John V. Frangioni
- Biomedical Engineering top 0.05%
- Molecular Biology top 0.5%
- Materials Chemistry top 0.5%
- Pulmonary and Respiratory Medicine top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Co-authors
- Hak Soo ChoiMoungi G. BawendiEiichi TanakaAlexander L. VahrmeijerPreeti MisraBenjamin G. NeelWenhao LiuJohn P. Zimmer
- Topics
- Nanoplatforms for cancer theranostics (54 papers)Optical Imaging and Spectroscopy Techniques (25 papers)Photoacoustic and Ultrasonic Imaging (17 papers)
- Partner nations
- United StatesNetherlandsJapan
In The Last Decade
John V. Frangioni
231 papers receiving 27.8k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Biomedical Engineering 12.0k
- Molecular Biology 7.6k
- Materials Chemistry 7.5k
- Pulmonary and Respiratory Medicine 4.6k
- Radiology, Nuclear Medicine and Imaging 4.0k
Countries citing papers authored by John V. Frangioni
This map shows the geographic impact of John V. Frangioni'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 John V. Frangioni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John V. Frangioni more than expected).
Fields of papers citing papers by John V. Frangioni
This network shows the impact of papers produced by John V. Frangioni. 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 John V. Frangioni. The network helps show where John V. Frangioni may publish in the future.
Co-authorship network of co-authors of John V. Frangioni
This figure shows the co-authorship network connecting the top 25 collaborators of John V. Frangioni. A scholar is included among the top collaborators of John V. Frangioni 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 John V. Frangioni. John V. Frangioni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 77 | |
| 4 | 69 | |
| 5 | 66 | |
| 6 | 37 | |
| 7 | 7 | |
| 8 | Effect of Small-Molecule-Binding Affinity on Tumor Uptake In Vivo: A Systematic Study Using a Pretargeted Bispecific Antibody | 1 |
| 9 | 20 | |
| 10 | 45 | |
| 11 | 19 | |
| 12 | Design Considerations for Tumor-Targeted Nanoparticles | 1 |
| 13 | 36 | |
| 14 | 50 | |
| 15 | 132 | |
| 16 | 63 | |
| 17 | 63 | |
| 18 | 6 | |
| 19 | 212 | |
| 20 | 26 |
About John V. Frangioni
John V. Frangioni is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 236 papers that have together received 28.3k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (54 papers), Optical Imaging and Spectroscopy Techniques (25 papers) and Photoacoustic and Ultrasonic Imaging (17 papers). The work is most often cited by research in Biomaterials (3.8k citations), Biomedical Engineering (12.0k citations) and Radiology, Nuclear Medicine and Imaging (4.0k citations). John V. Frangioni has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Hak Soo Choi, Moungi G. Bawendi, Eiichi Tanaka, Alexander L. Vahrmeijer, Preeti Misra, Benjamin G. Neel, Wenhao Liu, John P. Zimmer, Sylvain Gioux and Joost R. van der Vorst. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.