Glenn A. Walter

7.9k total citations · 1 hit paper
142 papers, 5.9k citations indexed

About

Glenn A. Walter is a scholar working on Molecular Biology, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Glenn A. Walter has authored 142 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Molecular Biology, 43 papers in Biomedical Engineering and 28 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Glenn A. Walter's work include Muscle Physiology and Disorders (86 papers), Muscle activation and electromyography studies (30 papers) and Genetic Neurodegenerative Diseases (17 papers). Glenn A. Walter is often cited by papers focused on Muscle Physiology and Disorders (86 papers), Muscle activation and electromyography studies (30 papers) and Genetic Neurodegenerative Diseases (17 papers). Glenn A. Walter collaborates with scholars based in United States, Canada and United Kingdom. Glenn A. Walter's co-authors include Krista Vandenborne, H. Lee Sweeney, Parvesh Sharma, Scott C. Brown, Swadeshmukul Santra, Sean C. Forbes, Brij Moudgil, Donovan J. Lott, Brij M. Moudgil and Claudia Senesac and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Circulation.

In The Last Decade

Glenn A. Walter

137 papers receiving 5.8k citations

Hit Papers

Nanoparticles for bioimaging 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Glenn A. Walter United States 46 2.9k 1.7k 929 839 751 142 5.9k
Andrea Sbarbati Italy 47 1.7k 0.6× 1.3k 0.8× 531 0.6× 1.2k 1.4× 386 0.5× 306 8.9k
Gregory R. Wojtkiewicz United States 34 1.8k 0.6× 1.0k 0.6× 556 0.6× 474 0.6× 485 0.6× 79 5.6k
Ali S. Arbab United States 57 3.7k 1.3× 2.2k 1.3× 691 0.7× 306 0.4× 194 0.3× 209 10.5k
Michael F. Wendland United States 51 1.6k 0.5× 1.2k 0.7× 1.0k 1.1× 223 0.3× 983 1.3× 190 10.4k
Mei Tian China 38 1.2k 0.4× 2.2k 1.3× 1.6k 1.7× 345 0.4× 114 0.2× 228 5.9k
John W. Chen United States 34 2.2k 0.7× 545 0.3× 397 0.4× 856 1.0× 253 0.3× 98 6.1k
Junji Konishi Japan 66 2.1k 0.7× 854 0.5× 493 0.5× 1.1k 1.3× 1.5k 2.0× 575 17.4k
Gerhard Groß Germany 43 2.8k 1.0× 541 0.3× 148 0.2× 573 0.7× 216 0.3× 139 6.2k
Ágnes Kittel Hungary 41 6.4k 2.2× 908 0.5× 167 0.2× 996 1.2× 357 0.5× 106 10.0k
Edward A. Neuwelt United States 66 3.1k 1.1× 2.1k 1.2× 1.2k 1.3× 642 0.8× 245 0.3× 326 17.2k

Countries citing papers authored by Glenn A. Walter

Since Specialization
Citations

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

Fields of papers citing papers by Glenn A. Walter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glenn A. Walter. 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 Glenn A. Walter. The network helps show where Glenn A. Walter may publish in the future.

