Tina D. Tailor
- Biomedical Engineering top 10%
- Pulmonary and Respiratory Medicine top 10%
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Co-authors
- Yoshimi AnzaiDivakar GuptaC. Dirk KeeneRandall D. EvansVijay SrinivasanJack G. ZhouPeter B. GriffinRichard B. Fair
- Topics
- Lung Cancer Diagnosis and Treatment (18 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)Lung Cancer Treatments and Mutations (6 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Tina D. Tailor
39 papers receiving 941 citations
Peers
Comparison fields: 5 of 106
- Biomedical Engineering 315
- Pulmonary and Respiratory Medicine 232
- Electrical and Electronic Engineering 226
- Radiology, Nuclear Medicine and Imaging 218
- Oncology 162
Countries citing papers authored by Tina D. Tailor
This map shows the geographic impact of Tina D. Tailor'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 Tina D. Tailor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina D. Tailor more than expected).
Fields of papers citing papers by Tina D. Tailor
This network shows the impact of papers produced by Tina D. Tailor. 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 Tina D. Tailor. The network helps show where Tina D. Tailor may publish in the future.
Co-authorship network of co-authors of Tina D. Tailor
This figure shows the co-authorship network connecting the top 25 collaborators of Tina D. Tailor. A scholar is included among the top collaborators of Tina D. Tailor 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 Tina D. Tailor. Tina D. Tailor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 21 | |
| 10 | 43 | |
| 11 | 8 | |
| 12 | 22 | |
| 13 | 11 | |
| 14 | 19 | |
| 15 | 4 | |
| 16 | 10 | |
| 17 | 86 | |
| 18 | 18 | |
| 19 | 10 | |
| 20 | 141 |
About Tina D. Tailor
Tina D. Tailor is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Critical Care and Intensive Care Medicine, having authored 49 papers that have together received 956 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (18 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Lung Cancer Treatments and Mutations (6 papers). The work is most often cited by research in Otorhinolaryngology (50 citations), Health Informatics (13 citations) and Radiology, Nuclear Medicine and Imaging (218 citations). Tina D. Tailor has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Yoshimi Anzai, Divakar Gupta, C. Dirk Keene, Randall D. Evans, Vijay Srinivasan, Jack G. Zhou, Peter B. Griffin, Richard B. Fair, Michael Pollack and Andrey Khlystov. Their work appears in journals such as Scientific Reports, Radiology and CHEST Journal.
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.