Sung‐Hwan Wee

961 citations
70 papers · 790 indexed · h-index 17

Sung‐Hwan Wee

66 papers receiving 736 citations

Peers

Sung‐Hwan Wee
Comparison fields: 5 of 69
  • Agronomy and Crop Science 297
  • Infectious Diseases 292
  • Parasitology 82
  • Biotechnology 93
  • Food Science 164
Replace Soon‐Seek Yoon with:
Soon‐Seek Yoon South Korea
Hsiang‐Jung Tsai Taiwan
Parimal Roy India
Santiago Vega Spain
Arnab Sen India
Alfonso Carbonero Spain
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Sung‐Hwan Wee relative to Soon‐Seek Yoon South Korea Soon‐Seek Yoon's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sung‐Hwan Wee

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Hwan Wee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung‐Hwan Wee. 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 Sung‐Hwan Wee. The network helps show where Sung‐Hwan Wee may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sung‐Hwan Wee, 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 Sung‐Hwan Wee Line = papers co-authored together Sung‐Hwan Wee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202011
2 20206
3 20189
4
Pan-serotype reverse transcription loop-mediated isothermal amplification (RT-LAMP) for the rapid detection of foot-and-mouth disease virus
20183
5 201819
6 201713
7 201725
8 20152
9 201517
10 20131
11 20125
12 20123
13 20124
14
Prevalence of Listeria monocytogenes isolated from Livestock processed products in Korea
20111
15 20111
16 201064
17 200821
18
Risk factors for bovine brucellosis in Korea : A case control study
20062
19 200645
20
Current Status and Characteristics of Highly Pathogenic Avian Influenza
20041

About Sung‐Hwan Wee

Sung‐Hwan Wee is a scholar working on Agronomy and Crop Science, Biotechnology, Parasitology, Food Science and Ecology, Evolution, Behavior and Systematics, having authored 70 papers that have together received 790 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (22 papers), Vector-Borne Animal Diseases (18 papers), Viral Infections and Immunology Research (14 papers), Food Quality and Safety Studies (10 papers), Listeria monocytogenes in Food Safety (9 papers), Salmonella and Campylobacter epidemiology (8 papers), Nutrition, Health and Food Behavior (8 papers) and Meat and Animal Product Quality (6 papers). The work is most often cited by research in Agronomy and Crop Science (297 citations), Infectious Diseases (292 citations), Parasitology (82 citations), Biotechnology (93 citations) and Food Science (164 citations). Sung‐Hwan Wee has collaborated with scholars based in South Korea, Ireland and United States. Frequent co-authors include Hachung Yoon, Hyang-Mi Nam, Suk‐Kyung Lim, Hyun-Jung Park, Suk-Chan Jung, Jin‐San Moon, Choi‐Kyu Park, H.M. Nam, Young‐Jo Kim and Soon‐Seek Yoon. Their work appears in journals such as Transboundary and Emerging Diseases, Foodborne Pathogens and Disease, Preventive Veterinary Medicine, Food Research International and Korean Journal of Parasitology.

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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