Chloé Chong
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- vaccines and immunoinformatics approaches 9
- Advanced biosensing and bioanalysis techniques 2
- Oncology 9
- Lymphatic System and Diseases 3
- Peptidase Inhibition and Analysis 3
- Co-authors
- Michal Bassani‐Sternberg (11 shared papers)George Coukos (9 shared papers)David Gfeller (4 shared papers)HuiSong Pak (4 shared papers)Philippe Guillaume (2 shared papers)Justine Michaux (4 shared papers)Markus Müller (4 shared papers)Julien Racle (2 shared papers)
- Journals
- Molecular & Cellular Proteomics (3 papers)Nature Biotechnology (2 papers)Scientific Reports (1 paper)Frontiers in Oncology (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Chloé Chong
16 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 67
- Immunology 630
- Oncology 474
- Radiology, Nuclear Medicine and Imaging 262
- Molecular Biology 774
- Spectroscopy 82
Countries citing papers authored by Chloé Chong
This map shows the geographic impact of Chloé Chong'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 Chloé Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chloé Chong more than expected).
Fields of papers citing papers by Chloé Chong
This network shows the impact of papers produced by Chloé Chong. 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 Chloé Chong. The network helps show where Chloé Chong may publish in the future.
Co-authors
The 25 scholars most cited alongside Chloé Chong, 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 | 2019 | 200 | |
| 2 | 2017 | 177 | |
| 3 | 2021 | 144 | |
| 4 | 2017 | 129 | |
| 5 | 2018 | 74 | |
| 6 | 2021 | 61 | |
| 7 | 2017 | 55 | |
| 8 | 2023 | 48 | |
| 9 | 2019 | 48 | |
| 10 | 2016 | 34 | |
| 11 | 2016 | 24 | |
| 12 | 2019 | 23 | |
| 13 | 2016 | 16 | |
| 14 | 2022 | 11 | |
| 15 | 2021 | 2 | |
| 16 | 2019 | 1 |
About Chloé Chong
Chloé Chong is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (9 papers), Immunotherapy and Immune Responses (7 papers), Lymphatic System and Diseases (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Genetic factors in colorectal cancer (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Immunology (630 citations), Oncology (474 citations), Radiology, Nuclear Medicine and Imaging (262 citations), Molecular Biology (774 citations) and Spectroscopy (82 citations). Chloé Chong has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Michal Bassani‐Sternberg, George Coukos, David Gfeller, HuiSong Pak, Philippe Guillaume, Justine Michaux, Markus Müller, Julien Racle, Philippe O. Gannon and Fabio Marino. Their work appears in journals such as Molecular & Cellular Proteomics, Nature Biotechnology, Scientific Reports, Frontiers in Oncology and PLoS Computational Biology.
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.