papers co-authored together Chanhee Chae links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 353 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004324
2 2003195
3 2003177
4 2008114
5 2012112
6 2001111
7 200494
8 201491
9 201585
10 200083
11 200882
12 200282
13 200380
14 201479
15 200578
16 200078
17 202175
18 200571
19 200469
20 199966

About Chanhee Chae

Chanhee Chae is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Microbiology and Cardiology and Cardiovascular Medicine, having authored 353 papers that have together received 7.8k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (230 papers), Viral gastroenteritis research and epidemiology (195 papers), Virus-based gene therapy research (152 papers), Microbial infections and disease research (64 papers), Viral Infections and Immunology Research (36 papers), Veterinary medicine and infectious diseases (27 papers), Animal Disease Management and Epidemiology (19 papers) and SARS-CoV-2 and COVID-19 Research (19 papers). The work is most often cited by research in Animal Science and Zoology (5.1k citations), Infectious Diseases (4.4k citations), Microbiology (989 citations), Genetics (3.4k citations) and Agronomy and Crop Science (533 citations). Chanhee Chae has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Changsun Choi, Changhoon Park, Hwi Won Seo, J. Kim, Kwonil Jung, Yoon‐Cheol Ha, Doo‐Sung Cheon, Jiwoon Jeong, Ikjae Kang and Kiwon Han. Their work appears in journals such as Journal of Comparative Pathology, Veterinary Record, Veterinary Microbiology, Journal of Veterinary Diagnostic Investigation and The Veterinary Journal.

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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