Michelle Kim
Impact in
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research
- Immunology top 10%
- T-cell and B-cell Immunology
- Atherosclerosis and Cardiovascular Diseases
Papers in
-
- Renal Transplantation Outcomes and Treatments 4
- Genetics 12
- Glioma Diagnosis and Treatment 8
- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Margaret E. BeierVeronica LeautaudAnn SaterbakSandra Whaley BishnoiJames MooreBevra H. HahnHui WuXin Dong
- Journals
- Neuro-Oncology (6 papers)The Journal of Urology (3 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Journal of Clinical Microbiology (2 papers)Human Molecular Genetics (2 papers)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Michelle Kim
66 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 139
- Rheumatology 365
- Immunology 308
- Hepatology 112
- Pathology and Forensic Medicine 180
- Transplantation 23
Countries citing papers authored by Michelle Kim
This map shows the geographic impact of Michelle 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 Michelle Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Kim more than expected).
Fields of papers citing papers by Michelle Kim
This network shows the impact of papers produced by Michelle 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 Michelle Kim. The network helps show where Michelle Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michelle 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 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 85 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 20 | |
| 10 | 2021 | 11 | |
| 11 | 2020 | 52 | |
| 12 | 2020 | 11 | |
| 13 | 2020 | 15 | |
| 14 | 2020 | 52 | |
| 15 | 2018 | 11 | |
| 16 | 2015 | 4 | |
| 17 | 2013 | 7 | |
| 18 | 2008 | 19 | |
| 19 | 2008 | 39 | |
| 20 | 2007 | 15 |
About Michelle Kim
Michelle Kim is a scholar working on Transplantation, Genetics, Geriatrics and Gerontology, Neuropsychology and Physiological Psychology and Hepatology, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Organ Transplantation Techniques and Outcomes (5 papers), Renal Transplantation Outcomes and Treatments (4 papers), Brain Metastases and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cardiac Valve Diseases and Treatments (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Rheumatology (365 citations), Immunology (308 citations), Hepatology (112 citations), Pathology and Forensic Medicine (180 citations) and Transplantation (23 citations). Michelle Kim has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Margaret E. Beier, Veronica Leautaud, Ann Saterbak, Sandra Whaley Bishnoi, James Moore, Bevra H. Hahn, Hui Wu, Xin Dong, Haoling H. Weng and Weiling Chen. Their work appears in journals such as Neuro-Oncology, The Journal of Urology, International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Microbiology and Human Molecular Genetics.
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.