Mimi Kim
Impact in
- Rheumatology top 0.1%
- Systemic Lupus Erythematosus Research
- Nephrology top 1%
- Renal Diseases and Glomerulopathies
Papers in
- Rheumatology 39
- Systemic Lupus Erythematosus Research 37
- Oncology 19
- Cancer Risks and Factors 9
- Co-authors
- Jill P. Buyon (30 shared papers)Michelle Petri (11 shared papers)Joan T. Merrill (14 shared papers)Deborah Friedman (11 shared papers)Thomas E. Rohan (27 shared papers)Peter Izmirly (15 shared papers)Geoffrey C. Kabat (22 shared papers)Jane E. Salmon (17 shared papers)
- Journals
- Cancer Causes & Control (8 papers)Statistics in Medicine (7 papers)Annals of the Rheumatic Diseases (5 papers)Lupus Science & Medicine (5 papers)Arthritis & Rheumatology (4 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Mimi Kim
189 papers receiving 7.6k citations
Mimi Kim's Hit Papers
Peers
Comparison fields: 5 of 164
- Rheumatology 2.6k
- Nephrology 466
- Immunology 1.2k
- Obstetrics and Gynecology 320
- Hepatology 239
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-authors
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
Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mycophenolate Mofetil or Intravenous Cyclophosphamide for Lupus Nephritis Hit paper breakdown → | 2005 | 770 |
| 2 | Predictors of Pregnancy Outcomes in Patients With Lupus Hit paper breakdown → | 2015 | 371 |
| 3 | 2012 | 273 | |
| 4 | 2012 | 263 | |
| 5 | 1999 | 219 | |
| 6 | 2008 | 189 | |
| 7 | 2008 | 185 | |
| 8 | 2011 | 180 | |
| 9 | 2004 | 130 | |
| 10 | 2015 | 123 | |
| 11 | 2011 | 121 | |
| 12 | 2012 | 121 | |
| 13 | 2012 | 120 | |
| 14 | 2009 | 120 | |
| 15 | 2018 | 118 | |
| 16 | 2006 | 111 | |
| 17 | 2007 | 110 | |
| 18 | 2019 | 107 | |
| 19 | 2020 | 107 | |
| 20 | 2009 | 105 |
About Mimi Kim
Mimi Kim is a scholar working on Rheumatology, Oncology, Epidemiology, Statistics and Probability and Molecular Biology, having authored 196 papers that have together received 7.8k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (37 papers), Statistical Methods in Clinical Trials (13 papers), Traumatic Brain Injury Research (10 papers), Advanced Causal Inference Techniques (9 papers), Cancer Risks and Factors (9 papers), Statistical Methods and Inference (7 papers), Metabolism, Diabetes, and Cancer (6 papers) and Statistical Methods and Bayesian Inference (6 papers). The work is most often cited by research in Rheumatology (2.6k citations), Nephrology (466 citations), Immunology (1.2k citations), Obstetrics and Gynecology (320 citations) and Hepatology (239 citations). Mimi Kim has collaborated with scholars based in United States, France and Canada. 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, Annals of the Rheumatic Diseases, Lupus Science & Medicine 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.