Charles Pottier

1.4k total citations · 2 hit papers
15 papers, 1.0k citations indexed

About

Charles Pottier is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Charles Pottier has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Charles Pottier's work include Molecular Biology Techniques and Applications (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Charles Pottier is often cited by papers focused on Molecular Biology Techniques and Applications (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Charles Pottier collaborates with scholars based in Belgium, Germany and France. Charles Pottier's co-authors include Rémi Longuespée, Nor Eddine Sounni, Margaux Fresnais, Guy Jérusalem, Edwin De Pauw, Gabriel Mazzucchelli, Philippe Delvenne, Mark Kriegsmann, Philippe Delvenne and Michaël Herfs and has published in prestigious journals such as Cellular and Molecular Life Sciences, Oncotarget and Redox Biology.

In The Last Decade

Charles Pottier

15 papers receiving 1.0k citations

Hit Papers

Tyrosine Kinase Inhibitors in Cancer: Breakthrough and Ch... 2020 2026 2022 2024 2020 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Pottier Belgium 14 539 362 299 218 171 15 1.0k
Vilde Drageset Haakensen Norway 21 761 1.4× 330 0.9× 314 1.1× 154 0.7× 60 0.4× 42 1.1k
Fumi Kinose United States 17 595 1.1× 265 0.7× 146 0.5× 157 0.7× 54 0.3× 26 857
Lena Kanter Sweden 20 959 1.8× 628 1.7× 301 1.0× 129 0.6× 66 0.4× 39 1.3k
Alex J. Eustace Ireland 20 688 1.3× 429 1.2× 347 1.2× 163 0.7× 34 0.2× 52 1.2k
Jon Burrows United States 9 674 1.3× 429 1.2× 134 0.4× 238 1.1× 109 0.6× 20 1.1k
Donald J. Johann United States 18 805 1.5× 389 1.1× 315 1.1× 205 0.9× 223 1.3× 59 1.4k
Shingo Sakashita Japan 23 639 1.2× 439 1.2× 290 1.0× 392 1.8× 37 0.2× 104 1.4k
Mary Sproull United States 17 678 1.3× 402 1.1× 247 0.8× 394 1.8× 47 0.3× 53 1.4k
Sergej Skvortsov Austria 24 1.2k 2.3× 780 2.2× 605 2.0× 332 1.5× 76 0.4× 48 2.1k
Joshua C. Anderson United States 20 667 1.2× 253 0.7× 196 0.7× 147 0.7× 28 0.2× 64 1.1k

Countries citing papers authored by Charles Pottier

Since Specialization
Citations

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

Fields of papers citing papers by Charles Pottier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Pottier

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

All Works

15 of 15 papers shown
1.
Pottier, Charles, Dominique Baiwir, Gabriel Mazzucchelli, et al.. (2025). Targeting ferroptosis resistance resensitizes metastatic HR + HER2 breast cancer cells to palbociclib‐hormone therapy. Cancer Communications. 45(4). 460–464. 1 indexed citations
2.
Lebeau, Alizée, Charles Pottier, Thomas Louis, et al.. (2022). Periostin in lymph node pre-metastatic niches governs lymphatic endothelial cell functions and metastatic colonization. Cellular and Molecular Life Sciences. 79(6). 295–295. 15 indexed citations
3.
Luis, Géraldine, Shin Nishiumi, Jonathan Cimino, et al.. (2021). Tumor resistance to ferroptosis driven by Stearoyl-CoA Desaturase-1 (SCD1) in cancer cells and Fatty Acid Biding Protein-4 (FABP4) in tumor microenvironment promote tumor recurrence. Redox Biology. 43. 102006–102006. 183 indexed citations breakdown →
4.
Pottier, Charles, et al.. (2020). Tyrosine Kinase Inhibitors in Cancer: Breakthrough and Challenges of Targeted Therapy. Cancers. 12(3). 731–731. 321 indexed citations breakdown →
5.
Pottier, Charles, et al.. (2020). EMT-Associated Heterogeneity in Circulating Tumor Cells: Sticky Friends on the Road to Metastasis. Cancers. 12(6). 1632–1632. 87 indexed citations
6.
Pottier, Charles, Mark Kriegsmann, Nicolas Smargiasso, et al.. (2018). Microproteomic Profiling of High‐Grade Squamous Intraepithelial Lesion of the Cervix: Insight into Biological Mechanisms of Dysplasia and New Potential Diagnostic Markers. PROTEOMICS - CLINICAL APPLICATIONS. 13(1). e1800052–e1800052. 14 indexed citations
7.
Kindt, Nadège, Géraldine Descamps, Justine Bellier, et al.. (2018). High infiltration of CD68+ macrophages is associated with poor prognoses of head and neck squamous cell carcinoma patients and is influenced by human papillomavirus. Oncotarget. 9(13). 11046–11059. 55 indexed citations
8.
Kindt, Nadège, Géraldine Descamps, Justine Bellier, et al.. (2017). High stromal Foxp3-positive T cell number combined to tumor stage improved prognosis in head and neck squamous cell carcinoma. Oral Oncology. 67. 183–191. 28 indexed citations
9.
Pottier, Charles, Nicolas Smargiasso, Dominique Baiwir, et al.. (2017). MALDI Imaging‐Guided Microproteomic Analyses of Heterogeneous Breast Tumors—A Pilot Study. PROTEOMICS - CLINICAL APPLICATIONS. 12(1). 38 indexed citations
10.
Balsat, Cédric, Silvia Blacher, Michaël Herfs, et al.. (2017). A specific immune and lymphatic profile characterizes the pre-metastatic state of the sentinel lymph node in patients with early cervical cancer. OncoImmunology. 6(2). e1265718–e1265718. 27 indexed citations
11.
Longuespée, Rémi, Rita Casadonte, Mark Kriegsmann, et al.. (2016). MALDI mass spectrometry imaging: A cutting‐edge tool for fundamental and clinical histopathology. PROTEOMICS - CLINICAL APPLICATIONS. 10(7). 701–719. 61 indexed citations
12.
Kindt, Nadège, Géraldine Descamps, Justine Bellier, et al.. (2016). Langerhans cell number is a strong and independent prognostic factor for head and neck squamous cell carcinomas. Oral Oncology. 62. 1–10. 43 indexed citations
13.
Longuespée, Rémi, Charles Pottier, Nicolas Smargiasso, et al.. (2015). A laser microdissection-based workflow for FFPE tissue microproteomics: Important considerations for small sample processing. Methods. 104. 154–162. 69 indexed citations
14.
Pottier, Charles, Patrick Roncarati, Rémi Longuespée, et al.. (2015). The importance of the tumor microenvironment in the therapeutic management of cancer. Expert Review of Anticancer Therapy. 15(8). 943–954. 63 indexed citations
15.
Longuespée, Rémi, Charles Pottier, Florence Quesada‐Calvo, et al.. (2014). Tissue Proteomics for the Next Decade? Towards a Molecular Dimension in Histology. OMICS A Journal of Integrative Biology. 18(9). 539–552. 41 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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