Ananth J. Madhuranthakam
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Surgery
- Materials Chemistry
- Co-authors
- Philip M. RobsonCharles A. McKenzieDaniel K. SodicksonRiccardo LattanziAaron K. GrantAvneesh ChhabraIván PedrosaRobert E. Lenkinski
- Topics
- Advanced MRI Techniques and Applications (55 papers)MRI in cancer diagnosis (39 papers)Radiomics and Machine Learning in Medical Imaging (13 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesSpainGermany
In The Last Decade
Ananth J. Madhuranthakam
82 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 87
- Radiology, Nuclear Medicine and Imaging 1.3k
- Pulmonary and Respiratory Medicine 315
- Atomic and Molecular Physics, and Optics 186
- Surgery 185
- Materials Chemistry 156
Countries citing papers authored by Ananth J. Madhuranthakam
This map shows the geographic impact of Ananth J. Madhuranthakam'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 Ananth J. Madhuranthakam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ananth J. Madhuranthakam more than expected).
Fields of papers citing papers by Ananth J. Madhuranthakam
This network shows the impact of papers produced by Ananth J. Madhuranthakam. 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 Ananth J. Madhuranthakam. The network helps show where Ananth J. Madhuranthakam may publish in the future.
Co-authorship network of co-authors of Ananth J. Madhuranthakam
This figure shows the co-authorship network connecting the top 25 collaborators of Ananth J. Madhuranthakam. A scholar is included among the top collaborators of Ananth J. Madhuranthakam 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 Ananth J. Madhuranthakam. Ananth J. Madhuranthakam 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 | 2 | |
| 4 | 6 | |
| 5 | 14 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 34 | |
| 11 | 10 | |
| 12 | 110 | |
| 13 | 6 | |
| 14 | 12 | |
| 15 | 2 | |
| 16 | 19 | |
| 17 | 11 | |
| 18 | 29 | |
| 19 | 5 | |
| 20 | 26 |
About Ananth J. Madhuranthakam
Ananth J. Madhuranthakam is a scholar working on Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 90 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (55 papers), MRI in cancer diagnosis (39 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Obstetrics and Gynecology (114 citations) and Neurology (105 citations). Ananth J. Madhuranthakam has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Philip M. Robson, Charles A. McKenzie, Daniel K. Sodickson, Riccardo Lattanzi, Aaron K. Grant, Avneesh Chhabra, Iván Pedrosa, Robert E. Lenkinski, Gustav Andreisek and David G. Kruger. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.