Mark D. Does

8.2k total citations
155 papers, 6.3k citations indexed

About

Mark D. Does is a scholar working on Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics and Orthopedics and Sports Medicine. According to data from OpenAlex, Mark D. Does has authored 155 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Nuclear and High Energy Physics and 29 papers in Orthopedics and Sports Medicine. Recurrent topics in Mark D. Does's work include Advanced MRI Techniques and Applications (101 papers), Advanced Neuroimaging Techniques and Applications (77 papers) and NMR spectroscopy and applications (38 papers). Mark D. Does is often cited by papers focused on Advanced MRI Techniques and Applications (101 papers), Advanced Neuroimaging Techniques and Applications (77 papers) and NMR spectroscopy and applications (38 papers). Mark D. Does collaborates with scholars based in United States, Canada and United Kingdom. Mark D. Does's co-authors include John C. Gore, Daniel F. Gochberg, Jeffry S. Nyman, Junzhong Xu, R. Adam Horch, R. E. Snyder, Edward C. Parsons, Kevin D. Harkins, Mathilde Granke and Nathaniel D. Kelm and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mark D. Does

149 papers receiving 6.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark D. Does United States 50 4.7k 1.1k 851 581 568 155 6.3k
Greg J. Stanisz Canada 46 6.4k 1.3× 436 0.4× 704 0.8× 2.1k 3.6× 753 1.3× 148 9.3k
Christopher H. Sotak United States 49 4.4k 0.9× 360 0.3× 1.2k 1.5× 381 0.7× 643 1.1× 111 7.0k
Dmitriy A. Yablonskiy United States 49 6.1k 1.3× 281 0.3× 982 1.2× 323 0.6× 1.7k 3.0× 130 8.4k
Roger J. Ordidge United Kingdom 46 4.9k 1.0× 182 0.2× 688 0.8× 396 0.7× 777 1.4× 206 7.1k
Vladı́mir Mlynárik Austria 39 2.5k 0.5× 310 0.3× 287 0.3× 401 0.7× 952 1.7× 143 4.7k
Alex L. MacKay Canada 48 6.1k 1.3× 439 0.4× 921 1.1× 160 0.3× 1.2k 2.1× 154 8.9k
Ravinder R. Regatte United States 41 3.0k 0.6× 1.3k 1.2× 195 0.2× 847 1.5× 670 1.2× 185 6.3k
Oliver Bieri Switzerland 37 2.2k 0.5× 271 0.2× 206 0.2× 409 0.7× 437 0.8× 221 4.7k
Daniel F. Gochberg United States 41 3.4k 0.7× 427 0.4× 331 0.4× 1.6k 2.8× 480 0.8× 87 3.9k
Freddy Ståhlberg Sweden 42 4.1k 0.9× 388 0.4× 327 0.4× 316 0.5× 327 0.6× 161 5.6k

Countries citing papers authored by Mark D. Does

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Does

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Does. 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 Mark D. Does. The network helps show where Mark D. Does may publish in the future.

