Charissa Kim
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cancer-related Molecular Pathways
Papers in
-
- Single-cell and spatial transcriptomics 3
- Oncology 4
- Lymphatic System and Diseases 2
- Co-authors
- Nicholas E. Navin (3 shared papers)Ruli Gao (3 shared papers)Emi Sei (3 shared papers)Theodoros Foukakis (2 shared papers)Nicola Crosetto (2 shared papers)Rachel Brandt (1 shared paper)Johan Hartman (1 shared paper)Thomas Hatschek (1 shared paper)
- Journals
- Clinical Lung Cancer (2 papers)Nature Communications (1 paper)Journal of Personalized Medicine (1 paper)Journal of Neuroscience (1 paper)Cell (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Charissa Kim
17 papers receiving 1.1k citations
Charissa Kim's Hit Papers
Peers
Comparison fields: 5 of 89
- Cancer Research 427
- Oncology 375
- Molecular Biology 570
- Behavioral Neuroscience 26
- Biophysics 32
Countries citing papers authored by Charissa Kim
This map shows the geographic impact of Charissa 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 Charissa Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charissa Kim more than expected).
Fields of papers citing papers by Charissa Kim
This network shows the impact of papers produced by Charissa 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 Charissa Kim. The network helps show where Charissa Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Charissa 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 | Chemoresistance Evolution in Triple-Negative Breast Cancer Delineated by Single-Cell Sequencing Hit paper breakdown → | 2018 | 713 |
| 2 | 2017 | 86 | |
| 3 | 2018 | 49 | |
| 4 | 2013 | 48 | |
| 5 | 2017 | 47 | |
| 6 | 2016 | 36 | |
| 7 | 2016 | 35 | |
| 8 | 2015 | 31 | |
| 9 | 2011 | 30 | |
| 10 | 2020 | 10 | |
| 11 | 2016 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2018 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2016 | 1 |
About Charissa Kim
Charissa Kim is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Single-cell and spatial transcriptomics (3 papers), Memory and Neural Mechanisms (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Neuroendocrine regulation and behavior (2 papers), Lymphatic System and Diseases (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Cancer Research (427 citations), Oncology (375 citations), Molecular Biology (570 citations), Behavioral Neuroscience (26 citations) and Biophysics (32 citations). Charissa Kim has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Nicholas E. Navin, Ruli Gao, Emi Sei, Theodoros Foukakis, Nicola Crosetto, Rachel Brandt, Johan Hartman, Thomas Hatschek, Funda Meric‐Bernstam and Victor A. Cazares. Their work appears in journals such as Clinical Lung Cancer, Nature Communications, Journal of Personalized Medicine, Journal of Neuroscience and Cell.
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.