Joan Seoane

22.0k total citations · 7 hit papers
97 papers, 12.5k citations indexed

About

Joan Seoane is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Joan Seoane has authored 97 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 45 papers in Oncology and 33 papers in Cancer Research. Recurrent topics in Joan Seoane's work include TGF-β signaling in diseases (27 papers), Cancer Genomics and Diagnostics (23 papers) and Glioma Diagnosis and Treatment (22 papers). Joan Seoane is often cited by papers focused on TGF-β signaling in diseases (27 papers), Cancer Genomics and Diagnostics (23 papers) and Glioma Diagnosis and Treatment (22 papers). Joan Seoane collaborates with scholars based in Spain, United States and Palestinian Territory. Joan Seoane's co-authors include Joan Massagué, David Wotton, Roger R. Gomis, H. Carl Le, Stewart A. Anderson, Lijian Shen, Leticia De Mattos‐Arruda, José Baselga, Martin Eilers and Peter Staller and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Joan Seoane

94 papers receiving 12.4k citations

Hit Papers

Smad transcription factors 2002 2026 2010 2018 2005 2014 2004 2002 2017 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Smad transcription factors
    2005 1.9k citations Joan Massagué, Joan Seoane et al. profile →
  2. Patient-Derived Xenograft Models: An Emerging Platform for Translational Cancer Research
    2014 1.2k citations Carlos Caldas, Joan Seoane et al. Cancer Discovery profile →
  3. Integration of Smad and Forkhead Pathways in the Control of Neuroepithelial and Glioblastoma Cell Proliferation
    2004 821 citations Joan Seoane, Joan Massagué et al. Cell profile →
  4. Myc suppression of the p21Cip1 Cdk inhibitor influences the outcome of the p53 response to DNA damage
    2002 544 citations Joan Seoane, Joan Massagué et al. profile →
  5. TGF-β Family Signaling in Tumor Suppression and Cancer Progression
    2017 383 citations Joan Seoane et al. profile →
  6. ESMO recommendations on the use of circulating tumour DNA assays for patients with cancer: a report from the ESMO Precision Medicine Working Group
    2022 355 citations Leticia De Mattos‐Arruda, Joan Seoane et al. profile →
  7. Targeting the Warburg Effect in Cancer: Where Do We Stand?
    2024 84 citations Ignasi Barba, Joan Seoane et al. International Journal of Molecular Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joan Seoane Spain 45 8.1k 4.6k 3.2k 1.6k 1.3k 97 12.5k
Andrea L. Richardson United States 36 7.1k 0.9× 6.4k 1.4× 3.7k 1.1× 1.3k 0.8× 1.2k 0.9× 62 11.8k
Yardena Samuels United States 41 8.0k 1.0× 5.0k 1.1× 2.3k 0.7× 1.7k 1.0× 1.3k 1.0× 78 11.7k
Gary E. Gallick United States 67 7.7k 0.9× 6.0k 1.3× 2.9k 0.9× 2.0k 1.2× 966 0.7× 202 13.7k
Alan Mackay United Kingdom 56 5.5k 0.7× 3.9k 0.8× 3.5k 1.1× 1.3k 0.8× 1.1k 0.9× 134 10.1k
Leif W. Ellisen United States 54 9.4k 1.2× 4.9k 1.1× 3.9k 1.2× 1.6k 1.0× 784 0.6× 152 15.9k
Dionyssios Katsaros Italy 61 7.1k 0.9× 4.6k 1.0× 4.5k 1.4× 1.0k 0.6× 1.4k 1.1× 200 13.7k
Shikha Bose United States 43 6.3k 0.8× 2.6k 0.6× 2.1k 0.7× 1.1k 0.7× 923 0.7× 109 10.2k
Adrian Merlo Switzerland 46 5.8k 0.7× 2.8k 0.6× 1.9k 0.6× 1.1k 0.7× 1.3k 1.0× 89 9.4k
Samy Lamouille United States 17 7.4k 0.9× 4.2k 0.9× 3.2k 1.0× 1.5k 0.9× 473 0.4× 24 11.4k
Jocelyn Holash United States 34 8.1k 1.0× 2.7k 0.6× 3.0k 0.9× 1.1k 0.7× 1.1k 0.8× 46 11.9k

Countries citing papers authored by Joan Seoane

Since Specialization
Citations

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

Fields of papers citing papers by Joan Seoane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Seoane

