Francisca Leite

838 total citations
14 papers, 551 citations indexed

About

Francisca Leite is a scholar working on Health Information Management, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Francisca Leite has authored 14 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Health Information Management, 3 papers in Epidemiology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Francisca Leite's work include Emergency and Acute Care Studies (3 papers), Advanced MRI Techniques and Applications (3 papers) and Chronic Disease Management Strategies (2 papers). Francisca Leite is often cited by papers focused on Emergency and Acute Care Studies (3 papers), Advanced MRI Techniques and Applications (3 papers) and Chronic Disease Management Strategies (2 papers). Francisca Leite collaborates with scholars based in Portugal, United States and Belgium. Francisca Leite's co-authors include Carlos Palos, Susana M. Vieira, Marta Fernandes, Stan N. Finkelstein, João M. C. Sousa, Joseph B. Mandeville, Wim Vanduffel, Denis Fize, Bruce R. Rosen and Yuka Sasaki and has published in prestigious journals such as PLoS ONE, NeuroImage and Magnetic Resonance in Medicine.

In The Last Decade

Francisca Leite

12 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francisca Leite Portugal 7 186 146 140 99 77 14 551
Wendong Ge United States 12 200 1.1× 27 0.2× 38 0.3× 105 1.1× 32 0.4× 30 447
Sardar Ansari United States 13 155 0.8× 59 0.4× 36 0.3× 70 0.7× 24 0.3× 56 661
Florence M. Aellen Switzerland 4 39 0.2× 93 0.6× 21 0.1× 108 1.1× 199 2.6× 9 442
Louis Mayaud France 14 202 1.1× 34 0.2× 10 0.1× 139 1.4× 43 0.6× 21 523
Ghada Zamzmi United States 16 54 0.3× 197 1.3× 13 0.1× 127 1.3× 49 0.6× 54 649
Eren Gultepe United States 7 138 0.7× 65 0.4× 10 0.1× 94 0.9× 9 0.1× 14 350
Sharief Taraman United States 10 138 0.7× 21 0.1× 29 0.2× 22 0.2× 26 0.3× 27 358
Adrienne Kline Canada 8 63 0.3× 53 0.4× 6 0.0× 100 1.0× 46 0.6× 20 415
Ali Shuaib Kuwait 9 27 0.1× 52 0.4× 55 0.4× 23 0.2× 53 0.7× 25 272
Sorayya Rezayi Iran 12 41 0.2× 132 0.9× 10 0.1× 180 1.8× 37 0.5× 45 659

Countries citing papers authored by Francisca Leite

Since Specialization
Citations

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

Fields of papers citing papers by Francisca Leite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisca Leite

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

All Works

14 of 14 papers shown
1.
Santos, José, Ricardo Ladeiras‐Lopes, Francisca Leite, & Hélder Dores. (2025). Applications of large language models in cardiovascular disease: a systematic review. European Heart Journal - Digital Health. 6(4). 540–553. 1 indexed citations
2.
Neves, Bernardo, et al.. (2025). Zero-shot learning for clinical phenotyping: Comparing LLMs and rule-based methods. Computers in Biology and Medicine. 192(Pt A). 110181–110181.
3.
Martins, Catarina, et al.. (2024). Identifying subgroups in heart failure patients with multimorbidity by clustering and network analysis. BMC Medical Informatics and Decision Making. 24(1). 95–95. 3 indexed citations
4.
Vale, M.L., Francisca Leite, & Catarina Madeira. (2023). Risk Management in Clinical Trials: Assessment of Current Practices at Portuguese Clinical Trial Sites. Risk Management and Healthcare Policy. Volume 16. 2187–2196.
5.
Neves, Bernardo, Hugo V. Pereira, Filipe Ferreira da Costa, et al.. (2023). Impact of a wearable-based physical activity and sleep intervention in multimorbidity patients: protocol for a randomized controlled trial. BMC Geriatrics. 23(1). 853–853. 2 indexed citations
6.
Silva, Daniel, et al.. (2021). Augmenting the training space of an epidural needle insertion simulator with HoloLens. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 10(3). 260–265. 5 indexed citations
7.
Fernandes, Marta, Susana M. Vieira, Francisca Leite, et al.. (2020). Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing. PLoS ONE. 15(3). e0229331–e0229331. 53 indexed citations
8.
Leite, Francisca, et al.. (2020). PIÑATA: Pinpoint insertion of intravenous needles via augmented reality training assistance. Computerized Medical Imaging and Graphics. 82. 101731–101731. 16 indexed citations
9.
Fernandes, Marta, Susana M. Vieira, Francisca Leite, et al.. (2020). Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing. PLoS ONE. 15(4). e0230876–e0230876. 34 indexed citations
10.
Fernandes, Marta, Susana M. Vieira, Francisca Leite, et al.. (2019). Clinical Decision Support Systems for Triage in the Emergency Department using Intelligent Systems: a Review. Artificial Intelligence in Medicine. 102. 101762–101762. 188 indexed citations
11.
Mandeville, Joseph B., Francisca Leite, & John J.A. Marota. (2007). Spin‐echo MRI underestimates functional changes in microvascular cerebral blood plasma volume using exogenous contrast agent. Magnetic Resonance in Medicine. 58(4). 769–776. 9 indexed citations
12.
Leite, Francisca, et al.. (2005). Characterization of event-related designs using BOLD and IRON fMRI. NeuroImage. 29(3). 901–909. 15 indexed citations
13.
Leite, Francisca, Doris Y. Tsao, Wim Vanduffel, et al.. (2002). Repeated fMRI Using Iron Oxide Contrast Agent in Awake, Behaving Macaques at 3 Tesla. NeuroImage. 16(2). 283–294. 224 indexed citations
14.
Tsao, Doris Y., Yuka Sasaki, Francisca Leite, et al.. (2001). fMRI reveals face selective activity in awake behaving macaque. 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.

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