Gun-Woo Ha

571 total citations
11 papers, 461 citations indexed

About

Gun-Woo Ha is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology. According to data from OpenAlex, Gun-Woo Ha has authored 11 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Animal Science and Zoology and 4 papers in Epidemiology. Recurrent topics in Gun-Woo Ha's work include Animal Virus Infections Studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers) and Virus-based gene therapy research (4 papers). Gun-Woo Ha is often cited by papers focused on Animal Virus Infections Studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers) and Virus-based gene therapy research (4 papers). Gun-Woo Ha collaborates with scholars based in South Korea, Vietnam and Japan. Gun-Woo Ha's co-authors include Daesub Song, Bong‐Kyun Park, Jin-Sik Oh, Bo-Kyu Kang, Kwonil Jung, Seongjun Park, Chul Seung Lee, Seong-Jun Park, Dong-Jun An and In‐Soo Choi and has published in prestigious journals such as Journal of Clinical Microbiology, Emerging infectious diseases and Sensors and Actuators B Chemical.

In The Last Decade

Gun-Woo Ha

11 papers receiving 441 citations

Peers

Gun-Woo Ha

EPIDE

ASZ

ACS

GENET

Yanbo Yin China

Geng Huang China

Napawan Bunpapong Thailand

Michael Zeller United States

Yadi Tan China

Bernt Hjertner Sweden

Fanfeng Meng China

José Ivan Sánchez‐Betancourt Mexico

Filip Barbé Belgium

Yanbo Yin China

Gun-Woo Ha

281 ×1.0

EPIDE

165 ×0.7

92 ×0.6

ASZ

167 ×1.2

ACS

44 ×0.4

GENET

Citations per year, relative to Gun-Woo Ha Gun-Woo Ha (= 1×) peers Yanbo Yin

Countries citing papers authored by Gun-Woo Ha

Since Specialization

Citations

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

Fields of papers citing papers by Gun-Woo Ha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gun-Woo Ha. 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 Gun-Woo Ha. The network helps show where Gun-Woo Ha may publish in the future.

Co-authorship network of co-authors of Gun-Woo Ha

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

All Works

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11 of 11 papers shown

Cho, Yun Sang, Sang Eun Lee, Jin-Sik Oh, et al.. (2020). Comparing recombinant MPB70/SahH and native 20-kDa protein for detecting bovine tuberculosis using ELISA. Journal of Veterinary Medical Science. 82(11). 1631–1638. 1 indexed citations

Lyoo, Kwang‐Soo, Minjoo Yeom, Gun-Woo Ha, et al.. (2017). Development of rapid immunochromatographic strip test for the detection of porcine epidemic diarrhoea virus. Veterinary Record. 181(22). 596–601. 20 indexed citations

Song, Daesub, et al.. (2015). Development and Validation of a Rapid Immunochromatographic Assay for Detection of Middle East Respiratory Syndrome Coronavirus Antigen in Dromedary Camels. Journal of Clinical Microbiology. 53(4). 1178–1182. 31 indexed citations

Jeon, Jin-Woo, Sung-Min Seo, Heesoo Kim, et al.. (2012). ELISA-on-a-chip for on-site, rapid determination of anti-rabies virus antibodies in canine serum. Sensors and Actuators B Chemical. 171-172. 278–286. 5 indexed citations

Lee, Hyung Tae, Kyoung Hwa Jung, Ji Hyun Park, et al.. (2011). Proteomic Analysis of the Serum from Chicken Infected by Avian Influenza Virus. Journal of Bacteriology and Virology. 41(3). 195–195. 1 indexed citations

Song, Young‐Jo, Sang‐Won Lee, Joong‐Bok Lee, et al.. (2010). Comparative Measurement of Cell-Mediated Immune Responses of Swine to the M and N Proteins of Porcine Reproductive and Respiratory Syndrome Virus. Clinical and Vaccine Immunology. 17(4). 503–512. 26 indexed citations

Lee, Hyung Tae, Kyoung Hwa Jung, Ji Hyun Park, et al.. (2010). Detection of the Avian Influenza Viruses Nonstructural Protein 1 for Distinction between Vaccinated and Infected Chickens Using Synthetic Peptide-Based ELISA. Journal of Bacteriology and Virology. 40(4). 207–207. 6 indexed citations

Song, Daesub, Bo-Kyu Kang, Chul Seung Lee, et al.. (2008). Transmission of Avian Influenza Virus (H3N2) to Dogs. Emerging infectious diseases. 14(5). 741–746. 268 indexed citations

Park, Seong-Jun, Daesub Song, Gun-Woo Ha, & Bong‐Kyun Park. (2006). Cloning and further sequence analysis of the spike gene of attenuated porcine epidemic diarrhea virus DR13. Virus Genes. 35(1). 55–64. 50 indexed citations

10.

Oh, Jin-Sik, Gun-Woo Ha, Dong-Jun An, et al.. (2006). One-Step Immunochromatography Assay Kit for Detecting Antibodies to Canine Parvovirus. Clinical and Vaccine Immunology. 13(4). 520–524. 38 indexed citations

11.

Song, Daesub, Bo-Kyu Kang, Jeong-Sun Yang, et al.. (2005). Use of an internal control in a quantitative RT-PCR assay for quantitation of porcine epidemic diarrhea virus shedding in pigs. Journal of Virological Methods. 133(1). 27–33. 15 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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