Co-authorship network of co-authors of Mark D. Does

This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Does. A scholar is included among the top collaborators of Mark D. Does 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 Mark D. Does. Mark D. Does 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
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Siricilla, Shajila, C. O’Brien, Sourav Panja, et al.. (2024). Regional differences in three-dimensional fiber organization, smooth muscle cell phenotype, and contractility in the pregnant mouse cervix. Science Advances. 10(51). eadr3530–eadr3530.
3.
Lee, Geumbee, Mark D. Does, Raudel Avila, et al.. (2023). Implantable, Bioresorbable Radio Frequency Resonant Circuits for Magnetic Resonance Imaging. Advanced Science. 11(27). e2301232–e2301232. 15 indexed citations
4.
Papazoglou, Sebastian, et al.. (2023). Insights and improvements in correspondence between axonal volume fraction measured with diffusion‐weighted MRI and electron microscopy. NMR in Biomedicine. 37(3). e5070–e5070. 4 indexed citations
5.
Webb, Taylor D., Steven Leung, Pejman Ghanouni, et al.. (2022). Improving Transcranial Acoustic Targeting: The Limits of CT-Based Velocity Estimates and the Role of MR. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 69(9). 2630–2637. 4 indexed citations
6.
Pollins, Alonda C., et al.. (2021). Noninvasive diffusion MRI to determine the severity of peripheral nerve injury. Magnetic Resonance Imaging. 83. 96–106. 11 indexed citations
7.
8.
Does, Mark D., Jonas Lynge Olesen, Kevin D. Harkins, et al.. (2019). Evaluation of principal component analysis image denoising on multi‐exponential MRI relaxometry. Magnetic Resonance in Medicine. 81(6). 3503–3514. 58 indexed citations
9.
Does, Mark D., et al.. (2017). Propagation of error from parameter constraints in quantitative MRI: Example application of multiple spin echo T2 mapping. Magnetic Resonance in Medicine. 79(2). 673–682. 7 indexed citations
10.
Bell, Laura C., Mark D. Does, Ashley M. Stokes, et al.. (2017). Optimization of DSC MRI Echo Times for CBV Measurements Using Error Analysis in a Pilot Study of High-Grade Gliomas. American Journal of Neuroradiology. 38(9). 1710–1715. 7 indexed citations
11.
Bamba, Ravinder, Thanapong Waitayawinyu, David C. Riley, et al.. (2016). A novel therapy to promote axonal fusion in human digital nerves. The Journal of Trauma: Injury, Infection, and Critical Care. 81(5). S177–S183. 40 indexed citations
12.
Harkins, Kevin D. & Mark D. Does. (2016). Simulations on the influence of myelin water in diffusion-weighted imaging. Physics in Medicine and Biology. 61(13). 4729–4745. 16 indexed citations
13.
Xu, Junzhong, Ke Li, R. Adam Smith, et al.. (2016). A comparative assessment of preclinical chemotherapeutic response of tumors using quantitative non-Gaussian diffusion MRI. Magnetic Resonance Imaging. 37. 195–202. 6 indexed citations
14.
Xu, Junzhong, Hua Li, Kevin D. Harkins, et al.. (2014). Mapping mean axon diameter and axonal volume fraction by MRI using temporal diffusion spectroscopy. NeuroImage. 103. 10–19. 100 indexed citations
15.
Colvin, Daniel C., Mary E. Loveless, Mark D. Does, et al.. (2010). Earlier detection of tumor treatment response using magnetic resonance diffusion imaging with oscillating gradients. Magnetic Resonance Imaging. 29(3). 315–323. 38 indexed citations
16.
Horch, R. Adam, et al.. (2010). RF coil considerations for short‐T2 MRI. Magnetic Resonance in Medicine. 64(6). 1652–1657. 37 indexed citations
17.
Eagleson, Kathie L., et al.. (2007). Disruption of Foxg1 expression by knock-in of Cre recombinase: Effects on the development of the mouse telencephalon. Neuroscience. 148(2). 385–399. 65 indexed citations
18.
Qin, Qin, John C. Gore, Mark D. Does, Malcolm J. Avison, & Robin A. de Graaf. (2007). 2D arbitrary shape‐selective excitation summed spectroscopy (ASSESS). Magnetic Resonance in Medicine. 58(1). 19–26. 20 indexed citations
19.
Does, Mark D., et al.. (2005). Selective excitation of myelin water using inversion–recovery‐based preparations. Magnetic Resonance in Medicine. 54(3). 743–747. 17 indexed citations
20.
Beaulieu, Christian, Mark D. Does, R. E. Snyder, & Peter S. Allen. (1996). Changes in water diffusion due to Wallerian degeneration in peripheral nerve. Magnetic Resonance in Medicine. 36(4). 627–631. 227 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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