Susanna‐Assunta Sansone
- Molecular Biology top 2%
- Artificial Intelligence top 0.5%
- Information Systems and Management top 0.5%
- Information Systems top 1%
- Spectroscopy top 2%
- Co-authors
- Philippe Rocca‐SerraPatricia L. WhetzelAlan RuttenbergNigam H. ShahEamonn MaguireChris MungallSuzanna LewisBarry Smith
- Topics
- Biomedical Text Mining and Ontologies (53 papers)Research Data Management Practices (29 papers)Scientific Computing and Data Management (29 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Susanna‐Assunta Sansone
100 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Molecular Biology 4.0k
- Artificial Intelligence 1.4k
- Information Systems and Management 760
- Information Systems 723
- Spectroscopy 384
Countries citing papers authored by Susanna‐Assunta Sansone
This map shows the geographic impact of Susanna‐Assunta Sansone'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 Susanna‐Assunta Sansone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanna‐Assunta Sansone more than expected).
Fields of papers citing papers by Susanna‐Assunta Sansone
This network shows the impact of papers produced by Susanna‐Assunta Sansone. 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 Susanna‐Assunta Sansone. The network helps show where Susanna‐Assunta Sansone may publish in the future.
Co-authorship network of co-authors of Susanna‐Assunta Sansone
This figure shows the co-authorship network connecting the top 25 collaborators of Susanna‐Assunta Sansone. A scholar is included among the top collaborators of Susanna‐Assunta Sansone 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 Susanna‐Assunta Sansone. Susanna‐Assunta Sansone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 51 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 81 | |
| 11 | 2 | |
| 12 | 130 | |
| 13 | 1 | |
| 14 | COPO â" Linked Open Infrastructure for Plant Data. | 1 |
| 15 | Modeling a Microbial Community and Biodiversity Assay with OBI and PCO OBO Foundry Ontologies: the Interoperability Gains of a Modular Approach. | 1 |
| 16 | MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-databreakdown → | 464 |
| 17 | 19 | |
| 18 | 171 | |
| 19 | 5 | |
| 20 | 58 |
About Susanna‐Assunta Sansone
Susanna‐Assunta Sansone is a scholar working on Information Systems and Management, Health Informatics and Information Systems, having authored 105 papers that have together received 5.3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (53 papers), Research Data Management Practices (29 papers) and Scientific Computing and Data Management (29 papers). The work is most often cited by research in Information Systems and Management (760 citations), Molecular Biology (4.0k citations) and Artificial Intelligence (1.4k citations). Susanna‐Assunta Sansone has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Philippe Rocca‐Serra, Patricia L. Whetzel, Alan Ruttenberg, Nigam H. Shah, Eamonn Maguire, Chris Mungall, Suzanna Lewis, Barry Smith, Richard H. Scheuermann and Amelia Ireland. Their work appears in journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.
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.