Renata Scopim‐Ribeiro

496 total citations
16 papers, 285 citations indexed

About

Renata Scopim‐Ribeiro is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Renata Scopim‐Ribeiro has authored 16 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Hematology and 7 papers in Genetics. Recurrent topics in Renata Scopim‐Ribeiro's work include Acute Myeloid Leukemia Research (8 papers), Epigenetics and DNA Methylation (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). Renata Scopim‐Ribeiro is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Epigenetics and DNA Methylation (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). Renata Scopim‐Ribeiro collaborates with scholars based in Brazil, United States and France. Renata Scopim‐Ribeiro's co-authors include Fabı́ola Traina, João Agostinho Machado‐Neto, Fernando Ferreira Costa, Paula de Melo Campos, Juan Luiz Coelho‐Silva, Brian Druker, Sara Teresinha Olalla Saad, Irene Lorand‐Metze, Eduardo Magalhães Rego and Cristina E. Tognon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and eLife.

In The Last Decade

Renata Scopim‐Ribeiro

15 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renata Scopim‐Ribeiro Brazil 10 176 82 57 56 53 16 285
Samuel J. Taylor United States 10 146 0.8× 123 1.5× 24 0.4× 73 1.3× 59 1.1× 21 333
Deniz Gezer Germany 9 182 1.0× 154 1.9× 106 1.9× 40 0.7× 68 1.3× 22 312
Dita Demirtas Austria 8 172 1.0× 39 0.5× 35 0.6× 50 0.9× 82 1.5× 16 328
Shi Chen United States 9 286 1.6× 99 1.2× 68 1.2× 46 0.8× 56 1.1× 16 361
Carine Lefèvre France 8 174 1.0× 58 0.7× 48 0.8× 32 0.6× 46 0.9× 11 339
Martin Kirschner Germany 13 196 1.1× 134 1.6× 29 0.5× 29 0.5× 105 2.0× 33 389
Vladimir Janković United States 6 206 1.2× 86 1.0× 20 0.4× 49 0.9× 45 0.8× 11 329
Sonja Röhrs Germany 9 257 1.5× 61 0.7× 42 0.7× 30 0.5× 37 0.7× 9 369
Yocheved L. Schindler United States 5 388 2.2× 83 1.0× 45 0.8× 54 1.0× 66 1.2× 9 476
Seka Lazare Netherlands 6 245 1.4× 200 2.4× 62 1.1× 140 2.5× 79 1.5× 8 448

Countries citing papers authored by Renata Scopim‐Ribeiro

Since Specialization
Citations

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

Fields of papers citing papers by Renata Scopim‐Ribeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renata Scopim‐Ribeiro. 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 Renata Scopim‐Ribeiro. The network helps show where Renata Scopim‐Ribeiro may publish in the future.

