Sofie Van Gassen
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immunotherapy and Immune Responses
Papers in
-
- Single-cell and spatial transcriptomics 17
- Gene expression and cancer classification 4
- Biophysics 10
- Cell Image Analysis Techniques 10
- Advanced Fluorescence Microscopy Techniques 3
- Co-authors
- Yvan Saeys (26 shared papers)Bart N. Lambrecht (8 shared papers)Tom Dhaene (2 shared papers)Piet Demeester (1 shared paper)Mary J. van Helden (1 shared paper)Katrien Quintelier (8 shared papers)Annelies Emmaneel (6 shared papers)Damya Laoui (1 shared paper)
- Journals
- Cytometry Part A (7 papers)Blood (2 papers)Bioinformatics (2 papers)Frontiers in Immunology (2 papers)Nature reviews. Immunology (2 papers)
- Partner nations
- BelgiumNetherlandsUnited States
In The Last Decade
Sofie Van Gassen
29 papers receiving 2.1k citations
Sofie Van Gassen's Hit Papers
Peers
Comparison fields: 5 of 119
- Biophysics 336
- Immunology 830
- Hematology 159
- Molecular Biology 946
- Oncology 307
Countries citing papers authored by Sofie Van Gassen
This map shows the geographic impact of Sofie Van Gassen'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 Sofie Van Gassen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofie Van Gassen more than expected).
Fields of papers citing papers by Sofie Van Gassen
This network shows the impact of papers produced by Sofie Van Gassen. 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 Sofie Van Gassen. The network helps show where Sofie Van Gassen may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofie Van Gassen, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data Hit paper breakdown → | 2015 | 1084 |
| 2 | 2016 | 321 | |
| 3 | 2018 | 121 | |
| 4 | 2019 | 109 | |
| 5 | 2021 | 94 | |
| 6 | 2021 | 54 | |
| 7 | 2021 | 52 | |
| 8 | 2019 | 33 | |
| 9 | 2015 | 27 | |
| 10 | 2021 | 23 | |
| 11 | 2019 | 19 | |
| 12 | 2022 | 18 | |
| 13 | 2018 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2023 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2022 | 8 |
About Sofie Van Gassen
Sofie Van Gassen is a scholar working on Molecular Biology, Biophysics, Immunology, Hematology and Genetics, having authored 31 papers that have together received 2.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (17 papers), Cell Image Analysis Techniques (10 papers), Immune Cell Function and Interaction (5 papers), Gene expression and cancer classification (4 papers), T-cell and B-cell Immunology (4 papers), Acute Myeloid Leukemia Research (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Biophysics (336 citations), Immunology (830 citations), Hematology (159 citations), Molecular Biology (946 citations) and Oncology (307 citations). Sofie Van Gassen has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Yvan Saeys, Bart N. Lambrecht, Tom Dhaene, Piet Demeester, Mary J. van Helden, Katrien Quintelier, Annelies Emmaneel, Damya Laoui, Kiavash Movahedi and Máté Kiss. Their work appears in journals such as Cytometry Part A, Blood, Bioinformatics, Frontiers in Immunology and Nature reviews. Immunology.
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.