Lisiane Pruinelli

1.9k total citations
88 papers, 1.1k citations indexed

About

Lisiane Pruinelli is a scholar working on Issues, ethics and legal aspects, Health Information Management and General Health Professions. According to data from OpenAlex, Lisiane Pruinelli has authored 88 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Issues, ethics and legal aspects, 28 papers in Health Information Management and 20 papers in General Health Professions. Recurrent topics in Lisiane Pruinelli's work include Nursing Diagnosis and Documentation (30 papers), Electronic Health Records Systems (21 papers) and Mobile Health and mHealth Applications (9 papers). Lisiane Pruinelli is often cited by papers focused on Nursing Diagnosis and Documentation (30 papers), Electronic Health Records Systems (21 papers) and Mobile Health and mHealth Applications (9 papers). Lisiane Pruinelli collaborates with scholars based in United States, Brazil and Finland. Lisiane Pruinelli's co-authors include Maxim Topaz, Laura‐Maria Peltonen, Charlene Ronquillo, Bonnie L. Westra, Connie W Delaney, Martin Michalowski, György Simon, Charlene H. Chu, Michael Steinbach and Pranjul Yadav and has published in prestigious journals such as SHILAP Revista de lepidopterología, Critical Care Medicine and Journal of Affective Disorders.

In The Last Decade

Lisiane Pruinelli

79 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisiane Pruinelli United States 16 369 270 233 210 205 88 1.1k
Kenrick Cato United States 22 324 0.9× 462 1.7× 668 2.9× 352 1.7× 276 1.3× 125 2.0k
Nicholas R. Hardiker United Kingdom 20 152 0.4× 443 1.6× 444 1.9× 264 1.3× 447 2.2× 76 1.4k
Sarah Collins Rossetti United States 17 141 0.4× 290 1.1× 203 0.9× 162 0.8× 134 0.7× 64 820
Charlene Ronquillo Canada 12 298 0.8× 161 0.6× 229 1.0× 142 0.7× 95 0.5× 47 837
Amanda Terry Canada 22 242 0.7× 480 1.8× 484 2.1× 281 1.3× 29 0.1× 89 1.4k
Joanna Abraham United States 20 102 0.3× 264 1.0× 295 1.3× 115 0.5× 56 0.3× 87 1.5k
Jessica Schwartz United States 13 95 0.3× 169 0.6× 114 0.5× 146 0.7× 82 0.4× 27 558
A Jay Holmgren United States 23 139 0.4× 645 2.4× 589 2.5× 422 2.0× 36 0.2× 79 1.8k
Shilo Anders United States 20 80 0.2× 396 1.5× 373 1.6× 224 1.1× 47 0.2× 79 1.5k
Ming Tai-Seale United States 20 169 0.5× 387 1.4× 909 3.9× 497 2.4× 32 0.2× 51 1.8k

Countries citing papers authored by Lisiane Pruinelli

Since Specialization
Citations

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

Fields of papers citing papers by Lisiane Pruinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisiane Pruinelli

This figure shows the co-authorship network connecting the top 25 collaborators of Lisiane Pruinelli. A scholar is included among the top collaborators of Lisiane Pruinelli 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 Lisiane Pruinelli. Lisiane Pruinelli 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.
Ulrich, Connie M., et al.. (2026). What Does Moral Agency Mean for Nurses in the Era of Artificial Intelligence?. The Hastings Center Report. 56(1). 18–23.
2.
Pruinelli, Lisiane, Sisi Ma, Zhigang Li, et al.. (2025). Transforming liver transplant allocation with artificial intelligence and machine learning: a systematic review. BMC Medical Informatics and Decision Making. 25(1). 98–98. 3 indexed citations
3.
Gosak, Lucija, Lisiane Pruinelli, Maxim Topaz, & Gregor Štiglic. (2024). The ChatGPT effect and transforming nursing education with generative AI: Discussion paper. Nurse Education in Practice. 75. 103888–103888. 42 indexed citations
4.
Simon, György, et al.. (2024). Machine learning for post-liver transplant survival: Bridging the gap for long-term outcomes through temporal variation features. Computer Methods and Programs in Biomedicine. 257. 108442–108442. 1 indexed citations
5.
Gerich, Hanna von, et al.. (2024). Towards Automated Evaluation of Patient Centered Care–Assessing the Potential of Electronic Health Records. Studies in health technology and informatics. 310. 344–348.
6.
Menzies, Victoria, et al.. (2024). Anxiety and depression among individuals with long COVID: Associations with social vulnerabilities. Journal of Affective Disorders. 367. 286–296. 1 indexed citations
7.
Pruinelli, Lisiane, et al.. (2024). A systematic review of candidate genes and their relevant pathways for metastasis among adults diagnosed with breast cancer. Breast Cancer Research. 26(1). 165–165. 1 indexed citations
8.
Pruinelli, Lisiane, et al.. (2023). 2023 Nursing Knowledge Big Data Science Conference. CIN Computers Informatics Nursing. 41(11). 851–852. 1 indexed citations
9.
Almeida, Míriam de Abreu, et al.. (2021). Diagnósticos de enfermagem prevalentes de pacientes em cuidados paliativos: uma mineração de dados. Research Society and Development. 10(17). e217101724725–e217101724725.
10.
Almeida, Míriam de Abreu, et al.. (2021). Development of a nursing diagnosis educational software program. Revista gaúcha de enfermagem. 42. e20190283–e20190283. 5 indexed citations
11.
Ronquillo, Charlene, Laura‐Maria Peltonen, Lisiane Pruinelli, et al.. (2021). Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative. Journal of Advanced Nursing. 77(9). 3707–3717. 206 indexed citations
12.
Pruinelli, Lisiane, et al.. (2020). An Applied Healthcare Data Science Roadmap for Nursing Leaders. CIN Computers Informatics Nursing. 38(10). 484–489. 5 indexed citations
13.
Pruinelli, Lisiane, et al.. (2019). Incidence of Falls in a General Hospital in Southern Brazil. Studies in health technology and informatics. 264. 1741–1742. 1 indexed citations
14.
Topaz, Maxim & Lisiane Pruinelli. (2017). Big Data and Nursing: Implications for the Future. Studies in health technology and informatics. 232. 165–171. 31 indexed citations
15.
Pruinelli, Lisiane, Amália de Fátima Lucena, & Karen A. Monsen. (2016). Empirical Evaluation of International Health System Data Interoperability: Mapping the Wanda Horta Theory to the Omaha System Ontology. Research and theory for nursing practice. 30(3). 229–241. 4 indexed citations
16.
Westra, Bonnie L., Martha L. Sylvia, Elizabeth Weinfurter, et al.. (2016). Big data science: A literature review of nursing research exemplars. Nursing Outlook. 65(5). 549–561. 42 indexed citations
17.
Caspers, Barbara A., et al.. (2015). Sharable and Comparable Data for Nursing Management. Nursing Administration Quarterly. 39(4). 297–303. 3 indexed citations
18.
Topaz, Maxim, Charlene Ronquillo, Lisiane Pruinelli, et al.. (2015). Central Trends in Nursing Informatics. CIN Computers Informatics Nursing. 33(3). 85–89. 1 indexed citations
19.
Pruinelli, Lisiane, Pranjul Yadav, Sanjoy Kumer Dey, et al.. (2015). Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities.. AMIA. 1 indexed citations
20.
Pruinelli, Lisiane, Sanjoy Kumer Dey, György Simon, et al.. (2014). Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities.. AMIA. 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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