Johanna Chiffelle

1.0k total citations
9 papers, 234 citations indexed

About

Johanna Chiffelle is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Johanna Chiffelle has authored 9 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Oncology. Recurrent topics in Johanna Chiffelle's work include CAR-T cell therapy research (5 papers), vaccines and immunoinformatics approaches (3 papers) and T-cell and B-cell Immunology (3 papers). Johanna Chiffelle is often cited by papers focused on CAR-T cell therapy research (5 papers), vaccines and immunoinformatics approaches (3 papers) and T-cell and B-cell Immunology (3 papers). Johanna Chiffelle collaborates with scholars based in Switzerland and Greece. Johanna Chiffelle's co-authors include Alexandre Harari, George Coukos, Marta A. S. Perez, Vincent Zoete, Raphaël Genolet, Marion Arnaud, Michal Bassani‐Sternberg, Aymeric Auger, Sara Bobisse and Nadine Zangger and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and Immunity.

In The Last Decade

Johanna Chiffelle

8 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johanna Chiffelle Switzerland 6 143 110 102 26 24 9 234
Marcela Haro United States 10 127 0.9× 75 0.7× 80 0.8× 35 1.3× 13 0.5× 13 228
Paul Shafer United States 5 153 1.1× 200 1.8× 85 0.8× 18 0.7× 19 0.8× 8 290
Alfie T. Baker United Kingdom 8 214 1.5× 118 1.1× 63 0.6× 13 0.5× 18 0.8× 10 302
Floriana Cremasco Switzerland 4 181 1.3× 67 0.6× 71 0.7× 12 0.5× 24 1.0× 5 273
Laura Carretero-Iglesia Switzerland 8 214 1.5× 65 0.6× 77 0.8× 20 0.8× 11 0.5× 11 285
Efrat Merhavi-Shoham Israel 8 197 1.4× 217 2.0× 157 1.5× 19 0.7× 40 1.7× 8 321
Jolien Ceusters Belgium 7 161 1.1× 109 1.0× 67 0.7× 21 0.8× 9 0.4× 19 248
Franziska Brauneck Germany 11 244 1.7× 192 1.7× 72 0.7× 27 1.0× 12 0.5× 21 387
Frederick Arce Vargas United Kingdom 5 204 1.4× 195 1.8× 180 1.8× 50 1.9× 22 0.9× 13 383

Countries citing papers authored by Johanna Chiffelle

Since Specialization
Citations

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

Fields of papers citing papers by Johanna Chiffelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johanna Chiffelle

This figure shows the co-authorship network connecting the top 25 collaborators of Johanna Chiffelle. A scholar is included among the top collaborators of Johanna Chiffelle 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 Johanna Chiffelle. Johanna Chiffelle 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.
Perez, Marta A. S., Johanna Chiffelle, Sara Bobisse, et al.. (2024). Predicting Antigen‐Specificities of Orphan T Cell Receptors from Cancer Patients with TCRpcDist. Advanced Science. 11(40). e2405949–e2405949. 5 indexed citations
2.
Chiffelle, Johanna & Alexandre Harari. (2024). Personalized cancer T-cell therapy takes the stage, mirroring vaccine success. The Journal of Experimental Medicine. 221(8). 2 indexed citations
3.
Müller, Markus, Florian Huber, Marion Arnaud, et al.. (2023). Machine learning methods and harmonized datasets improve immunogenic neoantigen prediction. Immunity. 56(11). 2650–2663.e6. 50 indexed citations
4.
Genolet, Raphaël, Sara Bobisse, Johanna Chiffelle, et al.. (2023). TCR sequencing and cloning methods for repertoire analysis and isolation of tumor-reactive TCRs. Cell Reports Methods. 3(4). 100459–100459. 21 indexed citations
5.
Arnaud, Marion, Sara Bobisse, Johanna Chiffelle, & Alexandre Harari. (2021). The Promise of Personalized TCR-Based Cellular Immunotherapy for Cancer Patients. Frontiers in Immunology. 12. 701636–701636. 10 indexed citations
6.
Orcurto, Angela, Johanna Chiffelle, Eleonora Ghisoni, et al.. (2021). In-depth immune and molecular profiling of melanoma patients receiving adoptive T-cell therapy reveals biomarkers of efficacy in ATATIL study.. Journal of Clinical Oncology. 39(15_suppl). 2533–2533.
7.
Graciotti, Michele, Fabio Marino, HuiSong Pak, et al.. (2020). Deciphering the Mechanisms of Improved Immunogenicity of Hypochlorous Acid-Treated Antigens in Anti-Cancer Dendritic Cell-Based Vaccines. Vaccines. 8(2). 271–271. 15 indexed citations
8.
Chiffelle, Johanna, Raphaël Genolet, Marta A. S. Perez, et al.. (2020). T-cell repertoire analysis and metrics of diversity and clonality. Current Opinion in Biotechnology. 65. 284–295. 105 indexed citations
9.
Chiffelle, Johanna, Paolo Angelino, Alessandra Piersigilli, et al.. (2017). RIP4 inhibits STAT3 signaling to sustain lung adenocarcinoma differentiation. Cell Death and Differentiation. 24(10). 1761–1771. 26 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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