Vicky Chen
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immunotherapy and Immune Responses
Papers in
-
- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 3
- Biomedical Text Mining and Ontologies 1
-
- Cancer Genomics and Diagnostics 3
- Co-authors
- Xinghua Lu (8 shared papers)Lujia Chen (4 shared papers)Chunhui Cai (4 shared papers)David A. Stevens (3 shared papers)Karl V. Clemons (3 shared papers)Songjian Lu (4 shared papers)Marife Martinez (3 shared papers)Min Liu (2 shared papers)
- Journals
- BMC Bioinformatics (2 papers)JCI Insight (1 paper)Science Translational Medicine (1 paper)Journal of Medical Microbiology (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesChinaTürkiye
In The Last Decade
Vicky Chen
20 papers receiving 708 citations
Peers
Comparison fields: 5 of 75
- Immunology 185
- Health Informatics 11
- Oncology 91
- Molecular Biology 246
- Nephrology 35
Countries citing papers authored by Vicky Chen
This map shows the geographic impact of Vicky Chen'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 Vicky Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vicky Chen more than expected).
Fields of papers citing papers by Vicky Chen
This network shows the impact of papers produced by Vicky Chen. 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 Vicky Chen. The network helps show where Vicky Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Vicky Chen, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 325 | |
| 2 | 2020 | 78 | |
| 3 | 2016 | 74 | |
| 4 | 2021 | 40 | |
| 5 | 2019 | 31 | |
| 6 | 2011 | 30 | |
| 7 | 2015 | 28 | |
| 8 | 2019 | 22 | |
| 9 | 2023 | 21 | |
| 10 | 2021 | 18 | |
| 11 | 2014 | 14 | |
| 12 | 2013 | 12 | |
| 13 | 2017 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2013 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2016 | 3 | |
| 18 | Mapping annotations with textual evidence using an scLDA model. | 2011 | 2 |
| 19 | 2017 | 1 | |
| 20 | 2025 | 1 |
About Vicky Chen
Vicky Chen is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Immunology and Genetics, having authored 21 papers that have together received 722 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (3 papers), Cancer Genomics and Diagnostics (3 papers), Antifungal resistance and susceptibility (2 papers), Biomedical Text Mining and Ontologies (1 paper), Immune cells in cancer (1 paper), Renal Diseases and Glomerulopathies (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Immunology (185 citations), Health Informatics (11 citations), Oncology (91 citations), Molecular Biology (246 citations) and Nephrology (35 citations). Vicky Chen has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Xinghua Lu, Lujia Chen, Chunhui Cai, David A. Stevens, Karl V. Clemons, Songjian Lu, Marife Martinez, Min Liu, Lifan Liang and Xiao-Nan Fan. Their work appears in journals such as BMC Bioinformatics, JCI Insight, Science Translational Medicine, Journal of Medical Microbiology and Molecular Cancer Therapeutics.
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.