Yan Kim
Impact in
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- Palliative Care and End-of-Life Issues
- Patient Dignity and Privacy
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- Family and Patient Care in Intensive Care Units
Papers in
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- Logic, Reasoning, and Knowledge 2
- Machine Learning in Healthcare 1
- Co-authors
- А. Yu. Lupatov (5 shared papers)K. N. Yarygin (5 shared papers)Karl Lorenz (2 shared papers)Joy R. Goebel (1 shared paper)Sydney M. Dy (1 shared paper)Daniella Meeker (1 shared paper)Elizabeth Dzeng (1 shared paper)Adam Singer (1 shared paper)
- Journals
- International Journal of Molecular Sciences (4 papers)Biology (1 paper)Autonomous Agents and Multi-Agent Systems (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Cancer Biomarkers (1 paper)
- Partner nations
- RussiaUnited StatesLuxembourg
In The Last Decade
Yan Kim
15 papers receiving 303 citations
Peers
Comparison fields: 5 of 79
- Public Health, Environmental and Occupational Health 116
- Radiological and Ultrasound Technology 17
- Geriatrics and Gerontology 7
- Oncology 46
- Cancer Research 22
Countries citing papers authored by Yan Kim
This map shows the geographic impact of Yan 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 Yan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Kim more than expected).
Fields of papers citing papers by Yan Kim
This network shows the impact of papers produced by Yan 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 Yan Kim. The network helps show where Yan Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 | 2016 | 138 | |
| 2 | 2022 | 45 | |
| 3 | 2016 | 34 | |
| 4 | 2021 | 19 | |
| 5 | 2023 | 16 | |
| 6 | 2016 | 14 | |
| 7 | 2015 | 10 | |
| 8 | 2022 | 8 | |
| 9 | 2006 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2015 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2021 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2023 | 0 |
About Yan Kim
Yan Kim is a scholar working on Artificial Intelligence, Molecular Biology, Oncology, Computational Theory and Mathematics and Genetics, having authored 16 papers that have together received 314 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Formal Methods in Verification (3 papers), Emergency and Acute Care Studies (2 papers), Logic, Reasoning, and Knowledge (2 papers), Palliative Care and End-of-Life Issues (2 papers), Model-Driven Software Engineering Techniques (1 paper), Liver physiology and pathology (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (116 citations), Radiological and Ultrasound Technology (17 citations), Geriatrics and Gerontology (7 citations), Oncology (46 citations) and Cancer Research (22 citations). Yan Kim has collaborated with scholars based in Russia, United States and Luxembourg. Frequent co-authors include А. Yu. Lupatov, K. N. Yarygin, Karl Lorenz, Joy R. Goebel, Sydney M. Dy, Daniella Meeker, Elizabeth Dzeng, Adam Singer, Aneesa Motala and Anne M. Walling. Their work appears in journals such as International Journal of Molecular Sciences, Biology, Autonomous Agents and Multi-Agent Systems, The Journal of Clinical Endocrinology & Metabolism and Cancer Biomarkers.
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.