Maria Mavromati

19 papers receiving 441 citations

Peers

Maria Mavromati
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 219
  • Molecular Biology 150
  • Physiology 56
  • Surgery 47
  • Biomedical Engineering 44
Replace Maria Teresa De Síbio with:
Maria Teresa De Síbio Brazil
Hak‐Joong Kim United States
Weiheng Wen China
Cristina Tortoioli Italy
Xiaolong Zhao China
Cuixia Gao China
Monica De Paoli Canada
Zi Guo China
Guang Wang China
Wei Shan China
Maria Mavromati relative to Maria Teresa De Síbio Brazil Maria Teresa De Síbio's profile →
Citations per field
00.5×1.5×2.4×
Maria Teresa De Síbio · 1×
Citations per year

Countries citing papers authored by Maria Mavromati

Since Specialization
Citations

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

Fields of papers citing papers by Maria Mavromati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Mavromati

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Mavromati. A scholar is included among the top collaborators of Maria Mavromati 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 Maria Mavromati. Maria Mavromati 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
#WorkIndexed citations
1 4
2 0
3 2
4 0
5 0
6 7
7 7
8 0
9 10
10 1
11 2
12
[Endocrinopathies induced by immune checkpoint inhibitors].
1
13 24
14 0
15 114
16 2
17
[Polycystic ovaries: what's news in 2015?].
1
18 31
19 82
20 28

About Maria Mavromati

Maria Mavromati is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Surgery, having authored 25 papers that have together received 444 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (8 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (219 citations), Endocrine and Autonomic Systems (27 citations) and Molecular Biology (150 citations). Maria Mavromati has collaborated with scholars based in Switzerland, Greece and United States. Frequent co-authors include François R. Jornayvaz, Marc Pusztaszeri, Ildikó Szántó, Philippe Chanson, Anna Makri, George Aggelis, Stylianos Fakas, Jacques Young, Sylvie Brailly‐Tabard and Marie‐Liesse Piketty. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Bioresource Technology and International Journal of Molecular Sciences.

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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