Julien Racle

5.1k total citations · 1 hit paper
26 papers, 2.1k citations indexed

About

Julien Racle is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Julien Racle has authored 26 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Immunology and 6 papers in Oncology. Recurrent topics in Julien Racle's work include vaccines and immunoinformatics approaches (13 papers), Immunotherapy and Immune Responses (13 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Julien Racle is often cited by papers focused on vaccines and immunoinformatics approaches (13 papers), Immunotherapy and Immune Responses (13 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Julien Racle collaborates with scholars based in Switzerland, France and United States. Julien Racle's co-authors include David Gfeller, Daniel E. Speiser, Kaat de Jonge, Petra Baumgaertner, Michal Bassani‐Sternberg, George Coukos, Justine Michaux, Philippe Guillaume, Alexandre Harari and HuiSong Pak and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and The Journal of Chemical Physics.

In The Last Decade

Julien Racle

25 papers receiving 2.1k citations

Hit Papers

Simultaneous enumeration of cancer and immune cell types ... 2017 2026 2020 2023 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julien Racle Switzerland 17 1.4k 1.0k 779 437 401 26 2.1k
Akash Patnaik United States 21 900 0.7× 539 0.5× 992 1.3× 811 1.9× 353 0.9× 77 2.3k
Jasreet Hundal United States 13 1.3k 1.0× 2.1k 2.0× 2.0k 2.5× 250 0.6× 350 0.9× 21 3.1k
Viia Valge-Archer United Kingdom 19 1.1k 0.8× 1.2k 1.1× 1.0k 1.3× 130 0.3× 373 0.9× 27 2.4k
Jennifer M. Specht United States 27 685 0.5× 469 0.5× 1.1k 1.4× 475 1.1× 534 1.3× 106 2.4k
Cara Haymaker United States 27 605 0.4× 1.4k 1.4× 1.6k 2.1× 313 0.7× 246 0.6× 130 2.5k
Douglas C. Saffran United States 17 890 0.7× 1.9k 1.8× 509 0.7× 329 0.8× 209 0.5× 33 3.2k
Zhongxing Liang United States 21 1.1k 0.8× 808 0.8× 1.3k 1.6× 112 0.3× 645 1.6× 46 2.6k
Veronica Steri United States 17 796 0.6× 705 0.7× 827 1.1× 205 0.5× 215 0.5× 34 1.8k
David A. Braun United States 20 878 0.6× 445 0.4× 1.1k 1.4× 942 2.2× 587 1.5× 92 2.0k

Countries citing papers authored by Julien Racle

Since Specialization
Citations

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

Fields of papers citing papers by Julien Racle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Racle

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

All Works

20 of 20 papers shown
1.
Chevalier, Mathieu F., Vincent Allain, Julien Gras, et al.. (2025). Donor HLA-DQ genetic and functional divergence affect the control of BK polyoma virus infection after kidney transplantation. Science Advances. 11(10). eadt3499–eadt3499. 1 indexed citations
2.
Racle, Julien, et al.. (2025). Predicting MHC-I ligands across alleles and species: how far can we go?. Genome Medicine. 17(1). 25–25. 3 indexed citations
3.
Racle, Julien & David Gfeller. (2024). How to Predict Binding Specificity and Ligands for New MHC-II Alleles with MixMHC2pred. Methods in molecular biology. 2809. 215–235. 4 indexed citations
5.
Racle, Julien, Philippe Guillaume, Julien Schmidt, et al.. (2023). Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopes. Immunity. 56(6). 1359–1375.e13. 65 indexed citations
6.
Gfeller, David, Yan Liu, & Julien Racle. (2023). Contemplating immunopeptidomes to better predict them. Seminars in Immunology. 66. 101708–101708. 15 indexed citations
7.
Schmidt, Julien, Angela R. Smith, Julien Racle, et al.. (2021). Prediction of neo-epitope immunogenicity reveals TCR recognition determinants and provides insight into immunoediting. Cell Reports Medicine. 2(2). 100194–100194. 101 indexed citations
8.
Newey, Alice, B Griffiths, Justine Michaux, et al.. (2019). Immunopeptidomics of colorectal cancer organoids reveals a sparse HLA class I neoantigen landscape and no increase in neoantigens with interferon or MEK-inhibitor treatment. Journal for ImmunoTherapy of Cancer. 7(1). 309–309. 91 indexed citations
9.
Guillaume, Philippe, Julien Racle, Justine Michaux, et al.. (2019). Mass Spectrometry Based Immunopeptidomics Leads to Robust Predictions of Phosphorylated HLA Class I Ligands. Molecular & Cellular Proteomics. 19(2). 390–404. 42 indexed citations
10.
Racle, Julien, Justine Michaux, Marion Arnaud, et al.. (2019). Robust prediction of HLA class II epitopes by deep motif deconvolution of immunopeptidomes. Nature Biotechnology. 37(11). 1283–1286. 200 indexed citations
12.
Gfeller, David, Philippe Guillaume, Justine Michaux, et al.. (2018). The Length Distribution and Multiple Specificity of Naturally Presented HLA-I Ligands. The Journal of Immunology. 201(12). 3705–3716. 110 indexed citations
13.
Chong, Chloé, Fabio Marino, HuiSong Pak, et al.. (2017). High-throughput and Sensitive Immunopeptidomics Platform Reveals Profound Interferonγ-Mediated Remodeling of the Human Leukocyte Antigen (HLA) Ligandome. Molecular & Cellular Proteomics. 17(3). 533–548. 129 indexed citations
14.
Chevalier, Mathieu F., Sara Trabanelli, Julien Racle, et al.. (2017). ILC2-modulated T cell–to-MDSC balance is associated with bladder cancer recurrence. Journal of Clinical Investigation. 127(8). 2916–2929. 172 indexed citations
15.
Racle, Julien, Kaat de Jonge, Petra Baumgaertner, Daniel E. Speiser, & David Gfeller. (2017). Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data. eLife. 6. 880 indexed citations breakdown →
16.
Racle, Julien, et al.. (2016). Analysis of Translation Elongation Dynamics in the Context of an Escherichia coli Cell. Biophysical Journal. 110(9). 2120–2131. 15 indexed citations
17.
Fierro-Monti, Ivo, Julien Racle, Céline Hernandez, et al.. (2013). A Novel Pulse-Chase SILAC Strategy Measures Changes in Protein Decay and Synthesis Rates Induced by Perturbation of Proteostasis with an Hsp90 Inhibitor. PLoS ONE. 8(11). e80423–e80423. 36 indexed citations
18.
Racle, Julien, et al.. (2013). A Genome-Scale Integration and Analysis of Lactococcus lactis Translation Data. PLoS Computational Biology. 9(10). e1003240–e1003240. 18 indexed citations
19.
Fierro-Monti, Ivo, Pablo C. Echeverría, Julien Racle, et al.. (2013). Dynamic Impacts of the Inhibition of the Molecular Chaperone Hsp90 on the T-Cell Proteome Have Implications for Anti-Cancer Therapy. PLoS ONE. 8(11). e80425–e80425. 32 indexed citations
20.
Racle, Julien, et al.. (2012). A computational framework for the design of optimal protein synthesis. Biotechnology and Bioengineering. 109(8). 2127–2133. 20 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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