Emily Kim
Impact in
- Genetics top 10%
- Genetic and Kidney Cyst Diseases
- Genetic Syndromes and Imprinting
Papers in
- Oncology 13
- Cutaneous Melanoma Detection and Management 4
- Polyomavirus and related diseases 4
- Cancer Immunotherapy and Biomarkers 3
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- Nonmelanoma Skin Cancer Studies 5
- Co-authors
- Gerd Walz (2 shared papers)Thomas Benzing (1 shared paper)Thierry Arnould (1 shared paper)Lorenz Sellin (1 shared paper)Sergei Y. Sokol (1 shared paper)W Grüning (1 shared paper)Iain A. Drummond (1 shared paper)Stefan Zschiedrich (3 shared papers)
- Journals
- Archives of Dermatological Research (3 papers)Journal of Clinical Oncology (2 papers)Journal of Applied Physiology (2 papers)Behavioral Neuroscience (2 papers)JACC CardioOncology (1 paper)
- Partner nations
- United StatesBrazilGermany
In The Last Decade
Emily Kim
40 papers receiving 686 citations
Peers
Comparison fields: 5 of 100
- Genetics 217
- Biological Psychiatry 17
- Endocrine and Autonomic Systems 38
- Pathology and Forensic Medicine 79
- Molecular Biology 246
Countries citing papers authored by Emily Kim
This map shows the geographic impact of Emily 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 Emily Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Kim more than expected).
Fields of papers citing papers by Emily Kim
This network shows the impact of papers produced by Emily 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 Emily Kim. The network helps show where Emily Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Emily 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 232 | |
| 2 | 2010 | 97 | |
| 3 | 2018 | 41 | |
| 4 | 2014 | 36 | |
| 5 | 2023 | 35 | |
| 6 | 2021 | 21 | |
| 7 | 2017 | 21 | |
| 8 | 2016 | 17 | |
| 9 | 2015 | 16 | |
| 10 | 2019 | 15 | |
| 11 | 2019 | 15 | |
| 12 | 2021 | 14 | |
| 13 | 2014 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2017 | 11 | |
| 16 | 2024 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2014 | 7 | |
| 20 | 2023 | 6 |
About Emily Kim
Emily Kim is a scholar working on Oncology, Epidemiology, Dermatology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 53 papers that have together received 700 indexed citations. Recurring topics across this work include Nonmelanoma Skin Cancer Studies (5 papers), Cutaneous Melanoma Detection and Management (4 papers), Polyomavirus and related diseases (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Full-Duplex Wireless Communications (3 papers), Antenna Design and Analysis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Genetics (217 citations), Biological Psychiatry (17 citations), Endocrine and Autonomic Systems (38 citations), Pathology and Forensic Medicine (79 citations) and Molecular Biology (246 citations). Emily Kim has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Gerd Walz, Thomas Benzing, Thierry Arnould, Lorenz Sellin, Sergei Y. Sokol, W Grüning, Iain A. Drummond, Stefan Zschiedrich, Nathan Kuppermann and Diane C Lim. Their work appears in journals such as Archives of Dermatological Research, Journal of Clinical Oncology, Journal of Applied Physiology, Behavioral Neuroscience and JACC CardioOncology.
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.