Mimi Kim
- Rheumatology top 0.1%
- Systemic Lupus Erythematosus Research 41
- Nephrology top 0.5%
- Renal Diseases and Glomerulopathies 9
- Immunology top 1%
- Reproductive System and Pregnancy 10
- Obstetrics and Gynecology top 1%
- Hepatology top 2%
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- Cancer Risks and Factors 20
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- Traumatic Brain Injury Research 14
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- Statistical Methods in Clinical Trials 14
- Advanced Causal Inference Techniques 10
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- Cancer, Lipids, and Metabolism 9
- Co-authors
- Jill P. BuyonMichelle PetriJoan T. MerrillDeborah FriedmanThomas E. RohanPeter IzmirlyGeoffrey C. KabatJane E. Salmon
- Cited by
- RheumatologyNephrologyImmunology
- Journals
- Cancer Causes & Control (8 papers)Statistics in Medicine (7 papers)Lupus Science & Medicine (5 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Mimi Kim
188 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Rheumatology 2.8k
- Nephrology 734
- Immunology 1.7k
- Obstetrics and Gynecology 452
- Hepatology 359
Countries citing papers authored by Mimi Kim
This map shows the geographic impact of Mimi 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 Mimi Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mimi Kim more than expected).
Fields of papers citing papers by Mimi Kim
This network shows the impact of papers produced by Mimi 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 Mimi Kim. The network helps show where Mimi Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mimi 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 | 2023 | 2 | |
| 3 | 2020 | 20 | |
| 4 | 2020 | 11 | |
| 5 | 2020 | 101 | |
| 6 | 2020 | 24 | |
| 7 | 2019 | 3 | |
| 8 | 2019 | 10 | |
| 9 | 2017 | 23 | |
| 10 | 2015 | 21 | |
| 11 | 2015 | 122 | |
| 12 | 2014 | 12 | |
| 13 | 2012 | 120 | |
| 14 | 2011 | 84 | |
| 15 | 2011 | 72 | |
| 16 | 2010 | 66 | |
| 17 | 2009 | 61 | |
| 18 | 2009 | 23 | |
| 19 | 2007 | 33 | |
| 20 | 2006 | 84 |
About Mimi Kim
Mimi Kim is a scholar working on Rheumatology, Statistics and Probability and Nephrology, having authored 195 papers that have together received 7.7k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (41 papers), Cancer Risks and Factors (20 papers), Traumatic Brain Injury Research (14 papers), Statistical Methods in Clinical Trials (14 papers), Reproductive System and Pregnancy (10 papers), Advanced Causal Inference Techniques (10 papers), Renal Diseases and Glomerulopathies (9 papers) and Cancer, Lipids, and Metabolism (9 papers). The work is most often cited by research in Rheumatology (2.8k citations), Nephrology (734 citations) and Immunology (1.7k citations). Mimi Kim has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Jill P. Buyon, Michelle Petri, Joan T. Merrill, Deborah Friedman, Thomas E. Rohan, Peter Izmirly, Geoffrey C. Kabat, Jane E. Salmon, Carolina Llanos and Marta Guerra. Their work appears in journals such as Cancer Causes & Control, Statistics in Medicine, Lupus Science & Medicine, Pediatric Blood & Cancer and Arthritis & Rheumatology.
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.