Manushka Vaidya

530 total citations
14 papers, 416 citations indexed

About

Manushka Vaidya is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Manushka Vaidya has authored 14 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Electrical and Electronic Engineering and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Manushka Vaidya's work include Advanced MRI Techniques and Applications (7 papers), Atomic and Subatomic Physics Research (4 papers) and Advanced NMR Techniques and Applications (3 papers). Manushka Vaidya is often cited by papers focused on Advanced MRI Techniques and Applications (7 papers), Atomic and Subatomic Physics Research (4 papers) and Advanced NMR Techniques and Applications (3 papers). Manushka Vaidya collaborates with scholars based in United States, Denmark and Canada. Manushka Vaidya's co-authors include Daniel K. Sodickson, Riccardo Lattanzi, Issam El Naqa, Kimberly M. Creach, Jennifer B. Frye, Farrokh Dehdashti, Jeffrey D. Bradley, Christopher M. Collins, Graham C. Wiggins and Cem M. Deniz and has published in prestigious journals such as Magnetic Resonance in Medicine, Physics in Medicine and Biology and Radiotherapy and Oncology.

In The Last Decade

Manushka Vaidya

14 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manushka Vaidya United States 9 342 114 80 56 56 14 416
Frank F.J. Simonis Netherlands 10 319 0.9× 100 0.9× 40 0.5× 95 1.7× 46 0.8× 32 457
Yves Bérubé-Lauzière Canada 13 247 0.7× 233 2.0× 29 0.4× 50 0.9× 9 0.2× 57 434
Zohaib Iqbal United States 10 368 1.1× 111 1.0× 123 1.5× 33 0.6× 47 0.8× 26 518
Hitoshi Yamagata Japan 12 245 0.7× 73 0.6× 112 1.4× 40 0.7× 10 0.2× 33 372
Michael Hamm Germany 7 501 1.5× 102 0.9× 39 0.5× 70 1.3× 49 0.9× 7 564
Saumya Gurbani United States 14 305 0.9× 81 0.7× 50 0.6× 26 0.5× 36 0.6× 34 504
Enrique W. Izaguirre United States 8 105 0.3× 95 0.8× 114 1.4× 90 1.6× 22 0.4× 26 497
Theodore G. Papazoglou Greece 13 128 0.4× 183 1.6× 135 1.7× 83 1.5× 16 0.3× 50 522
James S. Cordova United States 12 189 0.6× 73 0.6× 33 0.4× 30 0.5× 24 0.4× 19 398
Kenneth W. Rohling United States 9 212 0.6× 104 0.9× 47 0.6× 65 1.2× 51 0.9× 16 435

Countries citing papers authored by Manushka Vaidya

Since Specialization
Citations

This map shows the geographic impact of Manushka Vaidya'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 Manushka Vaidya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manushka Vaidya more than expected).

Fields of papers citing papers by Manushka Vaidya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manushka Vaidya. 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 Manushka Vaidya. The network helps show where Manushka Vaidya may publish in the future.

Co-authorship network of co-authors of Manushka Vaidya

This figure shows the co-authorship network connecting the top 25 collaborators of Manushka Vaidya. A scholar is included among the top collaborators of Manushka Vaidya 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 Manushka Vaidya. Manushka Vaidya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Tang, Shuyu, et al.. (2024). A pharmacokinetic model for hyperpolarized 13C‐pyruvate MRI when using metabolite‐specific bSSFP sequences. Magnetic Resonance in Medicine. 92(4). 1698–1713. 1 indexed citations
2.
Hong, Donghyun, Georgios Batsios, Pavithra Viswanath, et al.. (2021). Acquisition and quantification pipeline for in vivo hyperpolarized 13C MR spectroscopy. Magnetic Resonance in Medicine. 87(4). 1673–1687. 3 indexed citations
3.
Varma, Gopal, Pankaj Seth, Cody Callahan, et al.. (2021). Visualizing the effects of lactate dehydrogenase (LDH) inhibition and LDH‐A genetic ablation in breast and lung cancer with hyperpolarized pyruvate NMR. NMR in Biomedicine. 34(8). e4560–e4560. 14 indexed citations
4.
Vaidya, Manushka, Mariana Lazar, Cem M. Deniz, et al.. (2018). Improved detection of fMRI activation in the cerebellum at 7T with dielectric pads extending the imaging region of a commercial head coil. Journal of Magnetic Resonance Imaging. 48(2). 431–440. 33 indexed citations
5.
Vaidya, Manushka, Daniel K. Sodickson, Christopher M. Collins, & Riccardo Lattanzi. (2018). Disentangling the effects of high permittivity materials on signal optimization and sample noise reduction via ideal current patterns. Magnetic Resonance in Medicine. 81(4). 2746–2758. 7 indexed citations
6.
Vaidya, Manushka, et al.. (2017). Approaching ultimate intrinsic specific absorption rate in radiofrequency shimming using high‐permittivity materials at 7 Tesla. Magnetic Resonance in Medicine. 80(1). 391–399. 9 indexed citations
7.
Vaidya, Manushka, Cem M. Deniz, Christopher M. Collins, Daniel K. Sodickson, & Riccardo Lattanzi. (2017). Manipulating transmit and receive sensitivities of radiofrequency surface coils using shielded and unshielded high-permittivity materials. Magnetic Resonance Materials in Physics Biology and Medicine. 31(3). 355–366. 14 indexed citations
8.
Vaidya, Manushka, Christopher M. Collins, Daniel K. Sodickson, et al.. (2016). Dependence of and field patterns of surface coils on the electrical properties of the sample and the MR operating frequency. Concepts in Magnetic Resonance Part B. 46(1). 25–40. 71 indexed citations
9.
Deniz, Cem M., Manushka Vaidya, Daniel K. Sodickson, & Riccardo Lattanzi. (2015). Radiofrequency energy deposition and radiofrequency power requirements in parallel transmission with increasing distance from the coil to the sample. Magnetic Resonance in Medicine. 75(1). 423–432. 21 indexed citations
10.
11.
Vaidya, Manushka, Daniel K. Sodickson, & Riccardo Lattanzi. (2014). Approaching ultimate intrinsic SNR in a uniform spherical sample with finite arrays of loop coils. Concepts in Magnetic Resonance Part B. 44(3). 53–65. 38 indexed citations
12.
Vaidya, Manushka, Kimberly M. Creach, Jennifer B. Frye, et al.. (2011). Combined PET/CT image characteristics for radiotherapy tumor response in lung cancer. Radiotherapy and Oncology. 102(2). 239–245. 161 indexed citations
13.
Oh, Jung Hun, Jeffrey M. Craft, Manushka Vaidya, et al.. (2011). A Bayesian network approach for modeling local failure in lung cancer. Physics in Medicine and Biology. 56(6). 1635–1651. 42 indexed citations
14.
Oh, Jung Hun, Jeffrey M. Craft, Rawan Al-Lozi, et al.. (2010). Predicting Local Failure in Lung Cancer Using Bayesian Networks. 6. 735–739. 1 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.

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2026