Ellen Kim
Impact in
- Health Informatics top 5%
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Oncology 12
- CAR-T cell therapy research 4
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- Meningioma and schwannoma management 4
- Co-authors
- Charles R. Thomas (3 shared papers)Armin Giese (1 shared paper)Santosh Kesari (1 shared paper)Sandra Pastorino (1 shared paper)Brit Mollenhauer (1 shared paper)Nadiya M. Teplyuk (1 shared paper)Anna M. Krichevsky (1 shared paper)Marlon Garzo Saria (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (3 papers)Blood (3 papers)Journal of Thoracic Oncology (2 papers)American Journal of Obstetrics and Gynecology (2 papers)Nano Convergence (2 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Ellen Kim
44 papers receiving 782 citations
Peers
Comparison fields: 5 of 110
- Health Informatics 27
- Cancer Research 213
- Health Information Management 36
- Genetics 65
- Pathology and Forensic Medicine 79
Countries citing papers authored by Ellen Kim
This map shows the geographic impact of Ellen 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 Ellen Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen Kim more than expected).
Fields of papers citing papers by Ellen Kim
This network shows the impact of papers produced by Ellen 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 Ellen Kim. The network helps show where Ellen Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Ellen 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 248 | |
| 2 | 2019 | 93 | |
| 3 | 2015 | 67 | |
| 4 | 2019 | 34 | |
| 5 | 2015 | 28 | |
| 6 | 2017 | 26 | |
| 7 | 2015 | 24 | |
| 8 | 2014 | 24 | |
| 9 | 2016 | 23 | |
| 10 | 2015 | 22 | |
| 11 | 2020 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2016 | 15 | |
| 14 | 2012 | 15 | |
| 15 | 2016 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2017 | 11 | |
| 20 | 2017 | 9 |
About Ellen Kim
Ellen Kim is a scholar working on Oncology, Epidemiology, Surgery, Molecular Biology and Dermatology, having authored 52 papers that have together received 796 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (7 papers), Electronic Health Records Systems (5 papers), Artificial Intelligence in Healthcare and Education (5 papers), Meningioma and schwannoma management (4 papers), CAR-T cell therapy research (4 papers), Advanced Radiotherapy Techniques (4 papers), Health Sciences Research and Education (3 papers) and Emergency and Acute Care Studies (3 papers). The work is most often cited by research in Health Informatics (27 citations), Cancer Research (213 citations), Health Information Management (36 citations), Genetics (65 citations) and Pathology and Forensic Medicine (79 citations). Ellen Kim has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Charles R. Thomas, Armin Giese, Santosh Kesari, Sandra Pastorino, Brit Mollenhauer, Nadiya M. Teplyuk, Anna M. Krichevsky, Marlon Garzo Saria, Jerry J. Jaboin and Peter Gabriel. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Blood, Journal of Thoracic Oncology, American Journal of Obstetrics and Gynecology and Nano Convergence.
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.