Roger R. Gomis

9.6k total citations · 5 hit papers
67 papers, 6.0k citations indexed

About

Roger R. Gomis is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Roger R. Gomis has authored 67 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 28 papers in Oncology and 17 papers in Cancer Research. Recurrent topics in Roger R. Gomis's work include Bone health and treatments (10 papers), Pancreatic function and diabetes (10 papers) and Cancer Cells and Metastasis (8 papers). Roger R. Gomis is often cited by papers focused on Bone health and treatments (10 papers), Pancreatic function and diabetes (10 papers) and Cancer Cells and Metastasis (8 papers). Roger R. Gomis collaborates with scholars based in Spain, United States and France. Roger R. Gomis's co-authors include Joan Massagué, Cristina Nadal, Xiang H.-F. Zhang, William L. Gerald, Joan Seoane, Paula D. Bos, Don X. Nguyen, Qiongqing Wang, Marc J. van de Vijver and John A. Foekens and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Roger R. Gomis

64 papers receiving 5.9k citations

Hit Papers

Genes that mediate breast cancer metastasis to the brain 2006 2026 2012 2019 2009 2008 2006 2007 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roger R. Gomis Spain 30 3.4k 2.5k 1.6k 889 544 67 6.0k
Alana L. Welm United States 41 4.0k 1.2× 2.4k 1.0× 1.8k 1.2× 745 0.8× 799 1.5× 97 6.5k
Francesc Viñals Spain 35 3.8k 1.1× 1.7k 0.7× 1.6k 1.0× 653 0.7× 530 1.0× 78 6.2k
Oriol Casanovas Spain 32 3.8k 1.1× 2.3k 0.9× 2.1k 1.3× 896 1.0× 591 1.1× 70 6.2k
Jacob Pe’er Israel 39 3.6k 1.1× 1.8k 0.7× 1.2k 0.8× 658 0.7× 806 1.5× 149 7.7k
Sufi M. Thomas United States 43 2.7k 0.8× 2.2k 0.9× 852 0.5× 1.0k 1.1× 486 0.9× 106 5.2k
M. OʼReilly United States 14 3.7k 1.1× 1.9k 0.7× 2.2k 1.4× 741 0.8× 719 1.3× 30 6.0k
Michael T. Lewis United States 43 3.6k 1.1× 3.6k 1.5× 1.6k 1.0× 757 0.9× 627 1.2× 110 6.5k
Simone Brabletz Germany 21 4.2k 1.2× 2.8k 1.1× 2.5k 1.6× 546 0.6× 444 0.8× 32 6.0k
Sophie Vacher France 39 2.6k 0.8× 1.5k 0.6× 1.5k 0.9× 587 0.7× 429 0.8× 142 4.5k
Xiulan Zhao China 44 3.8k 1.1× 2.0k 0.8× 2.3k 1.5× 718 0.8× 539 1.0× 135 5.5k

Countries citing papers authored by Roger R. Gomis

Since Specialization
Citations

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

Fields of papers citing papers by Roger R. Gomis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roger R. Gomis. 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 Roger R. Gomis. The network helps show where Roger R. Gomis may publish in the future.

