Maria C. A. Leite
- Public Health, Environmental and Occupational Health
- Modeling and Simulation top 5%
- Computer Networks and Communications top 10%
- Molecular Biology
- Genetics
- Co-authors
- Folashade B. AgustoMartin GolubitskyJorge X. Velasco‐HernándezZhilan FengManuela AguiarAna Paula S. DiasBenito M. Chen‐CharpentierMatthew J. Smith
- Topics
- Gene Regulatory Network Analysis (6 papers)Ecology and Vegetation Dynamics Studies (4 papers)Mathematical and Theoretical Epidemiology and Ecology Models (4 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Maria C. A. Leite
23 papers receiving 341 citations
Peers
Comparison fields: 5 of 91
- Public Health, Environmental and Occupational Health 106
- Modeling and Simulation 85
- Computer Networks and Communications 80
- Molecular Biology 79
- Genetics 62
Countries citing papers authored by Maria C. A. Leite
This map shows the geographic impact of Maria C. A. Leite'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 C. A. Leite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria C. A. Leite more than expected).
Fields of papers citing papers by Maria C. A. Leite
This network shows the impact of papers produced by Maria C. A. Leite. 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 C. A. Leite. The network helps show where Maria C. A. Leite may publish in the future.
Co-authorship network of co-authors of Maria C. A. Leite
This figure shows the co-authorship network connecting the top 25 collaborators of Maria C. A. Leite. A scholar is included among the top collaborators of Maria C. A. Leite 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 C. A. Leite. Maria C. A. Leite is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 32 | |
| 7 | 1 | |
| 8 | 46 | |
| 9 | 15 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 58 | |
| 15 | 11 | |
| 16 | 62 | |
| 17 | 4 | |
| 18 | 13 | |
| 19 | 38 | |
| 20 | 43 |
About Maria C. A. Leite
Maria C. A. Leite is a scholar working on Horticulture, Modeling and Simulation and Biophysics, having authored 23 papers that have together received 358 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Ecology and Vegetation Dynamics Studies (4 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). The work is most often cited by research in Modeling and Simulation (85 citations), Soil Science (47 citations) and Public Health, Environmental and Occupational Health (106 citations). Maria C. A. Leite has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Folashade B. Agusto, Martin Golubitsky, Jorge X. Velasco‐Hernández, Zhilan Feng, Manuela Aguiar, Ana Paula S. Dias, Benito M. Chen‐Charpentier, Matthew J. Smith, Forrest M. Hoffman and Ying‐Ping Wang. Their work appears in journals such as PLoS ONE, Scientific Reports and Ecological Modelling.
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.