José E. Guimarães

1.5k total citations
26 papers, 934 citations indexed

About

José E. Guimarães is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, José E. Guimarães has authored 26 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Hematology and 7 papers in Cancer Research. Recurrent topics in José E. Guimarães's work include Multiple Myeloma Research and Treatments (7 papers), MicroRNA in disease regulation (7 papers) and Extracellular vesicles in disease (4 papers). José E. Guimarães is often cited by papers focused on Multiple Myeloma Research and Treatments (7 papers), MicroRNA in disease regulation (7 papers) and Extracellular vesicles in disease (4 papers). José E. Guimarães collaborates with scholars based in Portugal, United Kingdom and Brazil. José E. Guimarães's co-authors include M. Helena Vasconcelos, Rui Bergantim, Hugo Seca, Raquel T. Lima, Hugo R. Caires, M. Fátima Leite, Clara Sambade, L. Miguel Martins, Vanessa Carla Monteiro Pinto and Mélanie A. G. Barbosa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and International Journal of Molecular Sciences.

In The Last Decade

José E. Guimarães

25 papers receiving 922 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José E. Guimarães Portugal 13 615 280 175 162 125 26 934
Ana B. Herrero Spain 21 729 1.2× 142 0.5× 139 0.8× 229 1.4× 133 1.1× 42 1.1k
Jijun Cheng United States 24 1.1k 1.8× 403 1.4× 104 0.6× 217 1.3× 78 0.6× 32 1.6k
Jaqueline Carvalho de Oliveira Brazil 20 780 1.3× 544 1.9× 39 0.2× 146 0.9× 75 0.6× 71 1.1k
Jessica Gasparello Italy 19 631 1.0× 350 1.3× 85 0.5× 50 0.3× 42 0.3× 72 967
Huadong Pei China 16 910 1.5× 99 0.4× 58 0.3× 182 1.1× 64 0.5× 23 1.0k
Katelyn O’Neill United States 11 560 0.9× 109 0.4× 61 0.3× 137 0.8× 113 0.9× 15 813
Bing Zheng China 21 364 0.6× 75 0.3× 98 0.6× 343 2.1× 71 0.6× 51 1.1k
Wun‐Shaing Wayne Chang Taiwan 19 603 1.0× 704 2.5× 330 1.9× 376 2.3× 54 0.4× 34 1.4k

Countries citing papers authored by José E. Guimarães

Since Specialization
Citations

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

Fields of papers citing papers by José E. Guimarães

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José E. Guimarães. 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 José E. Guimarães. The network helps show where José E. Guimarães may publish in the future.

