S.-S. Lee

405 total citations
13 papers, 301 citations indexed

About

S.-S. Lee is a scholar working on Neurology, Rheumatology and Pathology and Forensic Medicine. According to data from OpenAlex, S.-S. Lee has authored 13 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 5 papers in Rheumatology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in S.-S. Lee's work include Long-Term Effects of COVID-19 (5 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and COVID-19 and Mental Health (2 papers). S.-S. Lee is often cited by papers focused on Long-Term Effects of COVID-19 (5 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and COVID-19 and Mental Health (2 papers). S.-S. Lee collaborates with scholars based in South Korea, Sweden and United States. S.-S. Lee's co-authors include Roderick T. Bronson, Boris Nikolic, Michael J. Grusby, Tae‐Jong Kim, Min Soo Kim, Dae‐Hyun Yoo, Seung‐Jung Kee, Won‐Woo Lee, Marta Kisiel and Helena Janols and has published in prestigious journals such as Journal of Clinical Investigation, Scientific Reports and Annals of the Rheumatic Diseases.

In The Last Decade

S.-S. Lee

10 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.-S. Lee South Korea 4 208 140 43 29 24 13 301
Beth A. Martin United States 8 82 0.4× 66 0.5× 18 0.4× 54 1.9× 41 1.7× 15 242
Lílian Monteiro Pereira Palma Brazil 9 169 0.8× 43 0.3× 33 0.8× 10 0.3× 12 0.5× 28 255
Lauren Pommert United States 8 65 0.3× 102 0.7× 12 0.3× 57 2.0× 18 0.8× 30 228
Ebru Yılmaz Türkiye 9 75 0.4× 47 0.3× 14 0.3× 26 0.9× 8 0.3× 43 189
Robert Greiner United States 5 92 0.4× 65 0.5× 9 0.2× 34 1.2× 13 0.5× 22 218
Stephanie Savelli United States 8 102 0.5× 64 0.5× 50 1.2× 17 0.6× 8 0.3× 14 217
Aimee Hammerstrom United States 6 76 0.4× 86 0.6× 37 0.9× 89 3.1× 7 0.3× 9 257
Kiyomi Mashima Japan 10 45 0.2× 84 0.6× 21 0.5× 45 1.6× 15 0.6× 29 206
X. Delbrel France 8 55 0.3× 106 0.8× 72 1.7× 11 0.4× 8 0.3× 17 198
Florence Uettwiller France 9 54 0.3× 123 0.9× 54 1.3× 13 0.4× 6 0.3× 17 268

Countries citing papers authored by S.-S. Lee

Since Specialization
Citations

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

Fields of papers citing papers by S.-S. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.-S. 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 S.-S. Lee. The network helps show where S.-S. Lee may publish in the future.

Co-authorship network of co-authors of S.-S. Lee

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

All Works

13 of 13 papers shown
3.
Lee, S.-S., Marta Kisiel, Åsa M. Wheelock, et al.. (2025). Using machine learning involving diagnoses and medications as a risk prediction tool for post-acute sequelae of COVID-19 (PASC) in primary care. BMC Medicine. 23(1). 251–251. 1 indexed citations
4.
Kisiel, Marta, S.-S. Lee, Helena Janols, & Ahmad Faramarzi. (2023). Absenteeism Costs Due to COVID-19 and Their Predictors in Non-Hospitalized Patients in Sweden: A Poisson Regression Analysis. International Journal of Environmental Research and Public Health. 20(22). 7052–7052. 3 indexed citations
5.
Kisiel, Marta, et al.. (2023). Clustering Analysis Identified Three Long COVID Phenotypes and Their Association with General Health Status and Working Ability. Journal of Clinical Medicine. 12(11). 3617–3617. 24 indexed citations
8.
Naranjo, Antonio, Nasim A. Khan, Maurizio Cutolo, et al.. (2014). Smoking cessation advice by rheumatologists: results of an international survey. Lara D. Veeken. 53(10). 1825–1829. 23 indexed citations
9.
Shin, Kichul, Sung Jae Choi, Y.-B. Park, et al.. (2014). AB1066 Korean Biologics Registry of Patients with Systemic Rheumatic Disease (KOBIO): A Nationwide Registry to Assess Adverse Events Associated with Biologic Treatment in Korea. Annals of the Rheumatic Diseases. 73. 1153–1154. 3 indexed citations
10.
Lee, S.-S., et al.. (2013). AB0290 Drug survival rates of anti-tumor necrosis factor therapies in patients with rheumatoid arthritis. Annals of the Rheumatic Diseases. 72. A875–A875. 1 indexed citations
11.
Lee, S.-S., et al.. (2013). AB0431 Anti-centromere antibody positive sjögren's syndrome: a distinct clinical subgroup?. Annals of the Rheumatic Diseases. 72. A920–A920. 1 indexed citations
12.
Kee, Seung‐Jung, Tae‐Jong Kim, S.-S. Lee, et al.. (2011). Numerical and functional deficiencies of natural killer T cells in systemic lupus erythematosus: their deficiency related to disease activity. Lara D. Veeken. 50(6). 1054–1063. 68 indexed citations
13.
Nikolic, Boris, et al.. (2000). Th1 and Th2 mediate acute graft-versus-host disease, each with distinct end-organ targets. Journal of Clinical Investigation. 105(9). 1289–1298. 176 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026