Vadim Malis

597 total citations
39 papers, 421 citations indexed

About

Vadim Malis is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Orthopedics and Sports Medicine. According to data from OpenAlex, Vadim Malis has authored 39 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Biomedical Engineering and 15 papers in Orthopedics and Sports Medicine. Recurrent topics in Vadim Malis's work include Advanced MRI Techniques and Applications (20 papers), Sports injuries and prevention (15 papers) and Muscle activation and electromyography studies (9 papers). Vadim Malis is often cited by papers focused on Advanced MRI Techniques and Applications (20 papers), Sports injuries and prevention (15 papers) and Muscle activation and electromyography studies (9 papers). Vadim Malis collaborates with scholars based in United States, Japan and United Kingdom. Vadim Malis's co-authors include Shantanu Sinha, Usha Sinha, Robert Csapo, Jiang Du, Marco Narici, John A. Hodgson, Ryuta Kinugasa, Won C. Bae, Mitsue Miyazaki and Asako Yamamoto and has published in prestigious journals such as Scientific Reports, Journal of Applied Physiology and Magnetic Resonance in Medicine.

In The Last Decade

Vadim Malis

34 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vadim Malis United States 12 154 142 136 79 77 39 421
Jos Oudeman Netherlands 12 421 2.7× 113 0.8× 179 1.3× 58 0.7× 60 0.8× 16 589
Cristina Caresio Italy 10 91 0.6× 162 1.1× 134 1.0× 213 2.7× 28 0.4× 16 508
Kumiko Eguchi Japan 8 101 0.7× 200 1.4× 43 0.3× 63 0.8× 68 0.9× 11 394
A. Moraux France 7 36 0.2× 152 1.1× 58 0.4× 77 1.0× 162 2.1× 17 385
Christopher P. Elder United States 13 130 0.8× 320 2.3× 117 0.9× 71 0.9× 64 0.8× 19 754
Rachel Lai‐Chu Kwan Hong Kong 10 59 0.4× 114 0.8× 87 0.6× 39 0.5× 49 0.6× 18 388
Ryuta Kinugasa Japan 17 97 0.6× 357 2.5× 432 3.2× 47 0.6× 35 0.5× 40 694
Florian Kreuzpointner Germany 7 26 0.2× 76 0.5× 74 0.5× 49 0.6× 30 0.4× 20 268
R. S. Moussavi United States 10 60 0.4× 167 1.2× 99 0.7× 37 0.5× 90 1.2× 15 451
Alex M. Lai United States 9 133 0.9× 215 1.5× 328 2.4× 15 0.2× 36 0.5× 10 578

Countries citing papers authored by Vadim Malis

Since Specialization
Citations

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

Fields of papers citing papers by Vadim Malis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vadim Malis

