Ananth J. Madhuranthakam

3.3k total citations
90 papers, 1.8k citations indexed

About

Ananth J. Madhuranthakam is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ananth J. Madhuranthakam has authored 90 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Pediatrics, Perinatology and Child Health and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ananth J. Madhuranthakam's 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). Ananth J. Madhuranthakam is often cited by papers focused on Advanced MRI Techniques and Applications (55 papers), MRI in cancer diagnosis (39 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Ananth J. Madhuranthakam collaborates with scholars based in United States, Spain and Germany. Ananth J. Madhuranthakam's co-authors include Philip M. Robson, Charles A. McKenzie, Aaron K. Grant, Riccardo Lattanzi, Daniel K. Sodickson, Avneesh Chhabra, Iván Pedrosa, Robert E. Lenkinski, Gustav Andreisek and David G. Kruger and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ananth J. Madhuranthakam

82 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ananth J. Madhuranthakam United States	25	1.3k	315	186	185	156	90	1.8k
Brian M. Dale United States	26	1.9k 1.4×	243 0.8×	225 1.2×	314 1.7×	235 1.5×	79	2.5k
Josephine H. Naish United Kingdom	22	915 0.7×	236 0.7×	224 1.2×	289 1.6×	103 0.7×	85	1.9k
C. de Bazelaire France	27	1.6k 1.2×	712 2.3×	103 0.6×	187 1.0×	179 1.1×	71	2.9k
Frank G. Zöllner Germany	25	1.5k 1.1×	292 0.9×	234 1.3×	148 0.8×	127 0.8×	138	2.2k
David Thomasson United States	24	1.3k 1.0×	194 0.6×	151 0.8×	360 1.9×	86 0.6×	54	2.2k
Hirohiko Kimura Japan	26	1.5k 1.1×	321 1.0×	44 0.2×	138 0.7×	132 0.8×	122	2.1k
Guoying Liu United States	9	1.9k 1.4×	253 0.8×	92 0.5×	160 0.9×	42 0.3×	13	2.2k
Jingfei Ma United States	30	2.1k 1.6×	428 1.4×	149 0.8×	282 1.5×	68 0.4×	121	3.1k
Steffen Sammet United States	22	862 0.6×	259 0.8×	51 0.3×	239 1.3×	184 1.2×	69	1.7k
Yongming Dai China	23	1.2k 0.9×	239 0.8×	99 0.5×	167 0.9×	34 0.2×	136	2.0k

Countries citing papers authored by Ananth J. Madhuranthakam

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Eajazi, Alireza, et al.. (2025). Whole-Body Magnetic Resonance Neurography—Technique, Current Perspectives, and Future Directions. Magnetic Resonance Imaging Clinics of North America. 33(3). 411–426.

Yogananda, Chandan Ganesh Bangalore, Benjamin Wagner, Yin Xi, et al.. (2025). Bridging the clinical gap: Confidence informed IDH prediction in brain gliomas using MRI and deep learning. Neuro-Oncology Advances. 7(1). vdaf142–vdaf142. 1 indexed citations

Murugesan, Gowtham Krishnan, et al.. (2024). Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep Learning. American Journal of Neuroradiology. 45(3). 312–319. 2 indexed citations

Wagner, Benjamin, Kimmo J. Hatanpaa, Toral Patel, et al.. (2024). Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma. Radiology Artificial Intelligence. 6(4). e230218–e230218. 6 indexed citations

Wang, Yiming, et al.. (2023). A 3D‐printed phantom for quality‐controlled reproducibility measurements of arterial spin labeled perfusion. Magnetic Resonance in Medicine. 91(2). 819–827. 2 indexed citations

Yogananda, Chandan Ganesh Bangalore, Benjamin Wagner, Kimmo J. Hatanpaa, et al.. (2023). MRI-Based Deep Learning Method for Classification of IDH Mutation Status. Bioengineering. 10(9). 1045–1045. 14 indexed citations

