Jae‐Won Oh

2.5k total citations
109 papers, 1.5k citations indexed

About

Jae‐Won Oh is a scholar working on Immunology and Allergy, Physiology and Dermatology. According to data from OpenAlex, Jae‐Won Oh has authored 109 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Immunology and Allergy, 34 papers in Physiology and 19 papers in Dermatology. Recurrent topics in Jae‐Won Oh's work include Allergic Rhinitis and Sensitization (49 papers), Asthma and respiratory diseases (34 papers) and Dermatology and Skin Diseases (12 papers). Jae‐Won Oh is often cited by papers focused on Allergic Rhinitis and Sensitization (49 papers), Asthma and respiratory diseases (34 papers) and Dermatology and Skin Diseases (12 papers). Jae‐Won Oh collaborates with scholars based in South Korea, United States and Japan. Jae‐Won Oh's co-authors include Young‐Jin Choi, Hey‐Sung Baek, Kyu Rang Kim, Dale T. Umetsu, Gerald J. Berry, Rosemarie H. DeKruyff, Everett Meyer, Christine M. Seroogy, Omid Akbari and C. Garrison Fathman and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Allergy and Clinical Immunology.

In The Last Decade

Jae‐Won Oh

103 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jae‐Won Oh South Korea 24 746 576 258 232 215 109 1.5k
J. Quiralte Spain 28 1.3k 1.7× 795 1.4× 813 3.2× 255 1.1× 247 1.1× 84 2.6k
Renee Jaramillo United States 15 894 1.2× 750 1.3× 221 0.9× 150 0.6× 58 0.3× 19 1.6k
Víctor Matheu Spain 16 575 0.8× 482 0.8× 291 1.1× 112 0.5× 66 0.3× 74 1.3k
Kazuo Akiyama Japan 30 703 0.9× 1.3k 2.3× 286 1.1× 986 4.3× 148 0.7× 162 2.7k
A. Lanteaume France 24 799 1.1× 704 1.2× 354 1.4× 264 1.1× 34 0.2× 49 1.7k
Ana Todo‐Bom Portugal 16 773 1.0× 658 1.1× 350 1.4× 261 1.1× 32 0.1× 63 1.3k
Leonardo Antonicelli Italy 26 1.3k 1.8× 1.3k 2.2× 554 2.1× 755 3.3× 49 0.2× 89 2.5k
M. L. Kowalski Poland 10 1.6k 2.1× 1.1k 1.9× 656 2.5× 327 1.4× 79 0.4× 20 2.4k
Martin I. Sachs United States 14 1.0k 1.3× 632 1.1× 343 1.3× 409 1.8× 46 0.2× 35 1.9k
Feo F Spain 21 800 1.1× 345 0.6× 364 1.4× 100 0.4× 52 0.2× 103 1.4k

Countries citing papers authored by Jae‐Won Oh

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Won Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Won Oh. 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 Jae‐Won Oh. The network helps show where Jae‐Won Oh may publish in the future.

