Ingrid-Andrada Vasilache

562 total citations
53 papers, 298 citations indexed

About

Ingrid-Andrada Vasilache is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, Ingrid-Andrada Vasilache has authored 53 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Obstetrics and Gynecology, 17 papers in Pediatrics, Perinatology and Child Health and 16 papers in Epidemiology. Recurrent topics in Ingrid-Andrada Vasilache's work include Pregnancy and preeclampsia studies (12 papers), Maternal and fetal healthcare (7 papers) and COVID-19 Impact on Reproduction (6 papers). Ingrid-Andrada Vasilache is often cited by papers focused on Pregnancy and preeclampsia studies (12 papers), Maternal and fetal healthcare (7 papers) and COVID-19 Impact on Reproduction (6 papers). Ingrid-Andrada Vasilache collaborates with scholars based in Romania, Germany and Denmark. Ingrid-Andrada Vasilache's co-authors include Demetra Socolov, Alexandru Cărăuleanu, Dragoş Nemescu, Ana-Maria Adam, Aurel Nechita, Dan Năvolan, Roxana Elena Bohîlțea, Dragoş Viorel Scripcariu, Constantin Volovăț and Cornelia Mircea and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and International Journal of Environmental Research and Public Health.

In The Last Decade

Ingrid-Andrada Vasilache

48 papers receiving 297 citations

Peers

Ingrid-Andrada Vasilache
Tanvi Shah United States
Ingrid-Andrada Vasilache
Citations per year, relative to Ingrid-Andrada Vasilache Ingrid-Andrada Vasilache (= 1×) peers Tanvi Shah

Countries citing papers authored by Ingrid-Andrada Vasilache

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid-Andrada Vasilache

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ingrid-Andrada Vasilache. 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 Ingrid-Andrada Vasilache. The network helps show where Ingrid-Andrada Vasilache may publish in the future.

Co-authorship network of co-authors of Ingrid-Andrada Vasilache

This figure shows the co-authorship network connecting the top 25 collaborators of Ingrid-Andrada Vasilache. A scholar is included among the top collaborators of Ingrid-Andrada Vasilache 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 Ingrid-Andrada Vasilache. Ingrid-Andrada Vasilache 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
3.
Vasilache, Ingrid-Andrada, et al.. (2024). Predicting Intra- and Postpartum Hemorrhage through Artificial Intelligence. Medicina. 60(10). 1604–1604. 2 indexed citations
4.
Vasilache, Ingrid-Andrada, et al.. (2024). Double-J Ureteral Stenting in Obstetrics and Gynecology: Pivotal or Problematic?. Journal of Clinical Medicine. 13(24). 7649–7649.
5.
Vasilache, Ingrid-Andrada, Bogdan Doroftei, Alexandru Cărăuleanu, et al.. (2024). Prediction of Intrauterine Growth Restriction and Preeclampsia Using Machine Learning-Based Algorithms: A Prospective Study. Diagnostics. 14(4). 453–453. 11 indexed citations
9.
Anton, Gabriele, Liliana Gheorghe, Ingrid-Andrada Vasilache, et al.. (2024). Multidrug-Resistant Urinary Tract Infections in Pregnant Patients and Their Association with Adverse Pregnancy Outcomes—A Retrospective Study. Journal of Clinical Medicine. 13(22). 6664–6664. 5 indexed citations
10.
11.
Vasilache, Ingrid-Andrada, et al.. (2023). Prediction of HELLP Syndrome Severity Using Machine Learning Algorithms—Results from a Retrospective Study. Diagnostics. 13(2). 287–287. 9 indexed citations
12.
Adam, Ana-Maria, Cristina Popa, Demetra Socolov, et al.. (2023). Pregnancy Outcomes, Immunophenotyping and Immunohistochemical Findings in a Cohort of Pregnant Patients with COVID-19—A Prospective Study. Diagnostics. 13(7). 1345–1345. 9 indexed citations
13.
Vasilache, Ingrid-Andrada, et al.. (2023). Predictive Performance of Machine Learning-Based Methods for the Prediction of Preeclampsia—A Prospective Study. Journal of Clinical Medicine. 12(2). 418–418. 20 indexed citations
14.
Vasilache, Ingrid-Andrada, et al.. (2023). Factors Associated with Increased Risk of Urosepsis during Pregnancy and Treatment Outcomes, in a Urology Clinic. Medicina. 59(11). 1972–1972. 7 indexed citations
15.
Adam, Ana-Maria, Dragoş Nemescu, Demetra Socolov, et al.. (2023). Hematologic Risk Factors for the Development of Retinopathy of Prematurity—A Retrospective Study. Children. 10(3). 567–567. 6 indexed citations
16.
Adam, Ana-Maria, et al.. (2022). Risk Factors Associated with Severe Disease and Intensive Care Unit Admission of Pregnant Patients with COVID-19 Infection—A Retrospective Study. Journal of Clinical Medicine. 11(20). 6055–6055. 5 indexed citations
17.
Vasilache, Ingrid-Andrada, et al.. (2022). Neonatal Cerebral Sinovenous Thrombosis and the Main Perinatal Risk Factors—A Retrospective Unicentric Study. Children. 9(8). 1182–1182. 8 indexed citations
20.
Brzeziński, Piotr, et al.. (2022). A Multicenter Cohort Study Evaluating the Teratogenic Effects of Isotretinoin on Neonates. Children. 9(11). 1612–1612. 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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