Wang, Yiming, et al.. (2023). On the application of pseudo-continuous arterial spin labeled MRI for pulmonary perfusion imaging. Magnetic Resonance Imaging. 104. 80–87. 1 indexed citations

Taso, Manuel, Erin K. Englund, Susan Francis, et al.. (2023). Update on state‐of‐the‐art for arterial spin labeling (ASL) human perfusion imaging outside of the brain. Magnetic Resonance in Medicine. 89(5). 1754–1776. 22 indexed citations

Herrera, Christina L., Yiming Wang, Durga Udayakumar, et al.. (2023). Longitudinal assessment of placental perfusion in normal and hypertensive pregnancies using pseudo-continuous arterial spin–labeled MRI: preliminary experience. European Radiology. 33(12). 9223–9232. 2 indexed citations

10.

Yogananda, Chandan Ganesh Bangalore, Bhavya Shah, Sahil Nalawade, et al.. (2021). MRI-Based Deep-Learning Method for Determining Glioma MGMT Promoter Methylation Status. American Journal of Neuroradiology. 42(5). 845–852. 73 indexed citations

11.

Yogananda, Chandan Ganesh Bangalore, Bhavya Shah, Frank Yu, et al.. (2020). A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas. Neuro-Oncology Advances. 2(Supplement_4). iv42–iv48. 34 indexed citations

12.

Christie, Alana, Tiffani McKenzie, Nicholas C. Wolff, et al.. (2017). Modeling Renal Cell Carcinoma in Mice: Bap1 and Pbrm1 Inactivation Drive Tumor Grade. Cancer Discovery. 7(8). 900–917. 110 indexed citations

13.

Maroules, Christopher D., Orhan K. Öz, Suhny Abbara, et al.. (2017). Non-contrast quantitative pulmonary perfusion using flow alternating inversion recovery at 3 T: A preliminary study. Magnetic Resonance Imaging. 46. 106–113. 6 indexed citations

14.

Madhuranthakam, Ananth J., Qing Yuan, & Iván Pedrosa. (2017). Quantitative Methods in Abdominal MRI. Topics in Magnetic Resonance Imaging. 26(6). 251–258. 12 indexed citations

15.

Madhuranthakam, Ananth J., et al.. (2016). Current utilities of imaging in grading musculoskeletal soft tissue sarcomas. European Journal of Radiology. 85(7). 1336–1344. 30 indexed citations

16.

Molinari, Francesco, Ananth J. Madhuranthakam, Robert E. Lenkinski, & Alexander A. Bankier. (2013). Ultrashort echo time MRI of pulmonary water content: assessment in a sponge phantom at 1.5 and 3.0 Tesla. Diagnostic and Interventional Radiology. 20(1). 34–41. 11 indexed citations

17.

Alsop, David C., Ananth J. Madhuranthakam, Reed F. Busse, et al.. (2011). Brain MR Imaging at Ultra-low Radiofrequency Power. Radiology. 259(2). 550–557. 19 indexed citations

18.

McMahon, Colm J., Ananth J. Madhuranthakam, Jim S. Wu, et al.. (2011). High‐resolution proton density weighted three‐dimensional fast spin echo (3D‐FSE) of the knee with IDEAL at 1.5 tesla: Comparison with 3D‐FSE and 2D‐FSE—initial experience. Journal of Magnetic Resonance Imaging. 35(2). 361–369. 11 indexed citations

19.

Madhuranthakam, Ananth J., Huanzhou Yu, Ann Shimakawa, et al.. (2010). T₂‐weighted 3D fast spin echo imaging with water–fat separation in a single acquisition. Journal of Magnetic Resonance Imaging. 32(3). 745–751. 29 indexed citations

20.

Robson, Philip M., Ananth J. Madhuranthakam, Weiying Dai, et al.. (2009). Strategies for reducing respiratory motion artifacts in renal perfusion imaging with arterial spin labeling. Magnetic Resonance in Medicine. 61(6). 1374–1387. 84 indexed citations

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.

Explore authors with similar magnitude of impact