Mario Fonseca
- Developmental Neuroscience top 10%
- Obstetrics and Gynecology top 10%
- Gestational Diabetes Research and Management 4
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- Birth, Development, and Health 5
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- Zebrafish Biomedical Research Applications 2
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- Adipose Tissue and Metabolism 3
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- Retinal Development and Disorders 2
- Epigenetics and DNA Methylation 2
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- Cell Adhesion Molecules Research 2
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- Adipokines, Inflammation, and Metabolic Diseases 1
- Co-authors
- David D. EisenstatVernon W. DolinskyChristine A. DoucetteGrant M. HatchLaura ColeJeffrey T. WigleJimmy de MeloTroy J. Pereira
- Cited by
- Developmental NeuroscienceObstetrics and GynecologyPediatrics, Perinatology and Child Health
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (1 paper)Development (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Mario Fonseca
13 papers receiving 376 citations
Peers
Comparison fields: 5 of 65
- Developmental Neuroscience 48
- Obstetrics and Gynecology 75
- Pediatrics, Perinatology and Child Health 88
- Cellular and Molecular Neuroscience 58
- Cell Biology 49
Countries citing papers authored by Mario Fonseca
This map shows the geographic impact of Mario Fonseca'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 Mario Fonseca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Fonseca more than expected).
Fields of papers citing papers by Mario Fonseca
This network shows the impact of papers produced by Mario Fonseca. 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 Mario Fonseca. The network helps show where Mario Fonseca may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario Fonseca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2022 | 22 | |
| 3 | 2022 | 7 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 12 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 35 | |
| 8 | 2015 | 73 | |
| 9 | 2007 | 19 | |
| 10 | 2007 | 57 | |
| 11 | 2005 | 53 | |
| 12 | 2004 | 65 | |
| 13 | 1998 | 4 |
About Mario Fonseca
Mario Fonseca is a scholar working on Obstetrics and Gynecology, Immunology and Allergy and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 384 indexed citations. Recurring topics across this work include Birth, Development, and Health (5 papers), Gestational Diabetes Research and Management (4 papers), Adipose Tissue and Metabolism (3 papers), Retinal Development and Disorders (2 papers), Epigenetics and DNA Methylation (2 papers), Cell Adhesion Molecules Research (2 papers), Zebrafish Biomedical Research Applications (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). The work is most often cited by research in Developmental Neuroscience (48 citations), Obstetrics and Gynecology (75 citations) and Pediatrics, Perinatology and Child Health (88 citations). Mario Fonseca has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include David D. Eisenstat, Vernon W. Dolinsky, Christine A. Doucette, Grant M. Hatch, Laura Cole, Jeffrey T. Wigle, Jimmy de Melo, Troy J. Pereira, Julianne Klein and Trung Le. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Development.
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.