Charissa Kim

1.7k total citations · 1 hit paper
17 papers, 1.1k citations indexed

About

Charissa Kim is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Charissa Kim has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Charissa Kim's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Single-cell and spatial transcriptomics (3 papers) and Memory and Neural Mechanisms (3 papers). Charissa Kim is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Single-cell and spatial transcriptomics (3 papers) and Memory and Neural Mechanisms (3 papers). Charissa Kim collaborates with scholars based in United States, United Kingdom and Sweden. Charissa Kim's co-authors include Ruli Gao, Emi Sei, Nicholas E. Navin, Nicola Crosetto, Theodoros Foukakis, Johan Hartman, Thomas Hatschek, Rachel Brandt, Funda Meric‐Bernstam and Victor A. Cazares and has published in prestigious journals such as Cell, Nature Communications and Journal of Neuroscience.

In The Last Decade

Charissa Kim

17 papers receiving 1.1k citations

Hit Papers

Chemoresistance Evolution in Triple-Negative Breast Cance... 2018 2026 2020 2023 2018 200 400 600

Peers

Charissa Kim
Comparison fields: 5 of 97
  • Molecular Biology 610
  • Cancer Research 475
  • Oncology 427
  • Pulmonary and Respiratory Medicine 152
  • Immunology 95
Replace Doo‐Yi Oh with:
Doo‐Yi Oh South Korea
Lesang Shen China
Sreenivasa R Chandana United States
Muhamed Baljević United States
Ralph Schulz United States
Timothy Van Meter United States
Scott M. Haake United States
Göran Hesselager Sweden
Sarah Seton-Rogers United States
Vanessa Vogel Germany
Doo‐Yi Oh South Korea View profile →
Citations per field, relative to Charissa Kim
Charissa Kim · 1×
Citations per year, relative to Charissa Kim
Charissa Kim · 1×

Countries citing papers authored by Charissa Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Charissa Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Charissa Kim. A scholar is included among the top collaborators of Charissa Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charissa Kim. Charissa Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 1
2 3
3 2
4 8
5 3
6 5
7 45
8
Chemoresistance Evolution in Triple-Negative Breast Cancer Delineated by Single-Cell Sequencing breakdown →
699
9 46
10 84
11 36
12 34
13 8
14 1
15 31
16 47
17 29

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.

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2026