Inmaculada Spiteri
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Genetics top 1%
- Oncology top 5%
- Genetics top 10%
- Co-authors
- Simon TavaréAndrea SottorivaChristina CurtisCarlos CaldasJohn C. MarioniSara PiccirilloColin WattsAnestis Touloumis
- Topics
- Cancer Genomics and Diagnostics (12 papers)Glioma Diagnosis and Treatment (6 papers)MicroRNA in disease regulation (6 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Inmaculada Spiteri
29 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 2.6k
- Cancer Research 2.2k
- Genetics 845
- Oncology 616
- Genetics 330
Countries citing papers authored by Inmaculada Spiteri
This map shows the geographic impact of Inmaculada Spiteri'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 Inmaculada Spiteri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inmaculada Spiteri more than expected).
Fields of papers citing papers by Inmaculada Spiteri
This network shows the impact of papers produced by Inmaculada Spiteri. 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 Inmaculada Spiteri. The network helps show where Inmaculada Spiteri may publish in the future.
Co-authorship network of co-authors of Inmaculada Spiteri
This figure shows the co-authorship network connecting the top 25 collaborators of Inmaculada Spiteri. A scholar is included among the top collaborators of Inmaculada Spiteri 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 Inmaculada Spiteri. Inmaculada Spiteri 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 | 36 | |
| 3 | 33 | |
| 4 | 25 | |
| 5 | 70 | |
| 6 | 45 | |
| 7 | 81 | |
| 8 | 10 | |
| 9 | 43 | |
| 10 | Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamicsbreakdown → | 1231 |
| 11 | 50 | |
| 12 | 120 | |
| 13 | 26 | |
| 14 | 76 | |
| 15 | 22 | |
| 16 | Genetic Unmasking of an Epigenetically Silenced microRNA in Human Cancer Cellsbreakdown → | 729 |
| 17 | 10 | |
| 18 | MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtypebreakdown → | 750 |
| 19 | 20 | |
| 20 | 85 |
About Inmaculada Spiteri
Inmaculada Spiteri is a scholar working on Cancer Research, Genetics and Dermatology, having authored 30 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (12 papers), Glioma Diagnosis and Treatment (6 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Cancer Research (2.2k citations), Genetics (845 citations) and Molecular Biology (2.6k citations). Inmaculada Spiteri has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Simon Tavaré, Andrea Sottoriva, Christina Curtis, Carlos Caldas, John C. Marioni, Sara Piccirillo, Colin Watts, Anestis Touloumis, V. Peter Collins and Eric A. Miska. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.