Kristy Choi
- Immunology top 5%
- Biophysics top 2%
- Cancer Research top 5%
- Oncology top 5%
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics 2
- Gene Regulatory Network Analysis 1
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- Geographic Information Systems Studies 1
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- CCD and CMOS Imaging Sensors 1
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- Speech and Audio Processing 1
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- Disaster Management and Resilience 1
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- Generative Adversarial Networks and Image Synthesis 1
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- Neural Networks and Applications 1
- Co-authors
- Dana Pe’erManu SettyAlexander Y. RudenskyVaidotas KiseliovasPeter T. McKenneyLinas MažutisAndrew CornishRuby Wasti
- Cited by
- ImmunologyBiophysicsCancer Research
- Journals
- Cell (1 paper)Nature Biotechnology (1 paper)ACM Transactions on Embedded Computing Systems (1 paper)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Kristy Choi
8 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Immunology 765
- Biophysics 159
- Cancer Research 360
- Oncology 647
- Molecular Biology 1000
Countries citing papers authored by Kristy Choi
This map shows the geographic impact of Kristy Choi'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 Kristy Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristy Choi more than expected).
Fields of papers citing papers by Kristy Choi
This network shows the impact of papers produced by Kristy Choi. 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 Kristy Choi. The network helps show where Kristy Choi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kristy Choi, 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 | 2023 | 2 | |
| 2 | Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messagesbreakdown → | 2023 | 85 |
| 3 | 2022 | 38 | |
| 4 | 2020 | 6 | |
| 5 | Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironmentbreakdown → | 2018 | 1250 |
| 6 | 2018 | 14 | |
| 7 | NECST: Neural Joint Source-Channel Coding. | 2018 | 19 |
| 8 | Wishbone identifies bifurcating developmental trajectories from single-cell databreakdown → | 2016 | 384 |
About Kristy Choi
Kristy Choi is a scholar working on Computer Vision and Pattern Recognition, Geography, Planning and Development and Biophysics, having authored 8 papers that have together received 1.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Geographic Information Systems Studies (1 paper), CCD and CMOS Imaging Sensors (1 paper), Speech and Audio Processing (1 paper), Disaster Management and Resilience (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), Neural Networks and Applications (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Immunology (765 citations), Biophysics (159 citations) and Cancer Research (360 citations). Kristy Choi has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Dana Pe’er, Manu Setty, Alexander Y. Rudensky, Vaidotas Kiseliovas, Peter T. McKenney, Linas Mažutis, Andrew Cornish, Ruby Wasti, Krishna Kadaveru and Ambrose Carr. Their work appears in journals such as Cell, Nature Biotechnology and ACM Transactions on Embedded Computing Systems.
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.