Sang‐Do Lee

8.4k total citations
309 papers, 5.8k citations indexed

About

Sang‐Do Lee is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Epidemiology. According to data from OpenAlex, Sang‐Do Lee has authored 309 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 208 papers in Pulmonary and Respiratory Medicine, 72 papers in Physiology and 55 papers in Epidemiology. Recurrent topics in Sang‐Do Lee's work include Chronic Obstructive Pulmonary Disease (COPD) Research (129 papers), Respiratory Support and Mechanisms (65 papers) and Asthma and respiratory diseases (59 papers). Sang‐Do Lee is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (129 papers), Respiratory Support and Mechanisms (65 papers) and Asthma and respiratory diseases (59 papers). Sang‐Do Lee collaborates with scholars based in South Korea, United States and Ethiopia. Sang‐Do Lee's co-authors include Yeon‐Mok Oh, Tae Sun Shim, Woo Sung Kim, Dong Soon Kim, Younsuck Koh, Won Dong Kim, Chae‐Man Lim, Joon Beom Seo, Jae Seung Lee and Ji‐Hyun Lee and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Sang‐Do Lee

294 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang‐Do Lee South Korea 40 3.8k 1.4k 1.1k 641 588 309 5.8k
Yeon‐Mok Oh South Korea 40 3.8k 1.0× 1.4k 0.9× 859 0.8× 528 0.8× 616 1.0× 358 5.9k
Toyohiro Hirai Japan 43 5.0k 1.3× 2.0k 1.4× 803 0.7× 410 0.6× 793 1.3× 341 7.3k
Marco Confalonieri Italy 40 4.0k 1.0× 761 0.5× 1.5k 1.4× 453 0.7× 425 0.7× 185 6.1k
Andrea Bianco Italy 40 1.7k 0.5× 1.2k 0.8× 991 0.9× 727 1.1× 360 0.6× 142 5.5k
Robert Paine United States 40 2.9k 0.8× 936 0.7× 956 0.9× 350 0.5× 390 0.7× 131 6.0k
Gary M. Hunninghake United States 39 3.9k 1.0× 1.9k 1.3× 747 0.7× 179 0.3× 405 0.7× 102 6.3k
Jin Hwa Lee South Korea 35 2.5k 0.7× 1.1k 0.7× 562 0.5× 233 0.4× 476 0.8× 249 5.0k
Alberto Zanella Italy 46 2.0k 0.5× 2.4k 1.7× 1.6k 1.5× 417 0.7× 854 1.5× 297 7.9k
Louis Irving Australia 42 3.5k 0.9× 753 0.5× 716 0.7× 206 0.3× 710 1.2× 213 5.8k
Romain Kessler France 42 5.2k 1.4× 2.1k 1.4× 811 0.7× 382 0.6× 971 1.7× 206 7.1k

Countries citing papers authored by Sang‐Do Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Do Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Do 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 Sang‐Do Lee. The network helps show where Sang‐Do Lee may publish in the future.

