Tim M. Bruns

1.5k total citations
58 papers, 957 citations indexed

About

Tim M. Bruns is a scholar working on Cellular and Molecular Neuroscience, Urology and Cognitive Neuroscience. According to data from OpenAlex, Tim M. Bruns has authored 58 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 23 papers in Urology and 16 papers in Cognitive Neuroscience. Recurrent topics in Tim M. Bruns's work include Neuroscience and Neural Engineering (23 papers), Urinary Bladder and Prostate Research (23 papers) and EEG and Brain-Computer Interfaces (16 papers). Tim M. Bruns is often cited by papers focused on Neuroscience and Neural Engineering (23 papers), Urinary Bladder and Prostate Research (23 papers) and EEG and Brain-Computer Interfaces (16 papers). Tim M. Bruns collaborates with scholars based in United States, South Korea and Saudi Arabia. Tim M. Bruns's co-authors include Douglas J. Weber, Robert A. Gaunt, Jennifer L. Collinger, Kenneth C. Curley, Wei Wang, Michael L. Boninger, Narendra Bhadra, John P. Seymour, Kenneth J. Gustafson and Robert Graham and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Comparative Neurology.

In The Last Decade

Tim M. Bruns

55 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim M. Bruns United States 20 462 327 295 211 140 58 957
Paul B. Yoo United States 18 356 0.8× 322 1.0× 179 0.6× 458 2.2× 273 1.9× 68 1.1k
Narendra Bhadra United States 19 639 1.4× 282 0.9× 412 1.4× 190 0.9× 173 1.2× 52 1.0k
Kenneth J. Gustafson United States 25 568 1.2× 309 0.9× 448 1.5× 647 3.1× 282 2.0× 66 1.6k
D. N. Rushton United Kingdom 14 374 0.8× 506 1.5× 515 1.7× 321 1.5× 222 1.6× 24 1.5k
Reza Jalinous United States 6 136 0.3× 249 0.8× 209 0.7× 32 0.2× 476 3.4× 6 722
Leo A. Bullara United States 30 2.0k 4.4× 1.2k 3.8× 746 2.5× 85 0.4× 394 2.8× 46 2.7k
Andrea Willhite United States 6 177 0.4× 94 0.3× 220 0.7× 64 0.3× 230 1.6× 7 994
R. H. Baxendale United Kingdom 19 126 0.3× 199 0.6× 460 1.6× 19 0.1× 111 0.8× 37 1.3k
Katharina Müller Germany 16 61 0.1× 600 1.8× 169 0.6× 54 0.3× 350 2.5× 56 1.2k
Kirn R. Kessler Germany 20 571 1.2× 327 1.0× 174 0.6× 13 0.1× 520 3.7× 24 1.7k

Countries citing papers authored by Tim M. Bruns

Since Specialization
Citations

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

Fields of papers citing papers by Tim M. Bruns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim M. Bruns. 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 Tim M. Bruns. The network helps show where Tim M. Bruns may publish in the future.

