John L. Ulmer

5.3k total citations
108 papers, 3.8k citations indexed

About

John L. Ulmer is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Surgery. According to data from OpenAlex, John L. Ulmer has authored 108 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Radiology, Nuclear Medicine and Imaging, 31 papers in Cognitive Neuroscience and 19 papers in Surgery. Recurrent topics in John L. Ulmer's work include Advanced Neuroimaging Techniques and Applications (32 papers), Advanced MRI Techniques and Applications (25 papers) and Functional Brain Connectivity Studies (15 papers). John L. Ulmer is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (32 papers), Advanced MRI Techniques and Applications (25 papers) and Functional Brain Connectivity Studies (15 papers). John L. Ulmer collaborates with scholars based in United States, France and Philippines. John L. Ulmer's co-authors include Leighton P. Mark, Vincent P. Mathews, Bharat B. Biswal, David L. Daniels, Brian D. Schmit, Robert W. Prost, A.D. Elster, Lotfi Hacein‐Bey, Wade M. Mueller and Benjamin M. Ellingson and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Radiology.

In The Last Decade

John L. Ulmer

107 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John L. Ulmer United States 38 1.4k 968 779 546 470 108 3.8k
Takashi Yoshiura Japan 43 2.8k 2.0× 1.3k 1.3× 844 1.1× 857 1.6× 429 0.9× 278 6.2k
Naoto Hayashi Japan 35 2.2k 1.6× 793 0.8× 552 0.7× 832 1.5× 258 0.5× 174 4.3k
Sven Ekholm United States 37 1.4k 1.0× 854 0.9× 799 1.0× 887 1.6× 791 1.7× 147 5.4k
Jaap Valk Netherlands 42 1.7k 1.2× 1.0k 1.0× 845 1.1× 1.2k 2.1× 700 1.5× 116 6.8k
Chandrasekharan Kesavadas India 35 1.2k 0.8× 875 0.9× 495 0.6× 1.1k 2.1× 347 0.7× 267 4.5k
Ritva Vanninen Finland 42 1.4k 1.0× 999 1.0× 577 0.7× 851 1.6× 273 0.6× 213 5.9k
Gregor Kasprian Austria 33 1.3k 0.9× 609 0.6× 615 0.8× 354 0.6× 282 0.6× 251 4.0k
Yoshitaka Masutani Japan 35 3.2k 2.2× 802 0.8× 415 0.5× 918 1.7× 244 0.5× 141 5.1k
Matthew D. Budde United States 30 2.7k 1.9× 810 0.8× 351 0.5× 752 1.4× 767 1.6× 95 4.6k
Alexander C. Mamourian United States 32 639 0.4× 1.2k 1.2× 454 0.6× 1.0k 1.9× 363 0.8× 95 4.1k

Countries citing papers authored by John L. Ulmer

Since Specialization
Citations

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

Fields of papers citing papers by John L. Ulmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John L. Ulmer. 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 John L. Ulmer. The network helps show where John L. Ulmer may publish in the future.

