Joon-Sung Joh

2.4k total citations
50 papers, 774 citations indexed

About

Joon-Sung Joh is a scholar working on Infectious Diseases, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joon-Sung Joh has authored 50 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Infectious Diseases, 19 papers in Epidemiology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joon-Sung Joh's work include Tuberculosis Research and Epidemiology (14 papers), COVID-19 Clinical Research Studies (13 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Joon-Sung Joh is often cited by papers focused on Tuberculosis Research and Epidemiology (14 papers), COVID-19 Clinical Research Studies (13 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Joon-Sung Joh collaborates with scholars based in South Korea, United States and Ethiopia. Joon-Sung Joh's co-authors include Ji Yeon Lee, Ina Jeong, Yeonjae Kim, Hyoung‐Shik Shin, Gayeon Kim, Jun-Sun Park, Ran‐hui Cha, Dong‐Gyun Lim, Hana Kim and Gerard J. Nuovo and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Virology and Scientific Reports.

In The Last Decade

Joon-Sung Joh

45 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joon-Sung Joh South Korea 13 528 261 151 128 88 50 774
Elena Seminari Italy 20 847 1.6× 297 1.1× 111 0.7× 60 0.5× 50 0.6× 87 1.2k
Mathieu Blot France 12 323 0.6× 227 0.9× 102 0.7× 87 0.7× 107 1.2× 54 708
Fu-Meng Khaw United Kingdom 7 599 1.1× 113 0.4× 176 1.2× 130 1.0× 30 0.3× 11 863
Ayelet Grupper Israel 16 796 1.5× 92 0.4× 67 0.4× 145 1.1× 80 0.9× 64 1.2k
Valentina Zuccaro Italy 13 407 0.8× 101 0.4× 186 1.2× 51 0.4× 68 0.8× 43 592
Seong‐Ho Choi South Korea 17 319 0.6× 271 1.0× 67 0.4× 257 2.0× 162 1.8× 58 908
Silvia Spoto Italy 17 234 0.4× 340 1.3× 61 0.4× 109 0.9× 120 1.4× 72 867
Francisco Carmona-Torre Spain 14 169 0.3× 214 0.8× 55 0.4× 51 0.4× 34 0.4× 46 635

Countries citing papers authored by Joon-Sung Joh

Since Specialization
Citations

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

Fields of papers citing papers by Joon-Sung Joh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joon-Sung Joh. 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 Joon-Sung Joh. The network helps show where Joon-Sung Joh may publish in the future.