Co-authorship network of co-authors of Glenn A. Walter

This figure shows the co-authorship network connecting the top 25 collaborators of Glenn A. Walter. A scholar is included among the top collaborators of Glenn A. Walter 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 Glenn A. Walter. Glenn A. Walter 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.
Eng, Simon, Kevin Ha, Hermien E. Kan, et al.. (2025). Large-scale serum protein biomarkers discovery associated with function and clinical milestones in Duchenne muscular dystrophy. Nature Communications. 16(1). 9073–9073.
2.
Khattri, Ram B., Abhinandan Batra, Zoe White, et al.. (2024). Comparative lipidomic and metabolomic profiling of mdx and severe mdx-apolipoprotein e-null mice. Skeletal Muscle. 14(1). 36–36.
3.
Willcocks, Rebecca J., Michael J. Daniels, Ramona Belfiore, et al.. (2024). A model‐informed clinical trial simulation tool with a graphical user interface for Duchenne muscular dystrophy. CPT Pharmacometrics & Systems Pharmacology. 14(11). 1765–1774.
4.
Daniels, Michael J., Rebecca J. Willcocks, William Triplett, et al.. (2024). Five multivariate Duchenne muscular dystrophy progression models bridging six-minute walk distance and MRI relaxometry of leg muscles. Journal of Pharmacokinetics and Pharmacodynamics. 51(6). 671–683. 2 indexed citations
5.
Zelikovich, Aaron S., Robert Sufit, Senda Ajroud‐Driss, et al.. (2024). Serum protein and imaging biomarkers after intermittent steroid treatment in muscular dystrophy. Scientific Reports. 14(1). 28745–28745. 2 indexed citations
6.
Willcocks, Rebecca J., Michael J. Daniels, Sean C. Forbes, et al.. (2023). Clinical importance of changes in magnetic resonance biomarkers for Duchenne muscular dystrophy. Annals of Clinical and Translational Neurology. 11(1). 67–78. 3 indexed citations
7.
Neyroud, Daria, Orlando Laitano, Aneesha Dasgupta, et al.. (2023). Blocking muscle wasting via deletion of the muscle-specific E3 ligase MuRF1 impedes pancreatic tumor growth. Communications Biology. 6(1). 519–519. 20 indexed citations
8.
Khattri, Ram B., Abhinandan Batra, Michael E. Matheny, et al.. (2022). Magnetic resonance quantification of skeletal muscle lipid infiltration in a humanized mouse model of Duchenne muscular dystrophy. NMR in Biomedicine. 36(3). e4869–e4869. 10 indexed citations
9.
Batra, Abhinandan, Donovan J. Lott, Rebecca J. Willcocks, et al.. (2022). Longitudinal changes in cardiac function in Duchenne muscular dystrophy population as measured by magnetic resonance imaging. BMC Cardiovascular Disorders. 22(1). 260–260. 10 indexed citations
10.
Montesinos, Paula, Alicia Alonso‐Jiménez, Jorge Alonso‐Pérez, et al.. (2021). Magnetization Transfer Ratio in Lower Limbs of Late Onset Pompe Patients Correlates With Intramuscular Fat Fraction and Muscle Function Tests. Frontiers in Neurology. 12. 634766–634766. 6 indexed citations
11.
Judge, Sarah M., Michael R. Deyhle, Daria Neyroud, et al.. (2020). MEF2c-Dependent Downregulation of Myocilin Mediates Cancer-Induced Muscle Wasting and Associates with Cachexia in Patients with Cancer. Cancer Research. 80(9). 1861–1874. 36 indexed citations
12.
McDonagh, Brian, et al.. (2020). Diaphragm weakness and proteomics (global and redox) modifications in heart failure with reduced ejection fraction in rats. Journal of Molecular and Cellular Cardiology. 139. 238–249. 8 indexed citations
13.
Lott, Donovan J., Abhinandan Batra, William Triplett, et al.. (2019). Imaging respiratory muscle quality and function in Duchenne muscular dystrophy. Journal of Neurology. 266(11). 2752–2763. 26 indexed citations
14.
Vohra, Ravneet, Abhinandan Batra, Sean C. Forbes, Krista Vandenborne, & Glenn A. Walter. (2017). Magnetic Resonance Monitoring of Disease Progression in mdx Mice on Different Genetic Backgrounds. American Journal Of Pathology. 187(9). 2060–2070. 18 indexed citations
15.
Burakiewicz, Jedrzej, et al.. (2017). Quantifying fat replacement of muscle by quantitative MRI in muscular dystrophy. Journal of Neurology. 264(10). 2053–2067. 168 indexed citations
16.
Dumont, Matthieu, Céline Baligand, E.S. Knowles, et al.. (2012). Surface Modified Gadolinium Phosphate Nanoparticles as MRI Contrast Agents. Bulletin of the American Physical Society. 2012. 1 indexed citations
17.
Mitra, Rajendra Narayan, Xiaolei Zhang, Niclas E. Bengtsson, et al.. (2011). An activatable multimodal/multifunctional nanoprobe for direct imaging of intracellular drug delivery. Biomaterials. 33(5). 1500–1508. 48 indexed citations
18.
Shah, Prithvi K., Chris M. Gregory, J E Stevens, et al.. (2008). Non-invasive assessment of lower extremity muscle composition after incomplete spinal cord injury. Spinal Cord. 46(8). 565–570. 19 indexed citations
19.
Chen, Yiwen, Chris M. Gregory, Mark T. Scarborough, et al.. (2007). Transcriptional pathways associated with skeletal muscle disuse atrophy in humans. Physiological Genomics. 31(3). 510–520. 113 indexed citations
20.
Frimel, Tiffany N., Glenn A. Walter, John D. Gibbs, Gabriel Gaidosh, & Krista Vandenborne. (2005). Noninvasive monitoring of muscle damage during reloading following limb disuse. Muscle & Nerve. 32(5). 605–612. 34 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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