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

All Works

20 of 20 papers shown
1.
2.
Sinha, Usha, David R. Maldonado, Vadim Malis, et al.. (2025). Strain mapping using compressed sensing accelerated 4D flow MRI—Potential for detecting coactivation in thigh muscles. Frontiers in Physiology. 16. 1583024–1583024.
3.
Bae, Won C., Vadim Malis, Asako Yamamoto, et al.. (2024). Non-contrast MRI of micro-vascularity of the feet and toes. Japanese Journal of Radiology. 42(7). 785–797. 1 indexed citations
4.
5.
Malis, Vadim, et al.. (2024). Visualization of Cerebrospinal Fluid Outflow and Egress along the Nerve Roots of the Lumbar Spine. Bioengineering. 11(7). 708–708. 2 indexed citations
6.
Bae, Won C., et al.. (2024). Bone Imaging of the Knee Using Short-Interval Delta Ultrashort Echo Time and Field Echo Imaging. Journal of Clinical Medicine. 13(16). 4595–4595.
7.
Malis, Vadim, et al.. (2024). Ultrashort Echo Time and Fast Field Echo Imaging for Spine Bone Imaging with Application in Spondylolysis Evaluation. Computation. 12(8). 152–152. 3 indexed citations
8.
9.
Malis, Vadim, Yoshimori Kassai, Won C. Bae, et al.. (2023). Lung T2* mapping using 3D ultrashort TE with tight intervals δTE. Magnetic Resonance in Medicine. 90(5). 2001–2010. 2 indexed citations
10.
Sinha, Usha, et al.. (2023). Strain and Strain Rate Tensor Mapping of Medial Gastrocnemius at Submaximal Isometric Contraction and Three Ankle Angles. Tomography. 9(2). 840–856. 1 indexed citations
11.
Achar, Suraj, Dosik Hwang, Tim Finkenstaedt, Vadim Malis, & Won C. Bae. (2023). Deep-Learning-Aided Evaluation of Spondylolysis Imaged with Ultrashort Echo Time Magnetic Resonance Imaging. Sensors. 23(18). 8001–8001. 8 indexed citations
12.
Sinha, Usha, et al.. (2023). Effect of different ankle joint positions on medial gastrocnemius muscle fiber strains during isometric plantarflexion. Scientific Reports. 13(1). 14986–14986. 1 indexed citations
13.
Sinha, Shantanu, et al.. (2023). Isometric Contractions of the Quadriceps muscle: Strain and Strain Tensor Mapping using Velocity Encoded Phase Contrast Imaging.. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
14.
Bae, Won C., Vadim Malis, Yoshimori Kassai, & Mitsue Miyazaki. (2023). 3D T1rho sequences with FASE, UTE, and MAPSS acquisitions for knee evaluation. Japanese Journal of Radiology. 41(11). 1308–1315. 2 indexed citations
15.
Miyazaki, Mitsue, Asako Yamamoto, Vadim Malis, et al.. (2022). Time‐Resolved Noncontrast Magnetic Resonance Perfusion Imaging of Paraspinal Muscles. Journal of Magnetic Resonance Imaging. 56(5). 1591–1599. 2 indexed citations
16.
Sinha, Usha, Vadim Malis, Robert Csapo, Marco Narici, & Shantanu Sinha. (2020). Magnetic resonance imaging based muscle strain rate mapping during eccentric contraction to study effects of unloading induced by unilateral limb suspension. European Journal of Translational Myology. 30(1). 139–143. 6 indexed citations
17.
Sinha, Usha, Vadim Malis, Jiun‐Shyan Chen, et al.. (2020). Role of the Extracellular Matrix in Loss of Muscle Force With Age and Unloading Using Magnetic Resonance Imaging, Biochemical Analysis, and Computational Models. Frontiers in Physiology. 11. 626–626. 16 indexed citations
18.
Chen, Jiun‐Shyan, Robert Csapo, Vadim Malis, et al.. (2015). Pixel-based meshfree modelling of skeletal muscles. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 4(2). 73–85. 14 indexed citations
19.
Csapo, Robert, Vadim Malis, Usha Sinha, Jiang Du, & Shantanu Sinha. (2014). Age-associated differences in triceps surae muscle composition and strength – an MRI-based cross-sectional comparison of contractile, adipose and connective tissue. BMC Musculoskeletal Disorders. 15(1). 209–209. 93 indexed citations
20.
Sinha, Usha, et al.. (2014). Age‐related differences in diffusion tensor indices and fiber architecture in the medial and lateral gastrocnemius. Journal of Magnetic Resonance Imaging. 41(4). 941–953. 46 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

Breakdown of academic impact, for papers by Jos Oudeman Breakdown of academic impact, for papers by Cristina Caresio Breakdown of academic impact, for papers by Kumiko Eguchi Breakdown of academic impact, for papers by A. Moraux Breakdown of academic impact, for papers by Christopher P. Elder Breakdown of academic impact, for papers by Rachel Lai‐Chu Kwan Breakdown of academic impact, for papers by Ryuta Kinugasa Breakdown of academic impact, for papers by Florian Kreuzpointner Breakdown of academic impact, for papers by R. S. Moussavi Breakdown of academic impact, for papers by Alex M. Lai
Rankless by CCL
2026