Co-authorship network of co-authors of Sang‐Do Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Do Lee. A scholar is included among the top collaborators of Sang‐Do Lee 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 Sang‐Do Lee. Sang‐Do Lee 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.
Kwon, Byoung Soo, Jun Hee Lee, Younsuck Koh, et al.. (2019). The natural history of non-cavitary nodular bronchiectatic Mycobacterium avium complex lung disease. Respiratory Medicine. 150. 45–50. 29 indexed citations
2.
Kim, Mi‐Ae, Tae Hoon Kim, Eun Kyung Kim, et al.. (2019). <p>Impact of symptom variability on clinical outcomes in COPD: analysis of a longitudinal cohort</p>. International Journal of COPD. Volume 14. 2135–2144. 6 indexed citations
3.
Oh, Dong Kyu, Jong‐Min Song, Duk‐Woo Park, et al.. (2018). The effect of a multidisciplinary team on the implementation rates of major diagnostic and therapeutic procedures of chronic thromboembolic pulmonary hypertension. Heart & Lung. 48(1). 28–33. 6 indexed citations
4.
Oh, Yeon‐Mok, Keu Sung Lee, Yoonki Hong, et al.. (2018). Blood eosinophil count as a prognostic biomarker in COPD. International Journal of COPD. Volume 13. 3589–3596. 27 indexed citations
5.
6.
Loh, Li‐Cher, Hyun Jung Koo, Sang Min Lee, et al.. (2018). A novel CT-emphysema index/FEV<sub>1</sub> approach of phenotyping COPD to predict mortality. International Journal of COPD. Volume 13. 2543–2550. 6 indexed citations
7.
Kim, Woo Jin, Jae Hyun Lim, Jae‐Seung Lee, et al.. (2015). Comprehensive Analysis of Transcriptome Sequencing Data in the Lung Tissues of COPD Subjects. International Journal of Genomics. 2015. 1–9. 60 indexed citations
8.
Kang, Byung Ju, Sun In Hong, Jung Su Lee, et al.. (2014). Clinical Characteristics and Survival of Korean Idiopathic Pulmonary Arterial Hypertension Patients Based on Vasoreactivity. Journal of Korean Medical Science. 29(12). 1665–1665. 3 indexed citations
9.
Shim, Tae Sun, et al.. (2013). Current status of fluoroquinolone use for treatment of tuberculosis in Korea. European Respiratory Journal. 42(Suppl 57). P2822–P2822. 1 indexed citations
10.
Kim, Sun‐Yong, Ji‐Hyun Lee, Jin Won Huh, et al.. (2012). Bortezomib Alleviates Experimental Pulmonary Arterial Hypertension. American Journal of Respiratory Cell and Molecular Biology. 47(5). 698–708. 37 indexed citations
11.
Kim, Sunghwan, et al.. (2011). Prognostic Value of Echocardiographic Estimation of Pulmonary Vascular Resistance in Patients with Acute Pulmonary Thromboembolism. Journal of the American Society of Echocardiography. 24(6). 693–698. 4 indexed citations
12.
Lee, Sang‐Do, et al.. (2009). A Study on the Correlation between Listening Comprehension and Reading Comprehension through an Analysis of TOEIC Score. 16(1). 111–128. 1 indexed citations
13.
Lee, Sang‐Do, et al.. (2004). Extrapulmonary manifestations in patients with chronic obstructive pulmonary disease.. The Korean Journal of Internal Medicine. 67(2). 113–120.
14.
Kim, Won Dong, et al.. (2002). Abnormal Peripheral Blood T-Lymphocyte Subsets in a Subgroup of Patients With COPD. CHEST Journal. 122(2). 437–444. 45 indexed citations
15.
Kim, Soon‐Jong, Tae Sun Shim, Chae‐Man Lim, et al.. (2002). Twenty cases of diffuse alveolar hemorrhage : A single center retrospective study. The Korean Journal of Internal Medicine. 62(3). 258–267. 2 indexed citations
16.
Lee, Ji‐Hyun, In‐Chul Lee, Rubin M. Tuder, et al.. (2001). Pathogenic Role of Endothelin 1 in Hemodynamic Dysfunction in Experimental Acute Pulmonary Thromboembolism. American Journal of Respiratory and Critical Care Medicine. 164(7). 1282–1287. 40 indexed citations
17.
Lee, Sang‐Do, et al.. (2001). A Study on Physical Work Capacity and Rest Allowance for Korean. Journal of the Ergonomics Society of Korea. 20(3). 37–46. 2 indexed citations
18.
Tuder, Rubin M., et al.. (1998). Histopathology of Pulmonary Hypertension. CHEST Journal. 114(1). 1S–6S. 31 indexed citations
19.
Lee, Sang‐Do, et al.. (1994). Evaluation of isokinetic muscular strength of elbow flexors and extensors for Korean adults. Journal of the Ergonomics Society of Korea. 13(2). 49–55. 1 indexed citations
20.
Lee, Sang‐Do, et al.. (1993). Ergonomic Design of Standard Wheelchair for Korean Adults. Journal of the Korean Society of Safety. 8(2). 94–98. 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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