Laura Martincich
- Radiology, Nuclear Medicine and Imaging top 1%
- Cancer Research top 5%
- Pathology and Forensic Medicine top 5%
- Oncology top 10%
- Surgery
- Co-authors
- Daniele ReggeRiccardo PonzoneFilippo MontemurroMassimo AgliettaSavannah C. PartridgeIvana SarottoP SismondiFranziska Kubatzki
- Topics
- MRI in cancer diagnosis (25 papers)Radiomics and Machine Learning in Medical Imaging (15 papers)Breast Cancer Treatment Studies (15 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Laura Martincich
39 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Radiology, Nuclear Medicine and Imaging 1.1k
- Cancer Research 552
- Pathology and Forensic Medicine 422
- Oncology 233
- Surgery 227
Countries citing papers authored by Laura Martincich
This map shows the geographic impact of Laura Martincich'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 Laura Martincich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Martincich more than expected).
Fields of papers citing papers by Laura Martincich
This network shows the impact of papers produced by Laura Martincich. 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 Laura Martincich. The network helps show where Laura Martincich may publish in the future.
Co-authorship network of co-authors of Laura Martincich
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Martincich. A scholar is included among the top collaborators of Laura Martincich 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 Laura Martincich. Laura Martincich 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 | 8 | |
| 3 | 24 | |
| 4 | Diffusion-weighted imaging of the breast—a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working groupbreakdown → | 270 |
| 5 | 17 | |
| 6 | 37 | |
| 7 | 24 | |
| 8 | 98 | |
| 9 | 58 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 192 | |
| 13 | 0 | |
| 14 | 30 | |
| 15 | 45 | |
| 16 | 47 | |
| 17 | 49 | |
| 18 | 27 | |
| 19 | 179 | |
| 20 | 20 |
About Laura Martincich
Laura Martincich is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (25 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Breast Cancer Treatment Studies (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Cancer Research (552 citations) and Pathology and Forensic Medicine (422 citations). Laura Martincich has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Daniele Regge, Riccardo Ponzone, Filippo Montemurro, Massimo Aglietta, Savannah C. Partridge, Ivana Sarotto, P Sismondi, Franziska Kubatzki, Ilaria Bertotto and Paola Clauser. Their work appears in journals such as Clinical Cancer Research, European Journal of Cancer and American Journal of Roentgenology.
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.