Maryann E. Martone
- Molecular Biology top 0.5%
- Cellular and Molecular Neuroscience top 0.2%
- Cognitive Neuroscience top 1%
- Cardiology and Cardiovascular Medicine top 1%
- Neurology top 0.5%
- Co-authors
- Mark H. EllismanYing JonesEric A. BushongThomas J. DeerinckBingren HuNelson ButtersAmarnath GuptaAnita Bandrowski
- Topics
- Biomedical Text Mining and Ontologies (62 papers)Scientific Computing and Data Management (41 papers)Cell Image Analysis Techniques (40 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Maryann E. Martone
218 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Molecular Biology 6.0k
- Cellular and Molecular Neuroscience 4.1k
- Cognitive Neuroscience 1.7k
- Cardiology and Cardiovascular Medicine 1.4k
- Neurology 1.3k
Countries citing papers authored by Maryann E. Martone
This map shows the geographic impact of Maryann E. Martone'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 Maryann E. Martone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryann E. Martone more than expected).
Fields of papers citing papers by Maryann E. Martone
This network shows the impact of papers produced by Maryann E. Martone. 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 Maryann E. Martone. The network helps show where Maryann E. Martone may publish in the future.
Co-authorship network of co-authors of Maryann E. Martone
This figure shows the co-authorship network connecting the top 25 collaborators of Maryann E. Martone. A scholar is included among the top collaborators of Maryann E. Martone 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 Maryann E. Martone. Maryann E. Martone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 18 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 41 | |
| 10 | 9 | |
| 11 | The TRUST Principles for digital repositoriesbreakdown → | 189 |
| 12 | 1 | |
| 13 | Proceedings of the 2nd International Conference on Biomedical Ontology, Buffalo, NY, USA, July 26-30, 2011 | 1 |
| 14 | NIFSTD and NeuroLex: Comprehensive Neuroscience Ontology Development Based on Multiple Biomedical Ontologies and Community Involvement. | 5 |
| 15 | 194 | |
| 16 | Rule-Based Reasoning With A Multi-Scale Neuroanatomical Ontology. | 5 |
| 17 | 448 | |
| 18 | An Ontology-Driven Knowledge Environment For Subcellular Neuroanatomy. | 6 |
| 19 | 9 | |
| 20 | Registering Scientific Information Sources for Semantic Mediation | 2 |
About Maryann E. Martone
Maryann E. Martone is a scholar working on Structural Biology, Biophysics and Information Systems and Management, having authored 230 papers that have together received 12.2k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (62 papers), Scientific Computing and Data Management (41 papers) and Cell Image Analysis Techniques (40 papers). The work is most often cited by research in Structural Biology (461 citations), Developmental Neuroscience (1.1k citations) and Cellular and Molecular Neuroscience (4.1k citations). Maryann E. Martone has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Mark H. Ellisman, Ying Jones, Eric A. Bushong, Thomas J. Deerinck, Bingren Hu, Nelson Butters, Amarnath Gupta, Anita Bandrowski, Eric Granholm and Jessica Wolfe. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of 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.