Co-authorship network of co-authors of John L. Ulmer

This figure shows the co-authorship network connecting the top 25 collaborators of John L. Ulmer. A scholar is included among the top collaborators of John L. Ulmer 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 John L. Ulmer. John L. Ulmer 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.
Agarwal, Mohit, John L. Ulmer, Andrew P. Klein, & Leighton P. Mark. (2018). Why Is This Auntminnie a Diagnostic Conundrum?: A Knowledge-Based Approach to Balo’s Concentric Sclerosis From Reports of 3 Cases and Pooled Data From 68 Other Patients in the Literature. Current Problems in Diagnostic Radiology. 48(4). 415–422. 5 indexed citations
2.
Raslau, Flavius D., Jean C. Augustinack, Andrew P. Klein, et al.. (2015). Memory Part 3: The Role of the Fornix and Clinical Cases. American Journal of Neuroradiology. 36(9). 1604–1608. 19 indexed citations
3.
Ulmer, John L., Andrew P. Klein, Wade M. Mueller, Edgar A. DeYoe, & Leighton P. Mark. (2014). Preoperative Diffusion Tensor Imaging. Neuroimaging Clinics of North America. 24(4). 599–617. 19 indexed citations
4.
Raslau, Flavius D., Ian T. Mark, Andrew P. Klein, et al.. (2014). Memory Part 2: The Role of the Medial Temporal Lobe. American Journal of Neuroradiology. 36(5). 846–849. 41 indexed citations
5.
Vedantam, Aditya, et al.. (2012). Diffusion tensor imaging and tractography in brown-sequard syndrome. Spinal Cord. 50(12). 928–930. 14 indexed citations
6.
Olulade, Olumide A., et al.. (2011). Assessment of temporal state-dependent interactions between auditory fMRI responses to desired and undesired acoustic sources. Hearing Research. 277(1-2). 67–77. 9 indexed citations
7.
Ellingson, Benjamin M., John L. Ulmer, & Brian D. Schmit. (2007). Gray and White Matter Delineation in the Human Spinal Cord Using Diffusion Tensor Imaging and Fuzzy Logic. Academic Radiology. 14(7). 847–858. 20 indexed citations
8.
Franczak, Malgorzata, Robert W. Prost, Piero Antuono, et al.. (2007). Proton Magnetic Resonance Spectroscopy of the Hippocampus in Patients With Mild Cognitive Impairment. Journal of Computer Assisted Tomography. 31(5). 666–670. 18 indexed citations
9.
Aralaşmak, Ayşe, et al.. (2006). Association, Commissural, and Projection Pathways and Their Functional Deficit Reported in Literature. Journal of Computer Assisted Tomography. 30(5). 695–715. 104 indexed citations
10.
Ulmer, John L.. (2005). White matter in cognitive neuroscience : advances in diffusion tensor imaging and its applications. New York Academy of Sciences eBooks. 5 indexed citations
11.
Ulmer, John L., Lotfi Hacein‐Bey, Vincent P. Mathews, et al.. (2004). Lesion-induced Pseudo-dominance at Functional Magnetic Resonance Imaging: Implications for Preoperative Assessments. Neurosurgery. 55(3). 569–581. 153 indexed citations
12.
Biswal, Bharat B., Paul A. Taylor, & John L. Ulmer. (2001). Use of Jackknife Resampling Techniques to Estimate the Confidence Intervals of fMRI Parameters. Journal of Computer Assisted Tomography. 25(1). 113–120. 16 indexed citations
13.
Mathews, Vincent P., et al.. (1999). Brain: Gadolinium-enhanced Fast Fluid-attenuated Inversion-Recovery MR Imaging. Radiology. 211(1). 257–263. 165 indexed citations
14.
Ulmer, John L., Bharat B. Biswal, F. Zerrin Yetkin, et al.. (1998). Cortical Activation Response to Acoustic Echo Planar Scanner Noise. Journal of Computer Assisted Tomography. 22(1). 111–119. 46 indexed citations
15.
Ulmer, John L., Bharat B. Biswal, Leighton P. Mark, et al.. (1998). Acoustic Echoplanar Scanner Noise and Pure Tone Hearing Thresholds: The Effects of Sequence Repetition Times and Acoustic Noise Rates. Journal of Computer Assisted Tomography. 22(3). 480–486. 20 indexed citations
16.
Ulmer, John L., et al.. (1995). Lumbar spondylolysis: reactive marrow changes seen in adjacent pedicles on MR images.. American Journal of Roentgenology. 164(2). 429–433. 52 indexed citations
17.
Hamilton, Craig A., A.D. Elster, & John L. Ulmer. (1994). "Crisscross" MR imaging: improved resolution by averaging signals with swapped phase-encoding axes.. Radiology. 193(1). 276–279. 8 indexed citations
18.
19.
Auringer, Sam T., John L. Ulmer, Thomas E. Sumner, & Charles Turner. (1993). Congenital cyst of the pancreas. Journal of Pediatric Surgery. 28(12). 1570–1571. 44 indexed citations
20.
Woodring, John H., et al.. (1991). A prospective evaluation of plain radiographic signs of chronic obstructive pulmonary disease. Journal of Thoracic Imaging. 6(2). 14–21. 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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