Co-authorship network of co-authors of Jae‐Won Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Won Oh. A scholar is included among the top collaborators of Jae‐Won Oh 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 Jae‐Won Oh. Jae‐Won Oh 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
1.
Oh, Jae‐Won, et al.. (2024). Association between preterm birth and asthma and atopic dermatitis in preschool children: a nationwide population-based study. European Journal of Pediatrics. 183(12). 5383–5393. 1 indexed citations
2.
Kim, Kyu Rang, et al.. (2024). Prediction Model for Annual Variation in Total Pollen by Allergenic Trees in Korean Cities. Allergy Asthma and Immunology Research. 16(1). 109–109.
3.
Choi, Young‐Jin, Kyung Suk Lee, & Jae‐Won Oh. (2024). Inverse Trend Between Tree Pollen and Fungal Concentrations With Allergic Sensitization Rates in Seoul for 25 Years. Allergy Asthma and Immunology Research. 16(6). 571–571.
4.
Choi, Young‐Jin, Kyung Suk Lee, Jin Hyeok Jeong, et al.. (2023). Annual Change in Fungal Concentrations and Allergic Sensitization Rates to Alternaria and Cladosporium in Korea During the Period 1998–2022. Allergy Asthma and Immunology Research. 15(6). 825–825. 5 indexed citations
5.
Pawankar, Ruby, Bernard Yu‐Hor Thong, Jiu‐Yao Wang, et al.. (2023). COVID-19 in the Asia Pacific: Impact on climate change, allergic diseases and One Health. Asia Pacific Allergy. 13(1). 44–49. 2 indexed citations
6.
Kim, Jihye, et al.. (2022). Age-Specific Characteristics of Adult and Pediatric Respiratory Viral Infections: A Retrospective Single-Center Study. Journal of Clinical Medicine. 11(11). 3197–3197. 8 indexed citations
7.
Demain, Jeffrey G., Young‐Jin Choi, & Jae‐Won Oh. (2021). The Impact of Climate Change on the Pollen Allergy and Sporulation of Allergic Fungi. Current Treatment Options in Allergy. 8(1). 60–73. 7 indexed citations
8.
Lee, Kyung Suk, Kyunghoon Kim, Young‐Jin Choi, et al.. (2021). Increased sensitization rates to tree pollens in allergic children and adolescents and a change in the pollen season in the metropolitan area of Seoul, Korea. Pediatric Allergy and Immunology. 32(5). 872–879. 28 indexed citations
9.
Shin, Ju‐Young, et al.. (2020). Allergenic Pollen Calendar in Korea Based on Probability Distribution Models and Up-to-Date Observations. Allergy Asthma and Immunology Research. 12(2). 259–259. 25 indexed citations
10.
Oh, Jae‐Won, et al.. (2019). Automatic Extraction of Dependencies between Web Components and Database Resources in Java Web Applications. Journal of information and communication convergence engineering. 17(2). 149–160. 2 indexed citations
11.
Oh, Jae‐Won. (2018). The impact of climate change on pollen allergy in Korea. Allergy Asthma & Respiratory Disease. 6(Suppl 1). S31–S31. 2 indexed citations
12.
Oh, Jae‐Won, et al.. (2017). MVC Architecture-aware Restructuring of Web Apps. The Journal of the Korean Institute of Information and Communication Engineering. 21(11). 2153–2166.
13.
Oh, Jae‐Won, et al.. (2017). Automatic Extraction of Component Collaboration in Java Web Applications by Using Servlet Filters and Wrappers. KIPS Transactions on Software and Data Engineering. 6(7). 329–336. 2 indexed citations
14.
Oh, Jae‐Won, et al.. (2014). Development of binary forecast models of asthma exacerbation: Asthma index. European Respiratory Journal. 44(Suppl 58). P4056–P4056. 1 indexed citations
15.
Moon, Jin‐Hwa, Sung Won Kim, Ja Kyung Kim, et al.. (2012). The Level of Serum Immunoglobulin E Measured at General Hospitals in Six Regions of Korea in Children with Allergic Diseases. 22(1). 45–45. 1 indexed citations
16.
Oh, Jae‐Won. (2011). Food Additives and Allergic Diseases in Childhood. Hanyang Medical Reviews. 31(4). 261–261. 3 indexed citations
17.
Lee, Byungjeong, et al.. (2010). A Classification Technique for Configuration Requirements Elicitation of SaaS. Jeongbo gwahaghoe nonmunji. keompyuting ui silje. 16(12). 1259–1263. 2 indexed citations
18.
Park, Yongsoon, et al.. (2010). Asthma Development Partially Linked to Adiponectin and Leptin in Overweight Children. 20(1). 48–58. 1 indexed citations
19.
20.
Oh, Jae‐Won, et al.. (2000). Risk Factors for Neonatal Sepsis in Premature Infants Admitted to Neonatal Intensive Care Unit. Korean Journal of Pediatrics. 43(9). 1174–1179. 1 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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