Phillip E. Gander

2.7k total citations
49 papers, 1.6k citations indexed

About

Phillip E. Gander is a scholar working on Cognitive Neuroscience, Sensory Systems and Experimental and Cognitive Psychology. According to data from OpenAlex, Phillip E. Gander has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cognitive Neuroscience, 17 papers in Sensory Systems and 14 papers in Experimental and Cognitive Psychology. Recurrent topics in Phillip E. Gander's work include Hearing Loss and Rehabilitation (26 papers), Neural dynamics and brain function (18 papers) and Hearing, Cochlea, Tinnitus, Genetics (17 papers). Phillip E. Gander is often cited by papers focused on Hearing Loss and Rehabilitation (26 papers), Neural dynamics and brain function (18 papers) and Hearing, Cochlea, Tinnitus, Genetics (17 papers). Phillip E. Gander collaborates with scholars based in United States, United Kingdom and Canada. Phillip E. Gander's co-authors include Timothy D. Griffiths, Sukhbinder Kumar, Christopher K. Kovach, William Sedley, Deborah A. Hall, Derek J. Hoare, Matthew A. Howard, Hiroto Kawasaki, Sandra Smith and Hiroyuki Oya and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Phillip E. Gander

46 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillip E. Gander United States 21 1.4k 754 337 289 176 49 1.6k
William Sedley United Kingdom 21 1.4k 1.0× 806 1.1× 319 0.9× 332 1.1× 211 1.2× 45 1.6k
Hidehiko Okamoto Japan 20 1.1k 0.8× 588 0.8× 322 1.0× 237 0.8× 136 0.8× 61 1.3k
Dave R.M. Langers Netherlands 20 1.2k 0.9× 772 1.0× 462 1.4× 217 0.8× 73 0.4× 31 1.5k
Fatima T. Husain United States 24 1.8k 1.3× 1.4k 1.9× 875 2.6× 486 1.7× 185 1.1× 74 2.2k
Henry J. Michalewski United States 28 1.6k 1.2× 750 1.0× 348 1.0× 247 0.9× 205 1.2× 40 1.9k
Paul H. Délano Chile 18 630 0.5× 607 0.8× 282 0.8× 116 0.4× 176 1.0× 85 1.1k
Andreas Wollbrink Germany 23 945 0.7× 376 0.5× 233 0.7× 129 0.4× 389 2.2× 52 1.4k
Pascale Sandmann Germany 24 1.6k 1.2× 205 0.3× 389 1.2× 652 2.3× 166 0.9× 44 1.8k
Martin Pienkowski Canada 21 1.0k 0.7× 847 1.1× 246 0.7× 97 0.3× 409 2.3× 34 1.3k
Nadia Müller Germany 19 1.4k 1.0× 399 0.5× 333 1.0× 354 1.2× 24 0.1× 29 1.7k

Countries citing papers authored by Phillip E. Gander

Since Specialization
Citations

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

Fields of papers citing papers by Phillip E. Gander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip E. Gander