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Seoane. A scholar is included among the top collaborators of Joan Seoane 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 Joan Seoane. Joan Seoane 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.
Barba, Ignasi, et al.. (2024). Targeting the Warburg Effect in Cancer: Where Do We Stand?. International Journal of Molecular Sciences. 25(6). 3142–3142. 84 indexed citations breakdown →
2.
Sammut, Stephen‐John, Jacob D. Galson, Ralph Minter, et al.. (2024). Predictability of B cell clonal persistence and immunosurveillance in breast cancer. Nature Immunology. 25(5). 916–924. 10 indexed citations
3.
Bonfill‐Teixidor, Ester, Alexandra Arias, Isabel Cuartas, et al.. (2024). Cervical Cancer Evades the Host Immune System through the Inhibition of Type I Interferon and CXCL9 by LIF. Clinical Cancer Research. 30(19). 4505–4516. 5 indexed citations
4.
Seoane, Joan. (2023). Patient‐derived preclinical models to develop immunotherapies. Molecular Oncology. 17(7). 1169–1172. 2 indexed citations
5.
Hallett, Robin, Ester Bonfill‐Teixidor, Raffaella Iurlaro, et al.. (2022). Therapeutic Targeting of LIF Overcomes Macrophage-mediated Immunosuppression of the Local Tumor Microenvironment. Clinical Cancer Research. 29(4). 791–804. 25 indexed citations
6.
Soffietti, Riccardo, Chetan Bettegowda, Ingo K. Mellinghoff, et al.. (2022). Liquid biopsy in gliomas: A RANO review and proposals for clinical applications. Neuro-Oncology. 24(6). 855–871. 63 indexed citations
7.
Escudero, Laura, Francisco Martínez‐Ricarte, & Joan Seoane. (2021). ctDNA-Based Liquid Biopsy of Cerebrospinal Fluid in Brain Cancer. Cancers. 13(9). 1989–1989. 36 indexed citations
8.
Seoane, Joan & Laura Escudero. (2021). Cerebrospinal fluid liquid biopsies for medulloblastoma. Nature Reviews Clinical Oncology. 19(2). 73–74. 6 indexed citations
9.
Gargini, Ricardo, Berta Segura‐Collar, Beatriz Herránz, et al.. (2020). The IDH-TAU-EGFR triad defines the neovascular landscape of diffuse gliomas. Science Translational Medicine. 12(527). 51 indexed citations
10.
Escudero, Laura, Anna Llort, Ander Díaz‐Navarro, et al.. (2020). Circulating tumour DNA from the cerebrospinal fluid allows the characterisation and monitoring of medulloblastoma. Nature Communications. 11(1). 5376–5376. 77 indexed citations
11.
Liu, Qi, Lin Ma, Trevor J. Jones, et al.. (2018). Subjugation of TGFβ Signaling by Human Papilloma Virus in Head and Neck Squamous Cell Carcinoma Shifts DNA Repair from Homologous Recombination to Alternative End Joining. Clinical Cancer Research. 24(23). 6001–6014. 72 indexed citations
12.
13.
Rodón, Laura, Alba Gonzàlez-Juncà, María del Mar Inda, et al.. (2014). Active CREB1 Promotes a Malignant TGFβ2 Autocrine Loop in Glioblastoma. Cancer Discovery. 4(10). 1230–1241. 68 indexed citations
14.
Rodón, Jordi, Michael A. Carducci, Juan Manuel Sepúlveda-Sánchez, et al.. (2014). First-in-Human Dose Study of the Novel Transforming Growth Factor-β Receptor I Kinase Inhibitor LY2157299 Monohydrate in Patients with Advanced Cancer and Glioma. Clinical Cancer Research. 21(3). 553–560. 200 indexed citations
15.
Serra, Violeta, Ana Vivancos, Xosé S. Puente, et al.. (2013). Clinical Response to a Lapatinib-Based Therapy for a Li-Fraumeni Syndrome Patient with a Novel HER2 V659E Mutation. Cancer Discovery. 3(11). 1238–1244. 33 indexed citations
16.
Eichhorn, Pieter J.A., Magüi Gili, Maurizio Scaltriti, et al.. (2008). Phosphatidylinositol 3-Kinase Hyperactivation Results in Lapatinib Resistance that Is Reversed by the mTOR/Phosphatidylinositol 3-Kinase Inhibitor NVP-BEZ235. Cancer Research. 68(22). 9221–9230. 378 indexed citations
17.
Núñez, M., M.C. Ruiz-Sánchez, J. M. Dell'Amico, et al.. (2001). Effect of a Brassinosteroid Analogue and High Temperature Stress on Leaf Ultrastructure of Lycopersicon Esculentum. Biologia Plantarum. 44(2). 213–218. 15 indexed citations
18.
Hata, Akiko, et al.. (2000). OAZ Uses Distinct DNA- and Protein-Binding Zinc Fingers in Separate BMP-Smad and Olf Signaling Pathways. Cell. 100(2). 229–240. 361 indexed citations
19.
Seoane, Joan, Albert Barberà, Sabine Télémaque-Potts, Christopher B. Newgard, & Joan J. Guinovart. (1999). Glucokinase Overexpression Restores Glucose Utilization and Storage in Cultured Hepatocytes from Male Zucker Diabetic Fatty Rats. Journal of Biological Chemistry. 274(45). 31833–31838. 32 indexed citations
20.
Seoane, Joan, Robert M. O’Doherty, Anna M. Gómèz‐Foix, et al.. (1997). Metabolic Impact of Adenovirus-mediated Overexpression of the Glucose-6-phosphatase Catalytic Subunit in Hepatocytes. Journal of Biological Chemistry. 272(43). 26972–26977. 64 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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