Sofie Gielis

589 total citations
9 papers, 301 citations indexed

About

Sofie Gielis is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Sofie Gielis has authored 9 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Immunology and 2 papers in Oncology. Recurrent topics in Sofie Gielis's work include vaccines and immunoinformatics approaches (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Sofie Gielis is often cited by papers focused on vaccines and immunoinformatics approaches (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Sofie Gielis collaborates with scholars based in Belgium, United States and Norway. Sofie Gielis's co-authors include Pieter Meysman, Kris Laukens, Benson Ogunjimi, Nicolas De Neuter, Pieter Moris, Wout Bittremieux, Sara Verbandt, Wim Adriaensen, Bart Cuypers and Esther Bartholomeus and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Sofie Gielis

8 papers receiving 294 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sofie Gielis Belgium 5 232 194 89 51 24 9 301
Nicolas De Neuter Belgium 8 285 1.2× 240 1.2× 99 1.1× 51 1.0× 43 1.8× 12 382
Austin Crinklaw United States 4 212 0.9× 182 0.9× 70 0.8× 55 1.1× 18 0.8× 6 311
Giancarlo Croce Switzerland 8 211 0.9× 131 0.7× 77 0.9× 74 1.5× 51 2.1× 11 290
Emilio Fenoy Argentina 5 217 0.9× 119 0.6× 55 0.6× 49 1.0× 15 0.6× 8 254
Maria Bonsack Germany 6 391 1.7× 351 1.8× 174 2.0× 149 2.9× 29 1.2× 8 497
Elena Tondini Netherlands 10 152 0.7× 226 1.2× 36 0.4× 93 1.8× 21 0.9× 12 308
Peter S. Andersen Denmark 9 224 1.0× 170 0.9× 246 2.8× 38 0.7× 21 0.9× 9 392
Clément Cocita United Kingdom 6 137 0.6× 214 1.1× 46 0.5× 65 1.3× 22 0.9× 10 286
L. Mitchell United Kingdom 5 302 1.3× 65 0.3× 288 3.2× 27 0.5× 14 0.6× 15 390
Milena Pavlović Norway 8 189 0.8× 114 0.6× 145 1.6× 16 0.3× 15 0.6× 13 275

Countries citing papers authored by Sofie Gielis

Since Specialization
Citations

This map shows the geographic impact of Sofie Gielis'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 Gielis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofie Gielis more than expected).

Fields of papers citing papers by Sofie Gielis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofie Gielis. 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 Gielis. The network helps show where Sofie Gielis may publish in the future.

Co-authorship network of co-authors of Sofie Gielis

This figure shows the co-authorship network connecting the top 25 collaborators of Sofie Gielis. A scholar is included among the top collaborators of Sofie Gielis 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 Sofie Gielis. Sofie Gielis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Chernigovskaya, Maria, Milena Pavlović, Chakravarthi Kanduri, et al.. (2025). Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning. Nucleic Acids Research. 53(3).
2.
Gielis, Sofie, Hans De Reu, Esther Bartholomeus, et al.. (2024). Analysis of Wilms’ tumor protein 1 specific TCR repertoire in AML patients uncovers higher diversity in patients in remission than in relapsed. Annals of Hematology. 104(1). 317–333. 4 indexed citations
3.
Gielis, Sofie, Esther Bartholomeus, Diana Campillo-Davó, et al.. (2023). Training of epitope-TCR prediction models with healthy donor-derived cancer-specific T cells. Methods in cell biology. 183. 143–160. 1 indexed citations
4.
Gielis, Sofie, et al.. (2022). Recent advances in T-cell receptor repertoire analysis: Bridging the gap with multimodal single-cell RNA sequencing. SHILAP Revista de lepidopterología. 5. 100009–100009. 30 indexed citations
5.
6.
Moris, Pieter, Sofie Gielis, Nicolas De Neuter, et al.. (2020). Current challenges for unseen-epitope TCR interaction prediction and a new perspective derived from image classification. Briefings in Bioinformatics. 22(4). 97 indexed citations
7.
Gielis, Sofie, Pieter Moris, Wout Bittremieux, et al.. (2020). Identification of Epitope-Specific T Cells in T-Cell Receptor Repertoires. Methods in molecular biology. 2120. 183–195. 3 indexed citations
8.
Gielis, Sofie, Pieter Moris, Wout Bittremieux, et al.. (2019). Detection of Enriched T Cell Epitope Specificity in Full T Cell Receptor Sequence Repertoires. Frontiers in Immunology. 10. 2820–2820. 118 indexed citations
9.
Meysman, Pieter, et al.. (2018). On the viability of unsupervised T-cell receptor sequence clustering for epitope preference. Bioinformatics. 35(9). 1461–1468. 42 indexed citations

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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