Trey E. Shenk

689 total citations
16 papers, 550 citations indexed

About

Trey E. Shenk is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Trey E. Shenk has authored 16 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Cognitive Neuroscience. Recurrent topics in Trey E. Shenk's work include Traumatic Brain Injury Research (14 papers), Functional Brain Connectivity Studies (7 papers) and Advanced MRI Techniques and Applications (7 papers). Trey E. Shenk is often cited by papers focused on Traumatic Brain Injury Research (14 papers), Functional Brain Connectivity Studies (7 papers) and Advanced MRI Techniques and Applications (7 papers). Trey E. Shenk collaborates with scholars based in United States. Trey E. Shenk's co-authors include Thomas M. Talavage, Eric A. Nauman, Larry J. Leverenz, Meghan E. Robinson, Kausar Abbas, Victoria N. Poole, Evan L. Breedlove, Ulrike Dydak, Diana Otero Svaldi and Katherine M. Breedlove and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and British Journal of Sports Medicine.

In The Last Decade

Trey E. Shenk

15 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Trey E. Shenk United States	10	481	239	161	126	108	16	550
Kausar Abbas United States	11	371 0.8×	189 0.8×	157 1.0×	97 0.8×	146 1.4×	16	523
Marc Muehlmann Germany	12	640 1.3×	350 1.5×	250 1.6×	172 1.4×	73 0.7×	17	781
Michael Gay United States	9	534 1.1×	284 1.2×	212 1.3×	158 1.3×	192 1.8×	13	762
Leonard V. Messner United States	11	437 0.9×	286 1.2×	134 0.8×	165 1.3×	45 0.4×	24	733
Kelsey Bryk Canada	11	276 0.6×	184 0.8×	72 0.4×	118 0.9×	26 0.2×	30	373
Dallas C. Hack United States	8	638 1.3×	533 2.2×	62 0.4×	345 2.7×	40 0.4×	16	891
David Polanski United States	5	410 0.9×	262 1.1×	85 0.5×	184 1.5×	26 0.2×	6	464
Stefan D. Klimaj United States	13	455 0.9×	313 1.3×	290 1.8×	106 0.8×	197 1.8×	17	637
Vivian Schultz Germany	7	242 0.5×	93 0.4×	72 0.4×	79 0.6×	35 0.3×	14	320
Katherine M. Breedlove United States	13	460 1.0×	143 0.6×	65 0.4×	117 0.9×	37 0.3×	40	535

Countries citing papers authored by Trey E. Shenk

Since Specialization

Citations

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

Fields of papers citing papers by Trey E. Shenk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trey E. Shenk. 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 Trey E. Shenk. The network helps show where Trey E. Shenk may publish in the future.

Co-authorship network of co-authors of Trey E. Shenk

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

All Works

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16 of 16 papers shown

Shenk, Trey E., et al.. (2023). Indoor Wireless Localization of Uncooperative Sources Using a Ray Tracing Model. 68–70. 1 indexed citations

Shenk, Trey E., et al.. (2022). Normalized Brain Tissue–Level Evaluation of Volumetric Changes of Youth Athletes Participating in Collision Sports. SHILAP Revista de lepidopterología. 3(1). 57–69. 4 indexed citations

Svaldi, Diana Otero, Trey E. Shenk, Victoria N. Poole, et al.. (2021). Development of brain atlases for early-to-middle adolescent collision-sport athletes. Scientific Reports. 11(1). 6440–6440. 1 indexed citations

Williamson, James R., Trey E. Shenk, Hrishikesh M. Rao, et al.. (2021). Using Dynamics of Eye Movements, Speech Articulation and Brain Activity to Predict and Track mTBI Screening Outcomes. Frontiers in Neurology. 12. 665338–665338. 1 indexed citations

Rao, Hrishikesh M., James R. Williamson, Trey E. Shenk, et al.. (2021). Using Oculomotor Features to Predict Changes in Optic Nerve Sheath Diameter and ImPACT Scores From Contact-Sport Athletes. Frontiers in Neurology. 12. 584684–584684. 3 indexed citations

Chun, Il Yong, Jared R. Brosch, Roy Lycke, et al.. (2019). Every hit matters: White matter diffusivity changes in high school football athletes are correlated with repetitive head acceleration event exposure. NeuroImage Clinical. 24. 101930–101930. 30 indexed citations

Svaldi, Diana Otero, Trey E. Shenk, Victoria N. Poole, et al.. (2018). Dependence on subconcussive impacts of brain metabolism in collision sport athletes: an MR spectroscopic study. Brain Imaging and Behavior. 13(3). 735–749. 44 indexed citations

Talavage, Thomas M., Katherine M. Breedlove, Evan L. Breedlove, et al.. (2017). Improved prediction of subconcussive neurophysiological changes by kinematic impulse. British Journal of Sports Medicine. 51(11). A67.1–A67. 1 indexed citations

Svaldi, Diana Otero, Meghan E. Robinson, Trey E. Shenk, et al.. (2015). Cerebrovascular Reactivity Alterations in Asymptomatic High School Football Players. Developmental Neuropsychology. 40(2). 80–84. 36 indexed citations

10.

Poole, Victoria N., Evan L. Breedlove, Trey E. Shenk, et al.. (2015). Sub-Concussive Hit Characteristics Predict Deviant Brain Metabolism in Football Athletes. Developmental Neuropsychology. 40(1). 12–17. 60 indexed citations

11.

Robinson, Meghan E., Trey E. Shenk, Evan L. Breedlove, et al.. (2015). The Role of Location of Subconcussive Head Impacts in fMRI Brain Activation Change. Developmental Neuropsychology. 40(2). 74–79. 29 indexed citations

12.

Abbas, Kausar, Trey E. Shenk, Victoria N. Poole, et al.. (2015). Effects of Repetitive Sub-Concussive Brain Injury on the Functional Connectivity of Default Mode Network in High School Football Athletes. Developmental Neuropsychology. 40(1). 51–56. 63 indexed citations

13.

Shenk, Trey E., Meghan E. Robinson, Diana Otero Svaldi, et al.. (2015). fMRI of Visual Working Memory in High School Football Players. Developmental Neuropsychology. 40(2). 63–68. 20 indexed citations

14.

Abbas, Kausar, Trey E. Shenk, Victoria N. Poole, et al.. (2014). Alteration of Default Mode Network in High School Football Athletes Due to Repetitive Subconcussive Mild Traumatic Brain Injury: A Resting-State Functional Magnetic Resonance Imaging Study. Brain Connectivity. 5(2). 91–101. 156 indexed citations

15.

Poole, Victoria N., Kausar Abbas, Trey E. Shenk, et al.. (2014). MR Spectroscopic Evidence of Brain Injury in the Non-Diagnosed Collision Sport Athlete. Developmental Neuropsychology. 39(6). 459–473. 76 indexed citations

16.

Helfer, Brian S., Thomas F. Quatieri, James R. Williamson, et al.. (2014). Articulatory dynamics and coordination in classifying cognitive change with preclinical mTBI. 485–489. 25 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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