Co-authorship network of co-authors of Joon-Sung Joh

This figure shows the co-authorship network connecting the top 25 collaborators of Joon-Sung Joh. A scholar is included among the top collaborators of Joon-Sung Joh 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 Joon-Sung Joh. Joon-Sung Joh 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.
2.
Kim, Won‐Young, Sun‐Young Jung, Jeong-Yeon Kim, et al.. (2024). ECMO is associated with decreased hospital mortality in COVID-19 ARDS. Scientific Reports. 14(1). 14835–14835. 2 indexed citations
3.
Kim, Won‐Young, Young‐Jae Cho, Jinwoo Lee, et al.. (2024). Pulmonary fibrosis followed by severe pneumonia in patients with COVID-19 infection requiring mechanical ventilation: a prospective multicentre study. BMJ Open Respiratory Research. 11(1). e002538–e002538. 2 indexed citations
4.
Lee, Ji Yeon, et al.. (2024). Identifying Predictors of Unfavorable Treatment Outcomes in Tuberculosis Patients. International Journal of Environmental Research and Public Health. 21(11). 1454–1454. 2 indexed citations
5.
6.
Lee, Hyeon‐Jeong, Hye Jin Jang, Won-Il Choi, et al.. (2023). Comparison of safety and efficacy between therapeutic or intermediate versus prophylactic anticoagulation for thrombosis in COVID-19 patients: a systematic review and meta-analysis. Acute and Critical Care. 38(2). 160–171. 2 indexed citations
7.
8.
Kim, Hyung Woo, Jinsoo Min, Yousang Ko, et al.. (2023). Risk of loss to follow-up among tuberculosis patients in South Korea: whom should we focus on?. Frontiers in Public Health. 11. 1247772–1247772. 3 indexed citations
9.
Chin, Bum Sik, et al.. (2023). Predictive Factors and Clinical Impacts of Delayed Isolation of Tuberculosis during Hospital Admission. Journal of Clinical Medicine. 12(4). 1361–1361. 1 indexed citations
10.
Lee, Hyeon‐Jeong, et al.. (2022). Efficacy and safety of prone position in COVID-19 patients with respiratory failure: a systematic review and meta-analysis. European journal of medical research. 27(1). 310–310. 7 indexed citations
11.
Joh, Joon-Sung, Mo‐Yeol Kang, & Jun‐Pyo Myong. (2021). Dose–Response Relationship between Environmental Exposure to Nickel and Pulmonary Function in the Korean General Population Aged 40 or Older. International Journal of Environmental Research and Public Health. 18(13). 7016–7016. 9 indexed citations
12.
Lee, Hae‐Young, Chang Kyung Kang, Sungho Won, et al.. (2021). Beneficial Effect of Statins in COVID-19–Related Outcomes—Brief Report. Arteriosclerosis Thrombosis and Vascular Biology. 41(3). e175–e182. 33 indexed citations
13.
Kim, You-Young, Joon-Sung Joh, & Ji Yeon Lee. (2020). Importance of microbial extracellular vesicle in the pathogenesis of asthma and chronic obstructive pulmonary disease and its diagnostic potential. Asia Pacific Allergy. 10(3). e25–e25. 12 indexed citations
14.
Park, Wan Beom, Kang Il Jun, Jae‐Phil Choi, et al.. (2018). Correlation between Pneumonia Severity and Pulmonary Complications in Middle East Respiratory Syndrome. Journal of Korean Medical Science. 33(24). e169–e169. 70 indexed citations
15.
Lee, Ji Yeon, Jongbin Kim, Eun Hee Chung, et al.. (2017). The clinical and virological features of the first imported case causing MERS-CoV outbreak in South Korea, 2015. BMC Infectious Diseases. 17(1). 498–498. 65 indexed citations
16.
Lee, Ji Yeon, Gayeon Kim, Dong‐Gyun Lim, et al.. (2016). Seroprevalence of Middle East Respiratory Syndrome Coronavirus Among Healthcare Personnel Caring for Patients With Middle East Respiratory Syndrome in South Korea. Infection Control and Hospital Epidemiology. 37(12). 1513–1514. 4 indexed citations
17.
Cha, Ran‐hui, Joon-Sung Joh, Ina Jeong, et al.. (2015). Renal Complications and Their Prognosis in Korean Patients with Middle East Respiratory Syndrome-Coronavirus from the Central MERS-CoV Designated Hospital. Journal of Korean Medical Science. 30(12). 1807–1807. 66 indexed citations
18.
Lee, Ji Yeon, et al.. (2015). Differential expression of CD57 in antigen-reactive CD4+ T cells between active and latent tuberculosis infection. Clinical Immunology. 159(1). 37–46. 8 indexed citations
19.
Choi, Hongjo, Myungsun Lee, Ray Y. Chen, et al.. (2014). Predictors of pulmonary tuberculosis treatment outcomes in South Korea: a prospective cohort study, 2005-2012. BMC Infectious Diseases. 14(1). 360–360. 57 indexed citations
20.
Kim, Hee Joung, Hye Won Lee, Ji Eun Lee, et al.. (2006). Lack of association between the microsatellite polymorphism in intron 2 of human Toll‐like receptor 2 gene and bronchiectasis among Koreans. Respirology. 12(1). 49–53. 6 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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