Hélène Salmon

6.1k total citations · 2 hit papers
20 papers, 1.8k citations indexed

About

Hélène Salmon is a scholar working on Immunology, Oncology and Immunology and Allergy. According to data from OpenAlex, Hélène Salmon has authored 20 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 11 papers in Oncology and 5 papers in Immunology and Allergy. Recurrent topics in Hélène Salmon's work include Immunotherapy and Immune Responses (11 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Cancer Cells and Metastasis (6 papers). Hélène Salmon is often cited by papers focused on Immunotherapy and Immune Responses (11 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Cancer Cells and Metastasis (6 papers). Hélène Salmon collaborates with scholars based in France, United States and Italy. Hélène Salmon's co-authors include Emmanuel Donnadieu, Marie‐Caroline Dieu‐Nosjean, Katarzyna Franciszkiewicz, Pierre Validire, Alain Trautmann, Diane Damotte, Fathia Mami‐Chouaib, Miriam Mérad, Sacha Gnjatic and Romain Remark and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Neuroscience.

In The Last Decade

Hélène Salmon

18 papers receiving 1.8k citations

Hit Papers

Matrix architecture defines the preferential localization... 2012 2026 2016 2021 2012 2023 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
Hélène Salmon France 12 1.1k 974 479 256 231 20 1.8k
Rebekka Wehner Germany 27 941 0.9× 990 1.0× 652 1.4× 227 0.9× 184 0.8× 66 2.2k
Katarzyna Franciszkiewicz France 12 980 0.9× 1.2k 1.2× 352 0.7× 170 0.7× 117 0.5× 14 1.8k
Gregorius P. M. Luyten Netherlands 32 946 0.9× 885 0.9× 957 2.0× 214 0.8× 205 0.9× 114 3.0k
Robbert van der Voort Netherlands 28 1.1k 1.0× 1.4k 1.4× 658 1.4× 110 0.4× 125 0.5× 43 2.4k
Selim Kuçi Germany 28 621 0.6× 629 0.6× 569 1.2× 134 0.5× 147 0.6× 53 2.0k
Esther N. Arwert United Kingdom 11 901 0.8× 536 0.6× 848 1.8× 352 1.4× 230 1.0× 15 2.1k
Koen Schepers Netherlands 24 633 0.6× 1.3k 1.3× 723 1.5× 217 0.8× 137 0.6× 37 2.5k
Paul Zajac Switzerland 27 1.1k 1.1× 1.1k 1.2× 654 1.4× 212 0.8× 169 0.7× 57 2.4k
Syed R. Husain United States 30 772 0.7× 1.2k 1.2× 688 1.4× 175 0.7× 146 0.6× 54 2.5k
Fernando Anjos‐Afonso United Kingdom 22 664 0.6× 1.0k 1.1× 998 2.1× 297 1.2× 135 0.6× 37 2.6k

Countries citing papers authored by Hélène Salmon

Since Specialization
Citations

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

Fields of papers citing papers by Hélène Salmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hélène Salmon

