Natally Horvat
- Radiology, Nuclear Medicine and Imaging top 1%
- Oncology top 2%
- Surgery top 5%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering top 10%
- Co-authors
- Iva PetkovskaMarc J. GollubBrunna Clemente OliveiraMarinela CapanuDavid D. B. BatesJulio García‐AguilarHarini VeeraraghavanJunting Zheng
- Topics
- Radiomics and Machine Learning in Medical Imaging (48 papers)Colorectal Cancer Surgical Treatments (40 papers)Colorectal Cancer Screening and Detection (24 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaGastroenterology
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Natally Horvat
115 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Radiology, Nuclear Medicine and Imaging 1.1k
- Oncology 1.1k
- Surgery 578
- Pulmonary and Respiratory Medicine 334
- Biomedical Engineering 264
Countries citing papers authored by Natally Horvat
This map shows the geographic impact of Natally Horvat'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 Natally Horvat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natally Horvat more than expected).
Fields of papers citing papers by Natally Horvat
This network shows the impact of papers produced by Natally Horvat. 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 Natally Horvat. The network helps show where Natally Horvat may publish in the future.
Co-authorship network of co-authors of Natally Horvat
This figure shows the co-authorship network connecting the top 25 collaborators of Natally Horvat. A scholar is included among the top collaborators of Natally Horvat 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 Natally Horvat. Natally Horvat 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 | 4 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 28 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 20 | |
| 10 | 15 | |
| 11 | 40 | |
| 12 | 11 | |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 16 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 60 | |
| 19 | 12 | |
| 20 | 47 |
About Natally Horvat
Natally Horvat is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Oncology, having authored 128 papers that have together received 2.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (48 papers), Colorectal Cancer Surgical Treatments (40 papers) and Colorectal Cancer Screening and Detection (24 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Oncology (1.1k citations) and Hepatology (226 citations). Natally Horvat has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Iva Petkovska, Marc J. Gollub, Brunna Clemente Oliveira, Marinela Capanu, David D. B. Bates, Julio García‐Aguilar, Harini Veeraraghavan, Junting Zheng, Isac de Castro and Ivana Blažić. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.
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.