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip E. Gander. A scholar is included among the top collaborators of Phillip E. Gander 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 Phillip E. Gander. Phillip E. Gander 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
2.
Schultz, Jordan L., Phillip E. Gander, Craig D. Workman, et al.. (2025). A dose-finding study shows terazosin enhanced energy metabolism in neurologically healthy adults. Journal of Parkinson s Disease. 15(7). 1253–1263.
3.
Man, Vincent, Jeffrey Cockburn, Oliver Flouty, et al.. (2024). Temporally organized representations of reward and risk in the human brain. Nature Communications. 15(1). 2162–2162. 2 indexed citations
4.
Wang, Jeffrey B., Joel Bruss, Hiroyuki Oya, et al.. (2024). Effects of transcranial magnetic stimulation on the human brain recorded with intracranial electrocorticography. Molecular Psychiatry. 29(5). 1228–1240. 22 indexed citations
5.
Berger, Joel I., Phillip E. Gander, & Sukhbinder Kumar. (2024). A social cognition perspective on misophonia. Philosophical Transactions of the Royal Society B Biological Sciences. 379(1908). 20230257–20230257. 9 indexed citations
6.
Berger, Joel I., Phillip E. Gander, Ann Holmes, et al.. (2023). Neural Correlates of Individual Differences in Speech-in-Noise Performance in a Large Cohort of Cochlear Implant Users. Ear and Hearing. 44(5). 1107–1120. 3 indexed citations
7.
Jenison, Rick L., Peter N. Taylor, Bob McMurray, et al.. (2023). Immediate neural impact and incomplete compensation after semantic hub disconnection. Nature Communications. 14(1). 6264–6264. 5 indexed citations
8.
Berger, Joel I., Phillip E. Gander, Yukiko Kikuchi, et al.. (2023). Distribution of multiunit pitch responses recorded intracranially from human auditory cortex. Cerebral Cortex. 33(14). 9105–9116. 1 indexed citations
9.
Fietsam, Alexandra C., et al.. (2023). Effect of Post-COVID-19 on Brain Volume and Glucose Metabolism: Influence of Time Since Infection and Fatigue Status. Brain Sciences. 13(4). 675–675. 9 indexed citations
10.
Kumar, Sukhbinder, Mercede Erfanian, William Sedley, et al.. (2021). The Motor Basis for Misophonia. Journal of Neuroscience. 41(26). 5762–5770. 43 indexed citations
11.
Kumar, Sukhbinder, Phillip E. Gander, Joel I. Berger, et al.. (2020). Oscillatory correlates of auditory working memory examined with human electrocorticography. Neuropsychologia. 150. 107691–107691. 21 indexed citations
12.
Billig, Alexander J., Björn Herrmann, Ariane E. Rhone, et al.. (2019). A Sound-Sensitive Source of Alpha Oscillations in Human Non-Primary Auditory Cortex. Journal of Neuroscience. 39(44). 8679–8689. 29 indexed citations
13.
Gander, Phillip E., Sukhbinder Kumar, William Sedley, et al.. (2019). Direct electrophysiological mapping of human pitch-related processing in auditory cortex. NeuroImage. 202. 116076–116076. 16 indexed citations
14.
Gander, Phillip E., et al.. (2017). Does Chronic Tinnitus Alter the Emotional Response Function of the Amygdala?: A Sound-Evoked fMRI Study. Frontiers in Aging Neuroscience. 9. 31–31. 18 indexed citations
15.
Oya, Hiroyuki, Phillip E. Gander, Christopher I. Petkov, et al.. (2017). Neural phase locking predicts BOLD response in human auditory cortex. NeuroImage. 169. 286–301. 11 indexed citations
16.
Kumar, Sukhbinder, Sabine Joseph, Phillip E. Gander, et al.. (2016). A Brain System for Auditory Working Memory. Journal of Neuroscience. 36(16). 4492–4505. 124 indexed citations
17.
Sedley, William, Karl Friston, Phillip E. Gander, Sukhbinder Kumar, & Timothy D. Griffiths. (2016). An Integrative Tinnitus Model Based on Sensory Precision. Trends in Neurosciences. 39(12). 799–812. 151 indexed citations
18.
Kovach, Christopher K. & Phillip E. Gander. (2015). The demodulated band transform. Journal of Neuroscience Methods. 261. 135–154. 130 indexed citations
19.
Hoare, Derek J., Mark Edmondson‐Jones, Phillip E. Gander, & Deborah A. Hall. (2014). Agreement and Reliability of Tinnitus Loudness Matching and Pitch Likeness Rating. PLoS ONE. 9(12). e114553–e114553. 39 indexed citations
20.
Hoare, Derek J., Phillip E. Gander, Luke Collins, Sandra Smith, & Deborah A. Hall. (2010). Management of tinnitus in English NHS audiology departments: an evaluation of current practice. Journal of Evaluation in Clinical Practice. 18(2). 326–334. 79 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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