Eun Bong Lee
- Rheumatology top 0.1%
- Immunology top 1%
- Hematology top 0.5%
- Oncology top 2%
- Molecular Biology top 10%
- Co-authors
- Yeong Wook SongEun Young LeeYun Jong LeeDavid GrubenSamuel H. ZwillichBethanie WilkinsonRoy FleischmannGene V. Wallenstein
- Topics
- Rheumatoid Arthritis Research and Therapies (74 papers)Systemic Lupus Erythematosus Research (70 papers)Systemic Sclerosis and Related Diseases (32 papers)
- Cited by
- RheumatologyHematologyImmunology
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Eun Bong Lee
233 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Rheumatology 3.9k
- Immunology 1.8k
- Hematology 1.7k
- Oncology 1.1k
- Molecular Biology 980
Countries citing papers authored by Eun Bong Lee
This map shows the geographic impact of Eun Bong 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 Eun Bong Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun Bong Lee more than expected).
Fields of papers citing papers by Eun Bong Lee
This network shows the impact of papers produced by Eun Bong 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 Eun Bong Lee. The network helps show where Eun Bong Lee may publish in the future.
Co-authorship network of co-authors of Eun Bong Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Eun Bong Lee. A scholar is included among the top collaborators of Eun Bong 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 Eun Bong Lee. Eun Bong Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 31 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | 135 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 32 | |
| 18 | Urine protein-to-creatinine ratio in a random spot urine collection is a reliable measure of proteinuria in lupus nephritis | 1 |
| 19 | Serum levels of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) and pentraxin 3 (PTX3) as markers of infection in febrile patients with systemic lupus erythematosus. | 20 |
| 20 | 7 |
About Eun Bong Lee
Eun Bong Lee is a scholar working on Rheumatology, Hematology and Pathology and Forensic Medicine, having authored 242 papers that have together received 7.2k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (74 papers), Systemic Lupus Erythematosus Research (70 papers) and Systemic Sclerosis and Related Diseases (32 papers). The work is most often cited by research in Rheumatology (3.9k citations), Hematology (1.7k citations) and Immunology (1.8k citations). Eun Bong Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Yeong Wook Song, Eun Young Lee, Yun Jong Lee, David Gruben, Samuel H. Zwillich, Bethanie Wilkinson, Roy Fleischmann, Gene V. Wallenstein, Sriram Krishnaswami and Jin Kyun Park. Their work appears in journals such as New England Journal of Medicine, Advanced Materials and ACS Nano.
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.