This figure shows the co-authorship network connecting the top 25 collaborators of Hélène Salmon. A scholar is included among the top collaborators of Hélène Salmon 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 Hélène Salmon. Hélène Salmon 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.
Lerousseau, Marvin, Fanny Orlhac, Christine Lonjou, et al.. (2025). Integration of clinical, pathological, radiological, and transcriptomic data improves prediction for first-line immunotherapy outcome in metastatic non-small cell lung cancer. Nature Communications. 16(1). 614–614. 13 indexed citations
3.
Durand, Adeline, Renaud Leclère, Kyra J. E. Borgman, et al.. (2025). Epigenomic disorder and partial EMT impair luminal progenitor integrity in Brca1-associated breast tumorigenesis. Molecular Cancer. 24(1). 127–127. 1 indexed citations
5.
Bochnakian, Aurore, Caroline Hoffmann, Philémon Sirven, et al.. (2023). Selective STING stimulation in dendritic cells primes antitumor T cell responses. Science Immunology. 8(79). eabn6612–eabn6612. 103 indexed citations breakdown →
6.
Filipescu, Dan, Saul Carcamo, Navpreet Tung, et al.. (2023). MacroH2A restricts inflammatory gene expression in melanoma cancer-associated fibroblasts by coordinating chromatin looping. Nature Cell Biology. 25(9). 1332–1345. 16 indexed citations
7.
Ridder, Kirsten De, Navpreet Tung, Léa Karpf, et al.. (2021). Novel 3D Lung Tumor Spheroids for Oncoimmunological Assays. Advanced NanoBiomed Research. 2(4). 7 indexed citations
8.
Salmon, Hélène, Romain Remark, Sacha Gnjatic, & Miriam Mérad. (2019). Host tissue determinants of tumour immunity. Nature reviews. Cancer. 19(4). 215–227. 200 indexed citations
9.
Wang, Li, Abdel Saci, Péter M. Szabó, et al.. (2018). EMT- and stroma-related gene expression and resistance to PD-1 blockade in urothelial cancer. Nature Communications. 9(1). 3503–3503. 216 indexed citations
10.
Cytlak, Urszula, Colleen M. Lau, Kanako L. Lewis, et al.. (2018). Notch Signaling Facilitates In Vitro Generation of Cross-Presenting Classical Dendritic Cells. Cell Reports. 23(12). 3658–3672.e6. 149 indexed citations
11.
Salmon, Hélène, Juliana Idoyaga, Adeeb Rahman, et al.. (2016). Abstract B015: Expansion and activation of CD103+ dendritic cell progenitors at the tumor site transform tumor response to PD-L1 and BRAF inhibition. Cancer Immunology Research. 4(11_Supplement). B015–B015. 1 indexed citations
12.
Reuter, Eva, René Gollan, Magdalena Paterka, et al.. (2015). Cross-Recognition of a Myelin Peptide by CD8+T Cells in the CNS Is Not Sufficient to Promote Neuronal Damage. Journal of Neuroscience. 35(12). 4837–4850. 9 indexed citations
13.
Price, Jeremy, Juliana Idoyaga, Hélène Salmon, et al.. (2015). CDKN1A regulates Langerhans cell survival and promotes Treg cell generation upon exposure to ionizing irradiation. Nature Immunology. 16(10). 1060–1068. 103 indexed citations
14.
Agudo, Judith, Albert Ruzo, Navpreet Tung, et al.. (2013). The miR-126–VEGFR2 axis controls the innate response to pathogen-associated nucleic acids. Nature Immunology. 15(1). 54–62. 102 indexed citations
15.
Peranzoni, Elisa, et al.. (2013). Positive and negative influence of the matrix architecture on antitumor immune surveillance. Cellular and Molecular Life Sciences. 70(23). 4431–4448. 72 indexed citations
16.
Salmon, Hélène & Emmanuel Donnadieu. (2012). Within tumors, interactions between T cells and tumor cells are impeded by the extracellular matrix. OncoImmunology. 1(6). 992–994. 44 indexed citations
17.
Salmon, Hélène, Katarzyna Franciszkiewicz, Diane Damotte, et al.. (2012). Matrix architecture defines the preferential localization and migration of T cells into the stroma of human lung tumors. Journal of Clinical Investigation. 122(3). 899–910. 774 indexed citations breakdown →
18.
Salmon, Hélène & Emmanuel Donnadieu. (2012). La matrice extracellulaire. médecine/sciences. 28(10). 824–826. 4 indexed citations
19.
Salmon, Hélène, et al.. (2011). <em>Ex vivo</em> Imaging of T Cells in Murine Lymph Node Slices with Widefield and Confocal Microscopes. Journal of Visualized Experiments. e3054–e3054. 16 indexed citations
20.
Chevaleyre, Claire, et al.. (1998). Activité chimiotactique de lait d'artiodactyle sur les lymphocytes porcins. HAL (Le Centre pour la Communication Scientifique Directe). 5 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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