Francis C. Motta
- Molecular Biology
- Computational Mechanics
- Materials Chemistry
- Electrical and Electronic Engineering
- Public Health, Environmental and Occupational Health
- Co-authors
- R. Mark BradleyPatrick D. ShipmanSteven B. HaaseBree CumminsJohn HarerNorman C. WatersAnastasia DeckardJ. Kathleen Moch
- Topics
- Gene Regulatory Network Analysis (6 papers)Bioinformatics and Genomic Networks (5 papers)Topological and Geometric Data Analysis (4 papers)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Francis C. Motta
23 papers receiving 221 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 59
- Computational Mechanics 56
- Materials Chemistry 46
- Electrical and Electronic Engineering 45
- Public Health, Environmental and Occupational Health 35
Countries citing papers authored by Francis C. Motta
This map shows the geographic impact of Francis C. Motta'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 Francis C. Motta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis C. Motta more than expected).
Fields of papers citing papers by Francis C. Motta
This network shows the impact of papers produced by Francis C. Motta. 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 Francis C. Motta. The network helps show where Francis C. Motta may publish in the future.
Co-authorship network of co-authors of Francis C. Motta
This figure shows the co-authorship network connecting the top 25 collaborators of Francis C. Motta. A scholar is included among the top collaborators of Francis C. Motta 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 Francis C. Motta. Francis C. Motta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 22 | |
| 15 | 11 | |
| 16 | 0 | |
| 17 | 11 | |
| 18 | 22 | |
| 19 | [A vaccination campaign for gypsy children in Rome]. | 5 |
| 20 | [Health needs among the Gypsy population]. | 2 |
About Francis C. Motta
Francis C. Motta is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Algebra and Number Theory, having authored 26 papers that have together received 223 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Bioinformatics and Genomic Networks (5 papers) and Topological and Geometric Data Analysis (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (31 citations), Computational Mechanics (56 citations) and Aging (4 citations). Francis C. Motta has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include R. Mark Bradley, Patrick D. Shipman, Steven B. Haase, Bree Cummins, John Harer, Norman C. Waters, Anastasia Deckard, J. Kathleen Moch, Tomáš Gedeon and Daniel A. Pearson. Their work appears in journals such as Science, Nucleic Acids Research and Bioinformatics.
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.