J. Titano
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Hepatology 15
- Hepatocellular Carcinoma Treatment and Prognosis 15
-
- Vascular Procedures and Complications 6
- Renal and Vascular Pathologies 2
- Co-authors
- Eric K. Oermann (7 shared papers)John R. Zech (6 shared papers)Anthony Costa (6 shared papers)Marcus A. Badgeley (3 shared papers)Manway Liu (1 shared paper)Edward Kim (12 shared papers)Javin Schefflein (3 shared papers)Rahul Patel (16 shared papers)
- Journals
- Journal of Vascular and Interventional Radiology (9 papers)Radiology (2 papers)HPB (2 papers)Annals of Translational Medicine (2 papers)CardioVascular and Interventional Radiology (2 papers)
- Partner nations
- United StatesSwitzerland
In The Last Decade
J. Titano
29 papers receiving 1.7k citations
J. Titano's Hit Papers
Peers
Comparison fields: 5 of 131
- Health Informatics 336
- Hepatology 259
- Radiology, Nuclear Medicine and Imaging 582
- Artificial Intelligence 445
- Health Information Management 49
Countries citing papers authored by J. Titano
This map shows the geographic impact of J. Titano'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 J. Titano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Titano more than expected).
Fields of papers citing papers by J. Titano
This network shows the impact of papers produced by J. Titano. 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 J. Titano. The network helps show where J. Titano may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Titano, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study Hit paper breakdown → | 2018 | 861 |
| 2 | 2018 | 279 | |
| 3 | 2018 | 103 | |
| 4 | 2016 | 77 | |
| 5 | 2017 | 61 | |
| 6 | 2019 | 53 | |
| 7 | 2016 | 45 | |
| 8 | 2019 | 33 | |
| 9 | 2015 | 29 | |
| 10 | 2019 | 18 | |
| 11 | 2019 | 17 | |
| 12 | 2017 | 17 | |
| 13 | 2016 | 16 | |
| 14 | 2019 | 15 | |
| 15 | 2014 | 13 | |
| 16 | 2019 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2015 | 9 | |
| 19 | 2018 | 8 | |
| 20 | 2019 | 8 |
About J. Titano
J. Titano is a scholar working on Hepatology, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Vascular Procedures and Complications (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Renal and Vascular Pathologies (2 papers), Central Venous Catheters and Hemodialysis (2 papers), COVID-19 diagnosis using AI (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Health Informatics (336 citations), Hepatology (259 citations), Radiology, Nuclear Medicine and Imaging (582 citations), Artificial Intelligence (445 citations) and Health Information Management (49 citations). J. Titano has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Eric K. Oermann, John R. Zech, Anthony Costa, Marcus A. Badgeley, Manway Liu, Edward Kim, Javin Schefflein, Rahul Patel, A. Fischman and Joshua B. Bederson. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Radiology, HPB, Annals of Translational Medicine and CardioVascular and Interventional Radiology.
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.