Co-authorship network of co-authors of Tim M. Bruns

This figure shows the co-authorship network connecting the top 25 collaborators of Tim M. Bruns. A scholar is included among the top collaborators of Tim M. Bruns 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 Tim M. Bruns. Tim M. Bruns 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.
Gupta, Priyanka, et al.. (2025). Perineal and Rectal Nerve Recruitment Order Varies During Pudendal Neurostimulator Implant Surgery. Neurourology and Urodynamics. 44(4). 851–859.
2.
Graham, Robert, et al.. (2024). Multiformity of extracellular microelectrode recordings from Aδ neurons in the dorsal root ganglia: a computational modeling study. Journal of Neurophysiology. 131(2). 261–277. 2 indexed citations
3.
Patel, Paras R., Dilara Meli, Elissa Welle, et al.. (2022). Ultraflexible and Stretchable Intrafascicular Peripheral Nerve Recording Device with Axon‐Dimension, Cuff‐Less Microneedle Electrode Array. Small. 18(21). e2200311–e2200311. 30 indexed citations
4.
Bruns, Tim M., et al.. (2022). Pudendal, but not tibial, nerve stimulation modulates vulvar blood perfusion in anesthetized rodents. International Urogynecology Journal. 34(7). 1477–1486. 6 indexed citations
5.
Bittner, Katie C., et al.. (2022). Closed-loop sacral neuromodulation for bladder function using dorsal root ganglia sensory feedback in an anesthetized feline model. Medical & Biological Engineering & Computing. 60(5). 1527–1540. 5 indexed citations
6.
Welle, Elissa, Julianna M. Richie, John P. Seymour, et al.. (2021). Sharpened and Mechanically Durable Carbon Fiber Electrode Arrays for Neural Recording. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 993–1003. 23 indexed citations
7.
Na, Kyounghwan, et al.. (2021). High-density neural recordings from feline sacral dorsal root ganglia with thin-film array. Journal of Neural Engineering. 18(4). 46005–46005. 8 indexed citations
8.
Graham, Robert, Tim M. Bruns, Bo Duan, & Scott F. Lempka. (2020). The Effect of Clinically Controllable Factors on Neural Activation During Dorsal Root Ganglion Stimulation. Neuromodulation Technology at the Neural Interface. 24(4). 655–671. 10 indexed citations
9.
Na, Kyounghwan, Jiaao Lu, Mihály Vöröslakos, et al.. (2020). Novel diamond shuttle to deliver flexible neural probe with reduced tissue compression. Microsystems & Nanoengineering. 6(1). 37–37. 38 indexed citations
10.
Graham, Robert, et al.. (2019). Spatial models of cell distribution in human lumbar dorsal root ganglia. The Journal of Comparative Neurology. 528(10). 1644–1659. 13 indexed citations
11.
Bruns, Tim M., et al.. (2018). Flexible microelectrode array recordings from neural ganglia. OSF Preprints (OSF Preprints). 1 indexed citations
12.
Na, Kyounghwan, et al.. (2018). Flexible microelectrode array for interfacing with the surface of neural ganglia. Journal of Neural Engineering. 15(3). 36027–36027. 28 indexed citations
13.
Chhabra, Kavaljit H., Alfor G. Lewis, Paul S. Cederna, et al.. (2018). Electrical stimulation of renal nerves for modulating urine glucose excretion in rats. SHILAP Revista de lepidopterología. 4(1). 7–7. 8 indexed citations
14.
Bruns, Tim M., et al.. (2017). DRG Cross Section Analysis. OSF Preprints (OSF Preprints). 1 indexed citations
15.
Bruns, Tim M., et al.. (2017). Anesthetized rat vaginal blood flow changes driven by tibial nerve stimulation. OSF Preprints (OSF Preprints). 1 indexed citations
16.
Bruns, Tim M., et al.. (2017). Quantitative models of feline lumbosacral dorsal root ganglia neuronal cell density. Journal of Neuroscience Methods. 290. 116–124. 15 indexed citations
17.
Bruns, Tim M., et al.. (2016). Bladder Neuron Hysteresis. Open Science Framework. 1 indexed citations
18.
Bruns, Tim M., et al.. (2016). Hysteretic behavior of bladder afferent neurons in response to changes in bladder pressure. BMC Neuroscience. 17(1). 57–57. 14 indexed citations
19.
Collinger, Jennifer L., Stephen T. Foldes, Tim M. Bruns, et al.. (2013). Neuroprosthetic technology for individuals with spinal cord injury. Journal of Spinal Cord Medicine. 36(4). 258–272. 67 indexed citations
20.
Bruns, Tim M., Narendra Bhadra, & Kenneth J. Gustafson. (2009). Intraurethral stimulation for reflex bladder activation depends on stimulation pattern and location. Neurourology and Urodynamics. 28(6). 561–566. 17 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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