Co-authorship network of co-authors of Renata Scopim‐Ribeiro

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

All Works

16 of 16 papers shown
1.
Scopim‐Ribeiro, Renata, João Agostinho Machado‐Neto, Christopher A. Eide, et al.. (2021). NT157, an IGF1R-IRS1/2 inhibitor, exhibits antineoplastic effects in pre-clinical models of chronic myeloid leukemia. Investigational New Drugs. 39(3). 736–746. 7 indexed citations
2.
Scopim‐Ribeiro, Renata, et al.. (2021). NSG Mice Facilitate ex vivo Characterization of Ewing Sarcoma Lung Metastasis Using the PuMA Model. Frontiers in Oncology. 11. 645757–645757. 5 indexed citations
3.
Coelho‐Silva, Juan Luiz, Renata Scopim‐Ribeiro, Priscila Santos Scheucher, et al.. (2020). NT157 has antineoplastic effects and inhibits IRS1/2 and STAT3/5 in JAK2V617F-positive myeloproliferative neoplasm cells. Signal Transduction and Targeted Therapy. 5(1). 5–5. 24 indexed citations
4.
Javidi‐Sharifi, Nathalie, Jacqueline Martinez, Isabel A. English, et al.. (2019). FGF2-FGFR1 signaling regulates release of Leukemia-Protective exosomes from bone marrow stromal cells. eLife. 8. 53 indexed citations
5.
Machado‐Neto, João Agostinho, Renata Scopim‐Ribeiro, Christopher A. Eide, et al.. (2018). Metformin exerts multitarget antileukemia activity in JAK2V617F-positive myeloproliferative neoplasms. Cell Death and Disease. 9(3). 311–311. 19 indexed citations
6.
Machado‐Neto, João Agostinho, et al.. (2018). Insulin Substrate Receptor (IRS) proteins in normal and malignant hematopoiesis. Clinics. 73. e566s–e566s. 41 indexed citations
7.
Coelho‐Silva, Juan Luiz, Renata Scopim‐Ribeiro, Belinda Pinto Simões, et al.. (2018). Increased levels of cyclin D1 negatively impacts on acute lymphoblastic leukemia overall survival. SHILAP Revista de lepidopterología. 38(1). 1 indexed citations
8.
Machado‐Neto, João Agostinho, Juan Luiz Coelho‐Silva, Renata Scopim‐Ribeiro, et al.. (2017). Paclitaxel induces Stathmin 1 phosphorylation, microtubule stability and apoptosis in acute lymphoblastic leukemia cells. Heliyon. 3(9). e00405–e00405. 9 indexed citations
9.
Machado‐Neto, João Agostinho, Paula de Melo Campos, Patrícia Favaro, et al.. (2017). SIVA, a target of p53, is downregulated in myelodysplastic syndromes. SHILAP Revista de lepidopterología. 37(1).
10.
Machado‐Neto, João Agostinho, et al.. (2016). IRS1/β‐Catenin Axis Is Activated and Induces MYC Expression in Acute Lymphoblastic Leukemia Cells. Journal of Cellular Biochemistry. 118(7). 1774–1781. 16 indexed citations
11.
Scopim‐Ribeiro, Renata, João Agostinho Machado‐Neto, Paula de Melo Campos, et al.. (2016). Low Ten-eleven-translocation 2 (TET2) transcript level is independent of TET2 mutation in patients with myeloid neoplasms. Diagnostic Pathology. 11(1). 28–28. 13 indexed citations
12.
Campos, Paula de Melo, João Agostinho Machado‐Neto, Christopher A. Eide, et al.. (2016). IRS2 silencing increases apoptosis and potentiates the effects of ruxolitinib in JAK2V617F-positive myeloproliferative neoplasms. Oncotarget. 7(6). 6948–6959. 18 indexed citations
13.
Machado‐Neto, João Agostinho, Mariana Lazarini, Patrícia Favaro, et al.. (2014). ANKHD1 silencing inhibits Stathmin 1 activity, cell proliferation and migration of leukemia cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1853(3). 583–593. 25 indexed citations
14.
Campos, Paula de Melo, João Agostinho Machado‐Neto, Renata Scopim‐Ribeiro, et al.. (2014). Familial systemic mastocytosis with germline KIT K509I mutation is sensitive to treatment with imatinib, dasatinib and PKC412. Leukemia Research. 38(10). 1245–1251. 35 indexed citations
15.
Scopim‐Ribeiro, Renata, João Agostinho Machado‐Neto, Paula de Melo Campos, et al.. (2014). Ten‐Eleven‐Translocation 2 (TET2) is downregulated in myelodysplastic syndromes. European Journal Of Haematology. 94(5). 413–418. 17 indexed citations
16.
Campos, Paula de Melo, João Agostinho Machado‐Neto, Adriana Silva Santos Duarte, et al.. (2013). Familial Mastocytosis: Identification Of KIT K509I Mutation and Its In Vitro Sensitivity To Imatinib, Dasatinib and PKC412. Blood. 122(21). 5267–5267. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Samuel J. Taylor Breakdown of academic impact, for papers by Deniz Gezer Breakdown of academic impact, for papers by Dita Demirtas Breakdown of academic impact, for papers by Shi Chen Breakdown of academic impact, for papers by Carine Lefèvre Breakdown of academic impact, for papers by Martin Kirschner Breakdown of academic impact, for papers by Vladimir Janković Breakdown of academic impact, for papers by Sonja Röhrs Breakdown of academic impact, for papers by Yocheved L. Schindler Breakdown of academic impact, for papers by Seka Lazare
Rankless by CCL
2026