Sik Lee

121 papers receiving 4.1k citations

Sik Lee's Hit Papers

Distinct Macrophage Phenotypes Contribute to Kidney Injury and Repair 2011 · 737 citations
7370+5+10Years since publication200400600

Peers

Sik Lee
Comparison fields: 5 of 154
  • Nephrology 802
  • Geriatrics and Gerontology 212
  • Transplantation 135
  • Pathology and Forensic Medicine 477
  • Immunology 473
Replace Raphael A. Nemenoff with:
Raphael A. Nemenoff United States
Kenjiro Kimura Japan
Joel D. Morrisett United States
Ming Wu China
Bojan Cercek United States
Haiyong Chen China
Philip Wenzel Germany
Stefan Chłopicki Poland
Natalie J. Serkova United States
James A. Raleigh United States
Sik Lee relative to Raphael A. Nemenoff United States Raphael A. Nemenoff's profile →
Citations per field
00.5×10×16.3×
Raphael A. Nemenoff · 1×
Citations per year

Countries citing papers authored by Sik Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sik Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sik Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sik Lee Line = papers co-authored together Sik Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Distinct Macrophage Phenotypes Contribute to Kidney Injury and Repair
Hit paper breakdown →
2011737
2 1995171
3 2008166
4 2011158
5 2014127
6 2004117
7 2003109
8 2003107
9 2010106
10 200697
11 199997
12 201394
13 199691
14 201080
15 201278
16 201476
17 201475
18 201274
19 200674
20 200473

About Sik Lee

Sik Lee is a scholar working on Molecular Biology, Surgery, Nephrology, Oncology and Pulmonary and Respiratory Medicine, having authored 125 papers that have together received 4.2k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (11 papers), Digital Image Processing Techniques (8 papers), Organ Donation and Transplantation (7 papers), Renal and Vascular Pathologies (6 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Chemotherapy-induced organ toxicity mitigation (5 papers), Advanced Chemical Physics Studies (5 papers) and Abdominal vascular conditions and treatments (5 papers). The work is most often cited by research in Nephrology (802 citations), Geriatrics and Gerontology (212 citations), Transplantation (135 citations), Pathology and Forensic Medicine (477 citations) and Immunology (473 citations). Sik Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kyung Pyo Kang, Kwang S. Kim, Won Kim, Sung Kwang Park, Yu Jin Jung, Mi Jeong Sung, Ae Sin Lee, Jongseob Kim, Lloyd G. Cantley and Duk Hoon Kim. Their work appears in journals such as Nephrology Dialysis Transplantation, Nephrology, Kidney Research and Clinical Practice, Biochemical and Biophysical Research Communications and Journal of the American Society of Nephrology.

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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