Stella Kim
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Oncology top 10%
- CAR-T cell therapy research
- HER2/EGFR in Cancer Research
Papers in
- Education 16
- Online and Blended Learning 11
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- Psychometric Methodologies and Testing 11
- Co-authors
- Bita Esmaeli (4 shared papers)Merrick I. Ross (2 shared papers)Víctor G. Prieto (2 shared papers)Michelle A. Fanale (4 shared papers)Viet H. Ho (1 shared paper)Aisha Khaleeq (1 shared paper)Alberto Esquenazi (1 shared paper)Demet Ofluoğlu (1 shared paper)
- Journals
- Blood (6 papers)Educational Measurement Issues and Practice (4 papers)Journal of Educational Measurement (4 papers)Online Learning (3 papers)Educational and Psychological Measurement (3 papers)
- Partner nations
- United StatesSouth KoreaMacao
In The Last Decade
Stella Kim
51 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 124
- Hematology 217
- Oncology 347
- Ophthalmology 106
- Pathology and Forensic Medicine 182
- Genetics 90
Countries citing papers authored by Stella Kim
This map shows the geographic impact of Stella 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 Stella Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stella Kim more than expected).
Fields of papers citing papers by Stella Kim
This network shows the impact of papers produced by Stella 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 Stella Kim. The network helps show where Stella Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Stella 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 214 | |
| 2 | 2012 | 140 | |
| 3 | 2007 | 94 | |
| 4 | 2005 | 76 | |
| 5 | 2009 | 63 | |
| 6 | 2009 | 59 | |
| 7 | 2015 | 40 | |
| 8 | 1995 | 39 | |
| 9 | 2021 | 39 | |
| 10 | 2015 | 38 | |
| 11 | 2002 | 34 | |
| 12 | 2009 | 29 | |
| 13 | 2002 | 28 | |
| 14 | 2014 | 27 | |
| 15 | 2014 | 24 | |
| 16 | 2021 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2014 | 16 | |
| 19 | 2019 | 10 | |
| 20 | 2025 | 9 |
About Stella Kim
Stella Kim is a scholar working on Education, Management Science and Operations Research, Developmental and Educational Psychology, Computer Networks and Communications and Pathology and Forensic Medicine, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Online and Blended Learning (11 papers), Psychometric Methodologies and Testing (11 papers), Advanced Statistical Modeling Techniques (8 papers), Innovative Teaching and Learning Methods (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Disability Education and Employment (4 papers), CAR-T cell therapy research (4 papers) and Educational and Psychological Assessments (3 papers). The work is most often cited by research in Hematology (217 citations), Oncology (347 citations), Ophthalmology (106 citations), Pathology and Forensic Medicine (182 citations) and Genetics (90 citations). Stella Kim has collaborated with scholars based in United States, South Korea and Macao. Frequent co-authors include Bita Esmaeli, Merrick I. Ross, Víctor G. Prieto, Michelle A. Fanale, Viet H. Ho, Aisha Khaleeq, Alberto Esquenazi, Demet Ofluoğlu, Jorge Romaguera and Anas Younes. Their work appears in journals such as Blood, Educational Measurement Issues and Practice, Journal of Educational Measurement, Online Learning and Educational and Psychological Measurement.
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.