Co-authorship network of co-authors of José E. Guimarães

This figure shows the co-authorship network connecting the top 25 collaborators of José E. Guimarães. A scholar is included among the top collaborators of José E. Guimarães 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 José E. Guimarães. José E. Guimarães 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.
Bergantim, Rui, Sara Peixoto da Silva, Vanessa Carla Monteiro Pinto, et al.. (2025). MicroRNA-665 and its potential role in drug response and survival outcomes in multiple myeloma: a preliminary study. Frontiers in Pharmacology. 16. 1465814–1465814.
2.
Bergantim, Rui, Sara Peixoto da Silva, Mélanie A. G. Barbosa, et al.. (2022). Detection of Measurable Residual Disease Biomarkers in Extracellular Vesicles from Liquid Biopsies of Multiple Myeloma Patients—A Proof of Concept. International Journal of Molecular Sciences. 23(22). 13686–13686. 9 indexed citations
3.
Silva, Sara Peixoto da, Hugo R. Caires, Rui Bergantim, José E. Guimarães, & M. Helena Vasconcelos. (2021). miRNAs mediated drug resistance in hematological malignancies. Seminars in Cancer Biology. 83. 283–302. 25 indexed citations
4.
Pinto, Vanessa Carla Monteiro, Rui Bergantim, Hugo R. Caires, et al.. (2020). Multiple Myeloma: Available Therapies and Causes of Drug Resistance. Cancers. 12(2). 407–407. 158 indexed citations
5.
Xavier, Cristina P. R., Hugo R. Caires, Mélanie A. G. Barbosa, et al.. (2020). The Role of Extracellular Vesicles in the Hallmarks of Cancer and Drug Resistance. Cells. 9(5). 1141–1141. 129 indexed citations
6.
Montesinos, Pau, Juan Bergua, Jordi Esteve, et al.. (2019). Update on management and progress of novel therapeutics for R/R AML: an Iberian expert panel consensus. Annals of Hematology. 98(11). 2467–2483. 8 indexed citations
7.
Marini, Carolina, et al.. (2018). Real-life data on safety and efficacy of autologous stem cell transplantation in elderly patients with multiple myeloma. Annals of Hematology. 98(2). 369–379. 17 indexed citations
8.
Guimarães, José E., et al.. (2018). Pyoderma gangrenosum and erythema elevatum diutinum associated with a high-risk myelodysplastic syndrome: case report. Hematology Transfusion and Cell Therapy. 40(2). 192–195. 2 indexed citations
9.
Seca, Hugo, Raquel T. Lima, Gabriela M. Almeida, et al.. (2014). Effect of miR-128 in DNA Damage of HL-60 Acute Myeloid Leukemia Cells. Current Pharmaceutical Biotechnology. 15(5). 492–502. 21 indexed citations
10.
Guimarães, José E., et al.. (2014). Histiocitose de Largerhans no Adulto: Experiência de Dois Hospitais Portugueses. Acta Médica Portuguesa. 27(6). 726–730. 2 indexed citations
11.
Eloy, Catarina, et al.. (2013). Mucor Infection: Difficult Diagnosis. Clinical Drug Investigation. 33(S1). 19–21. 6 indexed citations
12.
Seca, Hugo, et al.. (2013). Targeting miR-21 Induces Autophagy and Chemosensitivity of Leukemia Cells. Current Drug Targets. 14(10). 1135–1143. 89 indexed citations
13.
Bergantim, Rui, et al.. (2013). Invasive Coinfection with Aspergillus and Mucor in a Patient with Acute Myeloid Leukemia. Clinical Drug Investigation. 33(S1). 51–55. 24 indexed citations
14.
Bergantim, Rui, et al.. (2012). Impact of tandem autologous stem cell transplantation and response to transplant in the outcome of multiple myeloma. Experimental Hematology and Oncology. 1(1). 35–35. 4 indexed citations
15.
Rodrigues, Pedro, et al.. (2010). Hypogonadotropic hypogonadism in POEMS syndrome - case report. 22. 1 indexed citations
16.
Araújo, Ricardo, et al.. (2008). Fungal infections after haematology unit renovation: evidence of clinical, environmental and economical impact. European Journal Of Haematology. 80(5). 436–443. 24 indexed citations
17.
Lima, Raquel T., José E. Guimarães, & M. Helena Vasconcelos. (2007). Overcoming K562Dox resistance to STI571 (Gleevec) by downregulation of P-gp expression using siRNAs. 9 indexed citations
18.
Lima, Raquel T., L. Miguel Martins, José E. Guimarães, Clara Sambade, & M. Helena Vasconcelos. (2004). Specific downregulation of bcl-2 and xIAP by RNAi enhances the effects of chemotherapeutic agents in MCF-7 human breast cancer cells. Cancer Gene Therapy. 11(5). 309–316. 156 indexed citations
19.
Vasconcelos, M. Helena, et al.. (2000). Limited synergistic effect of antisense oligonucleotides against bcr-abl and transferrin receptor mRNA in leukemic cells in culture. Cancer Letters. 152(2). 135–143. 22 indexed citations
20.
Leite, M. Fátima, et al.. (1999). Critical Evaluation of Techniques to Detect and Measure Cell Death – Study in a Model of UV Radiation of the Leukaemic Cell Line HL60. Analytical Cellular Pathology. 19(3-4). 139–151. 167 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 Ana B. Herrero Breakdown of academic impact, for papers by Jijun Cheng Breakdown of academic impact, for papers by Jaqueline Carvalho de Oliveira Breakdown of academic impact, for papers by Jessica Gasparello Breakdown of academic impact, for papers by Huadong Pei Breakdown of academic impact, for papers by Katelyn O’Neill Breakdown of academic impact, for papers by Bing Zheng Breakdown of academic impact, for papers by Wun‐Shaing Wayne Chang
Rankless by CCL
2026