Mara Mardare

522 citations
8 papers · 46 indexed · h-index 2
Topics
Pancreatic and Hepatic Oncology Research (1 paper)Radiomics and Machine Learning in Medical Imaging (1 paper)Liver Disease and Transplantation (1 paper)
Journals
SHILAP Revista de lepidopterologíaCancersFrontiers in Oncology
Partner nations
RomaniaGreece

In The Last Decade

Mara Mardare

3 papers receiving 46 citations

Peers

Mara Mardare
Comparison fields: 5 of 26
  • Cancer Research 26
  • Molecular Biology 14
  • Oncology 13
  • Radiology, Nuclear Medicine and Imaging 12
  • Artificial Intelligence 9
Replace Akisha Glasgow with:
Akisha Glasgow United States
Vincent Cockenpot France
Kyle Tien United States
Axel Gräwingholt Germany
Sarah P. Suehnholz United States
Samuel M. Rubinstein United States
Giovanna Sabarese Italy
Ana Bosch Campos Sweden
Boon Bee George Goh Singapore
Leonardo Ferreira United States
Mara Mardare relative to Akisha Glasgow United States Akisha Glasgow's profile →
Citations per field
00.5×1.5×2.2×
Akisha Glasgow · 1×
Citations per year

Countries citing papers authored by Mara Mardare

Since Specialization
Citations

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

Fields of papers citing papers by Mara Mardare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mara Mardare

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 0
6 44
7 0
8 0

About Mara Mardare

Mara Mardare is a scholar working on Surgery, Obstetrics and Gynecology and Hepatology, having authored 8 papers that have together received 46 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Health Informatics (8 citations), Cancer Research (26 citations) and Radiology, Nuclear Medicine and Imaging (12 citations). Mara Mardare has collaborated with scholars based in Romania and Greece. Frequent co-authors include Ariana Hudiță, Sergiu Emil Georgescu, Bianca Gălățeanu, Octav Ginghină, Cornelia Niţipir, Carolina Negrei, Alexandru Blidaru, Andrei Voiosu, Theodor Voiosu and Mihai Géorgescu. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancers and Frontiers in Oncology.

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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