Hyang-Sim Lee

850 citations
48 papers · 657 · h-index 16

Impact in

Papers in

Hyang-Sim Lee

43 papers receiving 637 citations

Peers

Hyang-Sim Lee
Comparison fields: 5 of 57
  • Agronomy and Crop Science 494
  • Cardiology and Cardiovascular Medicine 434
  • Ecology, Evolution, Behavior and Systematics 357
  • Animal Science and Zoology 100
  • Infectious Diseases 98
Replace G Floegel-Niesmann with:
G Floegel-Niesmann Germany
Mi-Kyeong Ko South Korea
Ethan J. Hartwig United States
Ginette Wilsden United Kingdom
P. Hamblin United Kingdom
Brenton J. Sanford United States
Jørgen M. Westergaard Italy
Kazuki Morioka Japan
H. Vanderhallen Belgium
Viviana Malirat Argentina
Hyang-Sim Lee relative to G Floegel-Niesmann Germany G Floegel-Niesmann's profile →
Citations per field
00.5×4.9×
G Floegel-Niesmann · 1×
Citations per year

Countries citing papers authored by Hyang-Sim Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hyang-Sim Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyang-Sim Lee. 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 Hyang-Sim Lee. The network helps show where Hyang-Sim Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Hyang-Sim Lee, 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 Hyang-Sim Lee Line = papers co-authored together Hyang-Sim Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013101
2 201737
3 201037
4 201235
5 201628
6 201027
7 201527
8 201426
9 201826
10 201424
11 201023
12 201320
13 200920
14 201620
15 202117
16 201516
17 202315
18 201714
19 200913
20 201113

About Hyang-Sim Lee

Hyang-Sim Lee is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine, Ecology, Evolution, Behavior and Systematics, Animal Science and Zoology and Infectious Diseases, having authored 48 papers that have together received 657 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (35 papers), Viral Infections and Immunology Research (34 papers), Vector-Borne Animal Diseases (23 papers), Animal Virus Infections Studies (10 papers), Viral gastroenteritis research and epidemiology (7 papers), Virus-based gene therapy research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Plant and animal studies (2 papers). The work is most often cited by research in Agronomy and Crop Science (494 citations), Cardiology and Cardiovascular Medicine (434 citations), Ecology, Evolution, Behavior and Systematics (357 citations), Animal Science and Zoology (100 citations) and Infectious Diseases (98 citations). Hyang-Sim Lee has collaborated with scholars based in South Korea, Vietnam and China. Frequent co-authors include Young-Joon Ko, Jong-Hyeon Park, Su-Mi Kim, Byounghan Kim, Kwang‐Nyeong Lee, In‐Soo Cho, Min-Goo Seo, Dongseob Tark, Yeun‐Kyung Shin and Myoung-Heon Lee. Their work appears in journals such as Antiviral Research, Pathogens, Veterinary Microbiology, Vaccines and Journal of 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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