Cheryl Kim
Impact in
- Immunology top 10%
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Atherosclerosis and Cardiovascular Diseases
Papers in
-
- Single-cell and spatial transcriptomics 5
- Ginseng Biological Effects and Applications 1
-
- Immune Cell Function and Interaction 3
- Immune cells in cancer 3
- Co-authors
- Catherine C. Hedrick (5 shared papers)Paola Marcovecchio (4 shared papers)Huy Q. Dinh (4 shared papers)Amy Blatchley (2 shared papers)Runpei Wu (3 shared papers)Grégory Seumois (3 shared papers)Lindsey E. Padgett (3 shared papers)Pandurangan Vijayanand (3 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Cell Reports (2 papers)PLoS neglected tropical diseases (1 paper)iScience (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- United StatesSri LankaSwitzerland
In The Last Decade
Cheryl Kim
8 papers receiving 342 citations
Peers
Comparison fields: 5 of 53
- Immunology 235
- Neurology 18
- Oncology 47
- Infectious Diseases 32
- Biological Psychiatry 4
Countries citing papers authored by Cheryl Kim
This map shows the geographic impact of Cheryl Kim'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 Cheryl Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheryl Kim more than expected).
Fields of papers citing papers by Cheryl Kim
This network shows the impact of papers produced by Cheryl Kim. 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 Cheryl Kim. The network helps show where Cheryl Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheryl Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 157 | |
| 2 | 2018 | 128 | |
| 3 | 2019 | 27 | |
| 4 | 2024 | 13 | |
| 5 | 2019 | 9 | |
| 6 | 2018 | 7 | |
| 7 | 2017 | 3 | |
| 8 | 2019 | 1 | |
| 9 | 2025 | 0 |
About Cheryl Kim
Cheryl Kim is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Public Health, Environmental and Occupational Health and Hematology, having authored 9 papers that have together received 345 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Immune Cell Function and Interaction (3 papers), Immune cells in cancer (3 papers), Acute Myeloid Leukemia Research (2 papers), Mosquito-borne diseases and control (2 papers), Viral Infections and Vectors (2 papers), Ginseng Biological Effects and Applications (1 paper) and Vector-borne infectious diseases (1 paper). The work is most often cited by research in Immunology (235 citations), Neurology (18 citations), Oncology (47 citations), Infectious Diseases (32 citations) and Biological Psychiatry (4 citations). Cheryl Kim has collaborated with scholars based in United States, Sri Lanka and Switzerland. Frequent co-authors include Catherine C. Hedrick, Paola Marcovecchio, Huy Q. Dinh, Amy Blatchley, Runpei Wu, Grégory Seumois, Lindsey E. Padgett, Pandurangan Vijayanand, Yanfang Peipei Zhu and Ariel Madrigal. Their work appears in journals such as Journal of Visualized Experiments, Cell Reports, PLoS neglected tropical diseases, iScience and Arteriosclerosis Thrombosis and Vascular Biology.
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.