Co-authorship network of co-authors of Roger R. Gomis

This figure shows the co-authorship network connecting the top 25 collaborators of Roger R. Gomis. A scholar is included among the top collaborators of Roger R. Gomis 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 Roger R. Gomis. Roger R. Gomis 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.
Martín-Martín, Natalia, Ianire Astobiza, Amaia Zabala‐Letona, et al.. (2024). The PP2A regulator IER5L supports prostate cancer progression. Cell Death and Disease. 15(7). 514–514. 1 indexed citations
2.
Verdaguer, Xavier, et al.. (2022). Design and optimization of oestrogen receptor PROTACs based on 4-hydroxytamoxifen. European Journal of Medicinal Chemistry. 243. 114770–114770. 17 indexed citations
3.
Blasco, Maria, et al.. (2022). Ecology and evolution of dormant metastasis. Trends in cancer. 8(7). 570–582. 26 indexed citations
4.
Oliván, Mireia, Marta García, Marc Guiu, et al.. (2021). Loss of microRNA-135b Enhances Bone Metastasis in Prostate Cancer and Predicts Aggressiveness in Human Prostate Samples. Cancers. 13(24). 6202–6202. 11 indexed citations
5.
Foguet, Carles, Míriam Tarrado‐Castellarnau, Silvia Marín, et al.. (2021). Cysteine and Folate Metabolism Are Targetable Vulnerabilities of Metastatic Colorectal Cancer. Cancers. 13(3). 425–425. 16 indexed citations
6.
Urosevic, Jelena, Maria Blasco, Anna Bellmunt, et al.. (2020). ERK1/2 Signaling Induces Upregulation of ANGPT2 and CXCR4 to Mediate Liver Metastasis in Colon Cancer. Cancer Research. 80(21). 4668–4680. 41 indexed citations
7.
Cortázar, Ana R., Verónica Torrano, Natalia Martín-Martín, et al.. (2018). CANCERTOOL: A Visualization and Representation Interface to Exploit Cancer Datasets. Cancer Research. 78(21). 6320–6328. 63 indexed citations
8.
Cánovas, Begoña, Ana Igea, Alessandro A. Sartori, et al.. (2018). Targeting p38α Increases DNA Damage, Chromosome Instability, and the Anti-tumoral Response to Taxanes in Breast Cancer Cells. Cancer Cell. 33(6). 1094–1110.e8. 70 indexed citations
9.
Perurena, Naiara, Carolina Zandueta, Susana Martínez-Canarias, et al.. (2017). EPCR promotes breast cancer progression by altering SPOCK1/testican 1-mediated 3D growth. Journal of Hematology & Oncology. 10(1). 23–23. 19 indexed citations
11.
Seoane, Joan & Roger R. Gomis. (2017). TGF-β Family Signaling in Tumor Suppression and Cancer Progression. Cold Spring Harbor Perspectives in Biology. 9(12). a022277–a022277. 383 indexed citations breakdown →
12.
Pavlović, Milica, Anna Arnal Estape, Federico Rojo, et al.. (2015). Enhanced MAF Oncogene Expression and Breast Cancer Bone Metastasis. JNCI Journal of the National Cancer Institute. 107(12). djv256–djv256. 74 indexed citations
13.
Fluck, Mariano F. Zacarías, Kim Pedersen, Josep Lluís Parra-Palau, et al.. (2013). Constitutive HER2 Signaling Promotes Breast Cancer Metastasis through Cellular Senescence. Cancer Research. 73(1). 450–458. 77 indexed citations
14.
Inglés‐Esteve, Julia, M.L González Morales, Alba Dalmases, et al.. (2012). Inhibition of Specific NF-κB Activity Contributes to the Tumor Suppressor Function of 14-3-3σ in Breast Cancer. PLoS ONE. 7(5). e38347–e38347. 25 indexed citations
15.
Pavlović, Milica, Anna Arnal Estape, Jelena Urosevic, et al.. (2012). Identification of NOG as a Specific Breast Cancer Bone Metastasis-supporting Gene. Journal of Biological Chemistry. 287(25). 21346–21355. 55 indexed citations
16.
Morales, M.L González, et al.. (2011). Tumor-stroma interactions a trademark for metastasis. The Breast. 20. S50–S55. 14 indexed citations
17.
Gupta, Gaorav P., Don X. Nguyen, Anne C. Chiang, et al.. (2007). Mediators of vascular remodelling co-opted for sequential steps in lung metastasis. Nature. 446(7137). 765–770. 548 indexed citations breakdown →
18.
Cid, Emili, et al.. (2004). A biochemistry and molecular biology course for secondary school teachers*. Biochemistry and Molecular Biology Education. 32(6). 378–380. 1 indexed citations
19.
Cid, Emili, Roger R. Gomis, Roberto A. Geremia, Joan J. Guinovart, & Juan C. Ferrer. (2000). Identification of Two Essential Glutamic Acid Residues in Glycogen Synthase. Journal of Biological Chemistry. 275(43). 33614–33621. 50 indexed citations
20.
Gasa, Rosa, et al.. (1995). Apparent Starvation-Induced Repression of Pancreatic Islet Glucokinase. Biochemical and Molecular Medicine. 56(2). 99–103. 4 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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