Isabel Ramos

2.7k total citations
91 papers, 1.8k citations indexed

About

Isabel Ramos is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Isabel Ramos has authored 91 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Surgery and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Isabel Ramos's work include Radiomics and Machine Learning in Medical Imaging (15 papers), AI in cancer detection (12 papers) and Lung Cancer Diagnosis and Treatment (10 papers). Isabel Ramos is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), AI in cancer detection (12 papers) and Lung Cancer Diagnosis and Treatment (10 papers). Isabel Ramos collaborates with scholars based in Portugal, United States and Spain. Isabel Ramos's co-authors include Steven S. Morse, António J. Madureira, Sofia Brandão, Kenneth J. W. Taylor, Daniel P. Snower, Luísa Nogueira, Karen J. Taylor, José Miguel Pereira, Miguel Guevara and Rita G. Nunes and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Isabel Ramos

82 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabel Ramos Portugal 25 586 432 289 239 230 91 1.8k
Gianpaolo Carrafiello Italy 24 392 0.7× 401 0.9× 537 1.9× 125 0.5× 194 0.8× 103 1.8k
Sanjay Aneja United States 23 707 1.2× 325 0.8× 406 1.4× 112 0.5× 267 1.2× 95 2.4k
Hitoshi Yoshimura Japan 23 333 0.6× 616 1.4× 433 1.5× 209 0.9× 110 0.5× 190 2.1k
Taro Shimono Japan 22 393 0.7× 554 1.3× 258 0.9× 81 0.3× 90 0.4× 86 1.8k
Rajagopal Kadavigere India 20 408 0.7× 379 0.9× 188 0.7× 178 0.7× 60 0.3× 133 1.4k
Keno K. Bressem Germany 26 785 1.3× 145 0.3× 224 0.8× 145 0.6× 427 1.9× 109 1.8k
Chui‐Mei Tiu Taiwan 23 401 0.7× 645 1.5× 344 1.2× 95 0.4× 368 1.6× 121 1.6k
Marius George Linguraru United States 26 853 1.5× 268 0.6× 259 0.9× 148 0.6× 440 1.9× 209 2.3k
Marco Ravanelli Italy 22 563 1.0× 579 1.3× 346 1.2× 73 0.3× 96 0.4× 105 1.5k
Kazuo Ohtsuka Japan 35 399 0.7× 1.1k 2.5× 641 2.2× 272 1.1× 129 0.6× 142 4.4k

Countries citing papers authored by Isabel Ramos

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Ramos

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Ramos. A scholar is included among the top collaborators of Isabel Ramos 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 Isabel Ramos. Isabel Ramos 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.
Pereira, Tânia, Francisco Silva, Joana Morgado, et al.. (2022). Lung CT image synthesis using GANs. Expert Systems with Applications. 215. 119350–119350. 26 indexed citations
2.
Silva, Francisco, Tânia Pereira, Joana Morgado, et al.. (2022). Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges. Journal of Personalized Medicine. 12(3). 480–480. 32 indexed citations
3.
Pereira, Tânia, Joana Morgado, Francisco Silva, et al.. (2022). Multiple instance learning for lung pathophysiological findings detection using CT scans. Medical & Biological Engineering & Computing. 60(6). 1569–1584. 6 indexed citations
4.
Pereira, Tânia, Joana Morgado, Francisco Silva, et al.. (2021). Sharing Biomedical Data: Strengthening AI Development in Healthcare. Healthcare. 9(7). 827–827. 31 indexed citations
5.
Morgado, Joana, Tânia Pereira, Francisco Silva, et al.. (2021). Machine Learning and Feature Selection Methods for EGFR Mutation Status Prediction in Lung Cancer. Applied Sciences. 11(7). 3273–3273. 27 indexed citations
6.
Pereira, Tânia, Cláudia Freitas, José Luís Costa, et al.. (2020). Comprehensive Perspective for Lung Cancer Characterisation Based on AI Solutions Using CT Images. Journal of Clinical Medicine. 10(1). 118–118. 18 indexed citations
7.
Ramos, Isabel, et al.. (2020). Mycobacterium chimaera Disseminated Infection. Journal of Medical Cases. 11(2). 35–36. 5 indexed citations
8.
Felipe‐Medina, Natalia, Laura Gómez-H, Manuel Sánchez‐Martín, et al.. (2019). Ubiquitin-specific protease 26 (USP26) is not essential for mouse gametogenesis and fertility. Chromosoma. 128(3). 237–247. 16 indexed citations
9.
Gómez-H, Laura, Natalia Felipe‐Medina, Isabel Ramos, et al.. (2019). The PSMA8 subunit of the spermatoproteasome is essential for proper meiotic exit and mouse fertility. PLoS Genetics. 15(8). e1008316–e1008316. 42 indexed citations
10.
Bernardes, Miguel, Cecília Durães, António Oliveira, et al.. (2018). LRP5 gene polymorphisms and radiographic joint damage in rheumatoid arthritis patients. Osteoporosis International. 29(10). 2355–2368. 6 indexed citations
11.
Brandão, Sofia, et al.. (2015). Modeling the contraction of the pelvic floor muscles. Computer Methods in Biomechanics & Biomedical Engineering. 19(4). 347–356. 18 indexed citations
12.
Seixas, Daniela, Peter Foley, Jackie Palace, et al.. (2014). Pain in multiple sclerosis: A systematic review of neuroimaging studies. NeuroImage Clinical. 5. 322–331. 44 indexed citations
13.
Guevara, Miguel, et al.. (2013). Improving the breast cancer diagnosis using digital repositories. 571–578. 1 indexed citations
14.
Ventura, Sandra M. Rua, Diamantino Freitas, Isabel Ramos, & João Manuel R. S. Tavares. (2010). Utilização da Imagem por Ressonância Magnética nos Estudos sobre a Produção da Fala. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 5. 1 indexed citations
15.
Pinto, Pedro Viana, et al.. (2005). Genitourinary tuberculosis. European Journal of Radiology. 55(2). 181–187. 39 indexed citations
16.
Guimarães, Hercília, Laura Castelo, Ana C. Almeida, et al.. (1998). Does umbilical vein catheterization to exchange transfusion lead to portal vein thrombosis?. European Journal of Pediatrics. 157(6). 461–463. 25 indexed citations
17.
Cunha, Saraiva da, Eugénia Ferreira, Isabel Ramos, et al.. (1994). Cerebral toxoplasmosis after renal transplantation. Case report and review.. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Cunha, Saraiva da, Elisa Napolitano Ferreira, Isabel Ramos, et al.. (1993). Toxoplasmose cerebral em transplantado renal. Caso clínico e revisão da literatura.. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Kier, Ruben, et al.. (1990). Renal masses: characterization with Doppler US.. Radiology. 176(3). 703–707. 42 indexed citations
20.
Ramos, Isabel, et al.. (1977). [Dysplasia of the renal artery].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 145(4). 311–4. 1 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 Gianpaolo Carrafiello Breakdown of academic impact, for papers by Sanjay Aneja Breakdown of academic impact, for papers by Hitoshi Yoshimura Breakdown of academic impact, for papers by Taro Shimono Breakdown of academic impact, for papers by Rajagopal Kadavigere Breakdown of academic impact, for papers by Keno K. Bressem Breakdown of academic impact, for papers by Chui‐Mei Tiu Breakdown of academic impact, for papers by Marius George Linguraru Breakdown of academic impact, for papers by Marco Ravanelli Breakdown of academic impact, for papers by Kazuo Ohtsuka
Rankless by CCL
2026