Daniel Ranti
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Brain Tumor Detection and Classification
Papers in
- Surgery 11
- Bladder and Urothelial Cancer Treatments 9
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- Meningioma and schwannoma management 3
- Co-authors
- Eric K. Oermann (3 shared papers)Aly Valliani (3 shared papers)John P. Sfakianos (13 shared papers)Reza Mehrazin (9 shared papers)Amir Horowitz (4 shared papers)John W. Rutland (9 shared papers)Priti Balchandani (5 shared papers)Bradley N. Delman (5 shared papers)
- Journals
- Urologic Oncology Seminars and Original Investigations (4 papers)Journal of neurosurgery (2 papers)Neurosurgery (2 papers)Global Spine Journal (1 paper)Trends in cancer (1 paper)
- Partner nations
- United StatesSwedenIndia
In The Last Decade
Daniel Ranti
26 papers receiving 420 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 21
- Neurology 29
- Surgery 111
- Health Information Management 11
- Radiology, Nuclear Medicine and Imaging 46
Countries citing papers authored by Daniel Ranti
This map shows the geographic impact of Daniel Ranti'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 Daniel Ranti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ranti more than expected).
Fields of papers citing papers by Daniel Ranti
This network shows the impact of papers produced by Daniel Ranti. 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 Daniel Ranti. The network helps show where Daniel Ranti may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ranti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 122 | |
| 2 | 2019 | 63 | |
| 3 | 2022 | 44 | |
| 4 | 2020 | 24 | |
| 5 | 2023 | 22 | |
| 6 | 2020 | 18 | |
| 7 | 2022 | 17 | |
| 8 | 2023 | 16 | |
| 9 | 2022 | 16 | |
| 10 | 2022 | 14 | |
| 11 | 2020 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2020 | 3 |
About Daniel Ranti
Daniel Ranti is a scholar working on Surgery, Epidemiology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Neurology, having authored 31 papers that have together received 427 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (9 papers), Pituitary Gland Disorders and Treatments (4 papers), Cerebrospinal fluid and hydrocephalus (3 papers), Meningioma and schwannoma management (3 papers), Fetal and Pediatric Neurological Disorders (2 papers), Machine Learning in Healthcare (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Health Informatics (21 citations), Neurology (29 citations), Surgery (111 citations), Health Information Management (11 citations) and Radiology, Nuclear Medicine and Imaging (46 citations). Daniel Ranti has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Eric K. Oermann, Aly Valliani, John P. Sfakianos, Reza Mehrazin, Amir Horowitz, John W. Rutland, Priti Balchandani, Bradley N. Delman, Brian Cho and Zoe B. Cheung. Their work appears in journals such as Urologic Oncology Seminars and Original Investigations, Journal of neurosurgery, Neurosurgery, Global Spine Journal and Trends in cancer.
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.