Maria D. Lalioti
- Molecular Biology top 2%
- Genetics top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Immunology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Stylianos E. AntonarakisHamish S. ScottRichard A. FlavellGap Ryol LeeTerrence TownCharalampos G. SpilianakisColette RossierKristopher T. Kahle
- Topics
- Reproductive Biology and Fertility (17 papers)Genetics and Neurodevelopmental Disorders (11 papers)Ovarian function and disorders (10 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Maria D. Lalioti
55 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 2.7k
- Genetics 1.3k
- Endocrinology, Diabetes and Metabolism 880
- Immunology 695
- Public Health, Environmental and Occupational Health 428
Countries citing papers authored by Maria D. Lalioti
This map shows the geographic impact of Maria D. Lalioti'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 D. Lalioti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria D. Lalioti more than expected).
Fields of papers citing papers by Maria D. Lalioti
This network shows the impact of papers produced by Maria D. Lalioti. 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 D. Lalioti. The network helps show where Maria D. Lalioti may publish in the future.
Co-authorship network of co-authors of Maria D. Lalioti
This figure shows the co-authorship network connecting the top 25 collaborators of Maria D. Lalioti. A scholar is included among the top collaborators of Maria D. Lalioti 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 D. Lalioti. Maria D. Lalioti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 77 | |
| 3 | 27 | |
| 4 | 32 | |
| 5 | 30 | |
| 6 | 40 | |
| 7 | 20 | |
| 8 | 8 | |
| 9 | 38 | |
| 10 | 109 | |
| 11 | Interchromosomal associations between alternatively expressed locibreakdown → | 543 |
| 12 | 53 | |
| 13 | 3 | |
| 14 | 46 | |
| 15 | 37 | |
| 16 | 23 | |
| 17 | 52 | |
| 18 | 21 | |
| 19 | 257 | |
| 20 | 49 |
About Maria D. Lalioti
Maria D. Lalioti is a scholar working on Reproductive Medicine, Genetics and Public Health, Environmental and Occupational Health, having authored 56 papers that have together received 4.7k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (17 papers), Genetics and Neurodevelopmental Disorders (11 papers) and Ovarian function and disorders (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (880 citations), Genetics (1.3k citations) and Molecular Biology (2.7k citations). Maria D. Lalioti has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Stylianos E. Antonarakis, Hamish S. Scott, Richard A. Flavell, Gap Ryol Lee, Terrence Town, Charalampos G. Spilianakis, Colette Rossier, Kristopher T. Kahle, Richard P. Lifton and Frederick H. Wilson. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.
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.